{"id":11077,"date":"2021-04-26T11:53:37","date_gmt":"2021-04-26T11:53:37","guid":{"rendered":"https:\/\/mundofibracojedes.com\/?p=11077"},"modified":"2024-03-08T22:18:27","modified_gmt":"2024-03-08T22:18:27","slug":"10-cursos-gratuitos-en-linea-de-ciencia-de-datos","status":"publish","type":"post","link":"https:\/\/mundofibracojedes.com\/index.php\/10-cursos-gratuitos-en-linea-de-ciencia-de-datos\/","title":{"rendered":"10 cursos gratuitos en l\u00ednea de ciencia de datos para principiantes Brita Inteligencia Artificial"},"content":{"rendered":"<p>Con esta maravillosa oferta, definitivamente estamos de acuerdo en que la ciencia de datos es para todos. Despu\u00e9s de convertirte en un cient\u00edfico de datos de nivel inicial, puedes pasar a ser un cient\u00edfico de datos de nivel medio y luego un cient\u00edfico de datos senior. Por lo general, puedes esperar un aumento de sueldo significativo a medida que asciendes en posiciones. Cuantos m\u00e1s a\u00f1os de experiencia ganes construyendo y compartiendo proyectos, mejor ser\u00e1 tu carrera. Los cient\u00edficos de datos senior ganan una media mensual de 52,647 pesos mexicanos\u2014casi 20,000 pesos m\u00e1s al mes en comparaci\u00f3n con los cient\u00edficos de datos no senior [5].<\/p>\n<div style='text-align:center'><iframe width='567' height='313' src='https:\/\/www.youtube.com\/embed\/lYaSbbKHqE0' frameborder='0' alt='Curso de Cient\u00edfico de Datos' allowfullscreen><\/iframe><\/div>\n<p>El curso consta de no m\u00e1s de 2 horas de contenido, lo que facilita su programaci\u00f3n incluso para los empresarios m\u00e1s ocupados. Entonces, sin m\u00e1s pre\u00e1mbulos, pasemos directamente a los mejores cursos de ciencia de datos que existen. Actualmente es profesor investigador, Coordinador del Certificado de Alta Especialidad en Ciencia de Datos y Director Nacional de los programas de Maestria y Doctorado en Ciencias Computacionales del Tecnol\u00f3gico de Monterrey.<\/p>\n<h2>\u00bfCu\u00e1ndo est\u00e1 lista una empresa para contratar un cient\u00edfico de datos?<\/h2>\n<p>Para ejemplificar estos conceptos y su desarrollo a trav\u00e9s de Python, se ver\u00e1n casos pr\u00e1cticos en industrias como el retail, medicina y log\u00edstica, entre otras. Este programa en ciencia de datos te permite conocer y desarrollar las principales habilidades t\u00e9cnicas para  aportar como miembro de un equipo en un proyecto de ciencia de datos. EdX no es la \u00fanica plataforma de aprendizaje en l\u00ednea que ofrece cursos de ciencia de datos de m\u00faltiples m\u00f3dulos. Udacity <a href=\"https:\/\/aquinoticias.mx\/conviertete-en-un-cientifico-de-datos-exitoso-con-el-bootcamp-de-ciencia-de-datos-de-tripleten\/\">Convi\u00e9rtete en un cient\u00edfico de datos exitoso con el bootcamp de ciencia de datos de TripleTen<\/a> hospeda los nanogrados &#8211; cursos prolongados que duran varios  meses, con el objetivo de proporcionar los conocimientos y las habilidades necesarias para comenzar una carrera exitosa en la programaci\u00f3n. Al igual que otras muchas plataformas de aprendizaje en l\u00ednea que ofrecen cursos de ciencia de datos, los programas de Coursera var\u00edan en precio. Cuando se trata de este curso de ciencia de datos en l\u00ednea, es una de las opciones m\u00e1s econ\u00f3micas que existen.<\/p>\n<ul>\n<li>Sin embargo, el programa le permite a los usuarios aprender a su propio ritmo e incluso programar fechas l\u00edmite de acuerdo con sus necesidades individuales.<\/li>\n<li>Se estima que el curso se completa en 4 meses, el programa consta de 5 m\u00f3dulos, que incluyen lecciones te\u00f3ricas y la posibilidad de trabajar en proyectos de la vida real.<\/li>\n<li>Cuantos m\u00e1s a\u00f1os de experiencia ganes construyendo y compartiendo proyectos, mejor ser\u00e1 tu carrera.<\/li>\n<li>Los cient\u00edficos de datos son una nueva estirpe de expertos en datos anal\u00edticos que poseen habilidades t\u00e9cnicas para resolver problemas complejos \u2013 y la curiosidad de explorar qu\u00e9 problemas necesitan resolverse.<\/li>\n<li>Este curso te ayudar\u00e1 a entender los datos y la ciencia detr\u00e1s de ellos.En este curso, aprender\u00e1s a usar los datos, a preparar los datos para realizar operaciones en ellos.<\/li>\n<\/ul>\n<p>Estos cursos han dejado satisfechos a cientos de miles de estudiantes que han obtenido el trabajo de sus sue\u00f1os con las habilidades y el conocimiento adquirido durante el curso de los programas. Y con expertos experimentados y las asociaciones con universidades de fama mundial, creemos que todos podr\u00e1n encontrar el mejor curso de ciencia de datos para ellos. Hasta este punto, has visto que hay muchos cursos excelentes de ciencia de datos disponibles que puedes tomar para aprender mucho m\u00e1s. Sin embargo, <a href=\"https:\/\/aquinoticias.mx\/conviertete-en-un-cientifico-de-datos-exitoso-con-el-bootcamp-de-ciencia-de-datos-de-tripleten\/\">https:\/\/aquinoticias.mx\/conviertete-en-un-cientifico-de-datos-exitoso-con-el-bootcamp-de-ciencia-de-datos-de-tripleten\/<\/a> algunos de los mejores cursos de ciencia de datos ofrecen mucho m\u00e1s que un programa de cuatro semanas. Debido a la naturaleza espec\u00edfica del material de aprendizaje, el curso se considera de nivel intermedio y est\u00e1 destinado a aquellos que ya tienen habilidades intermedias de programaci\u00f3n en Python y un conocimiento b\u00e1sico en \u00e1lgebra lineal y aprendizaje autom\u00e1tico. Cuando hablamos sobre ciencia de datos (data science), nos referimos al estudio de datos estructurados o no estructurados.<\/p>\n<h2>\u00bfQu\u00e9 es el an\u00e1lisis de datos?<\/h2>\n<p>Dise\u00f1ado para preparar a los estudiantes para conseguir un trabajo en la ciencia de datos, el programa es mejor para aquellos ya familiarizados con varios temas, como el aprendizaje autom\u00e1tico, la probabilidad y estad\u00edsticas, visualizaci\u00f3n, manejo de datos y programaci\u00f3n en Python. Despu\u00e9s de averiguar qu\u00e9 tan tardado y detallado es este curso en l\u00ednea, es posible que te de miedo de saber cu\u00e1nto cuesta tomarlo. Se entiende que el programa no sea el m\u00e1s barato, si lo comparamos con otros cursos de ciencia de datos mencionados anteriormente, teniendo un precio de $990. No obstante, al momento de escribir este art\u00edculo, edX ofrece el curso completo por solo $793.<\/p>\n<p><img decoding=\"async\" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' src=\"data:image\/jpeg;base64,\/9j\/4AAQSkZJRgABAQAAAQABAAD\/2wCEAAUDBA0KDQ0IDQ0ICAgICAgICAgICggICAgICAgICAgICAgIChANCAgOCggIDRUNDhERExMTCA0WGBYSGBASExIBBQUFCAcIDwkJDxUQEA8VFRUVFRUVFRUVFRUVFhUVFRUVFRUWFRcVFRUVFhUVFxcVFRUXFRUVFRUVEhUVEhUVFf\/AABEIAWgB4AMBIgACEQEDEQH\/xAAdAAABBAMBAQAAAAAAAAAAAAAAAQIDBwQFCAYJ\/8QAXhAAAQMCAwIFDgQTBAkDBQEAAQACAwQRBRIhBzEGE0FRYQgUFyJSU3GBkZKT0dPUMkKh8BUjJCU0NUNUYnJ0dYKxsrO0weEzc5TSFhhVY4SVo7XxZGWiRYOkwuNE\/8QAHAEBAAIDAQEBAAAAAAAAAAAAAAECAwQFBgcI\/8QAPxEAAQQAAwMKBAQFAwUBAQAAAQACAxEEEiEFMUEGExQVIlFSYXGRgaGx8DIzwdEHIzRCciTh8VNigqLSFxb\/2gAMAwEAAhEDEQA\/AOMkIQiIQhCIhCEIiEIQiIQhCIhCEIiEIQiIQhCIhCEIiEIQiIQhCIhCEIiEIQiIQhCIhCEIiEIQiIQhCIhCEIiEIQiIQhCIhCEIiEIQiIQhCIhCEIiEIQiIQhCIhCEIiEIQiIQhCIhCEIiEIQiIQhCIhCEIiEIQiIQhCIhCEIiEIQiIQhCIhCEIiEIQiIQhCIhCEIiEIQiIQhCIhCEIiEIQiIQhCIhCEIiEIQiIQhCIhCEIiEIQiIQhCIhCEIiEIQiIQhCIhCEIiEIQiIQhCIhCEIiEK4\/9XbEO\/YX6Wr90R\/q7Yh37C\/S1fui2OiTeErW6ZD4gqcQri\/1d8Q79hfpav3RNd1POID7thfpav3RT0SbwlOmQ+IKn0K1n7CK4Gxlw30tT7sp2dT9XnXjsL9LV+6p0SbwlR02HxBVEhW47qfq8fdsM9LVe6pR1PuId+wz0tV7qnRJvCVPTIfEFUSFbp6n6v79hnpar3VJ2AK\/v2GelqvdU6JN4SnTIfEFUaFbfYAr+\/YZ6Wq91UM2wiubvlw3xS1XuydDm8JUdNh8QVVIVrR7B6468bhvjlqvdU8bA6\/vuG+lqvdU6HN4SnTYPEFUyFbfYAr+\/YZ6Wq91TXbA68fdsM9LVe6p0ObwlOmweIKpkK2hsCr7X43DLD\/e1XuqOwDX9+wz0tV7qp6FP4SnTYPEFUqFbXYBr+\/YZ6Wq91R2Aq\/v2GelqvdU6FN4So6dB4gqlQra7AVf37DPS1XuqOwDX9+wz0tV7qnQpvCVPTYPEFUqFbg2AV\/fsM9LVe6pDsBr+\/YZ6Wq91UdDm8JTpsHiCqRCtnsB1\/fsM9LVe6pewFX9+wz0tV7qnQ5vCU6bB4gqlQra7AVf37DPS1XuqQ7BK\/v2G+lqvdU6JN4SnTYPEFUyFaj9hNcPuuG+lqfdlGdiFb33DvSVPuysMDOf7SqnH4cf3hVehWh2EK3vuHekqfdk5uw2uP3XDvSVPuydBn8JTp+H8YVWoVpO2GVw+64d6Sp92TTsPre+4d6Sp92UdCn8JU9Pg8YVXoVn9hGt77h\/pKn3ZL2EK3vuHekqfdk6DP4SnT4PGFV6FaHYPre+4d6Sp92R2EK3vuHekqfdk6FP4SnToPEFV6FZ52I1vfcP9JU+7Jh2K1vfcP9JU+7qRgZ\/CU6fB4wqzQrNGxSt75QekqPd0vYSre+Yf6Sp93ToM\/hKdOg8QVYoVlv2LVo+6UHpKj3dRnY5Wd8oPSVHu6noGI8BTp+H8YVcIVhv2Q1Y+6UPikn9gozsnq++UXnz+wTq\/EeAqOn4fxheAQvft2T1R+6UXnz+wTjslq++UXnz+wTq\/EeAp0\/D+MKvkKxGbIas\/dKHz6j3dSt2M1h+6UHpKj3dOgYjwFT0\/D+MKtkKzOwrW99w\/0lR7ug7Fa3vlB6So93UdAn8BTp8HjCrNCs12xStAuZcPHMOMqbnwDrdQnY5Wd8oPSVHu6dAn8BTp8HjCrhCshuxus75QekqPd07sL1nfKD0lR7unQJ\/AU6fB4wq1QrIdsarB90oPSVHu6Vuxms75QekqPd06BP4CnT4PGFWyFZjNitafuuH+kqfd0smxStH3XD\/SVPuydBn8BTp8HjC66QhC9GvMJqQpyY5yWi02MNtqEmG1HIsrEm3HKtVSgg8vyoi273KVqx2X6VkKEKa9MKe\/xpnlUomkrX1zvAs+Q+FayqJJ5VYKpWTR7uRZd1jQbhpaw6ddd5vy68nMnjx2VlClJUKUm\/Ok1RQU0n56qSN\/ImZClj8asEUiZdOKYVKhPaUEpGpWqFKmCjkUqicFjG9QVE9APIn2Slqm0ATC5RvKkLUwhQKUrDnKwyVnVDVgPW1HuWtJvTuXxrKCxVMyTnUPCMKlKxypHSJjlSlkKjSpClCkoEiQlKkc1FJUb3JsYulkS0yybgqbysiONScWnxhShq1i5ZgFgzw35Fq6gLfyuAWhrRqs8TiVR4WJMsSVqyJVC4LKqIom+Dwf0WS6McyxgzlTg4\/0\/kigrOpmW05FnU8d1i0jCdbG3PuHlK2Dxa3Nbk5+X5VUuVmhOEPjTnNA6T8g9acHaDw\/ImPKw2Ssiw6g8qwydVl1BWFfVbA3LEVkxBZAaseArJa9QVIUMrU1gT5XJrSilZFOFFXvU1PuutfisipxtQdyse6E1KtFbaCo8qeQkIRFDO3Sy0tVFYrevb8+Za3EIvmVYKClojccm9ZgF9N\/MBvWpo32Nltboia8Jlk8pjj8\/wDwpRQzrAcy5\/qPndZlSQegc3N5VjkKQqqeMaJQkhANhewJ1O+3TonZfHrv51KIPiHg\/qUWT2M51IApVSmkX+fqTMnKpHJhVkSFMITym2UqErU5m9IEM3oiybKNwUwUbwsFqxCZZASlARAmkKNwUpUTkCFYtQtdKthUFa6Urbi3LXlSsKeFG0pwKuVjCkBTXlAKY4qlK9oQCm3Tmi6gqwUkY\/mkDzdLe3h5+bwJpk8HhVVZMmj5reUfzTImEchTZVjGUjW5CygGljJ1W4p3\/wBFI961UFceU38Ov61OawdHz8CwmI2soeFNKbrWVkZ3\/wBflWTNUXabaG+vLp6ljQP3k6ttuPPybvnvWRopUcbWJxd9N\/yqRtC7ebNH4RA+TentqjfSzR+CAPKd6WQ36dfCrm1TRNELBvJf0NFh5T6lG+e3wWtb0kZj5XcqUJRFuKkNQuS8Yb6km\/PyepZcM5Giwp9yZFKeXxdKEBSCtoZrofIsRjk8uTKFOZMmcsNzlkTFYTylqQLWTFKpxKtZxiDUKLU5VnSSohlvota+dZOFm5vzINUIpbcusFp8QkutjO\/Raapcqv0VBqVbZCROSht1ordTD8wmkqQsPzsmFh+dkRRuWLWDT5+pZZYfnZQVERI3fKPWpCLQPl1GlraaaX1JuenW3iC29JJcLW1tIQd3yt9ayMNB3W+VvrViqhZzkx5Tyw\/Mj1qORh+ZHrQIseQ+H5+JQv8An87Kcxn5ketRuiPzI9alE6PcsiFvL5EyGA\/MhZAjt8wpCgpChKWn52SZT87KbVU1yYVI5p+ZCQsPzsrWijukT2s5+ccvJypWs+d+n1JaJhTbqYsCYWBLUKWORD3KJI5ypl1U2jMngrHJTw5C1QCpCVG4pbqN7lUBSSsaoK10yzpisN6241rSFNaU66aAlKuVROumkpzG3TuLB0B16VUmlcBRsbdSXtoPGfV0Iz\/E5OflP9EmVUOquEJCnJCoVlBMsCoK2Ey1tWVmbuWE71hGWyHTHnWHUO1TWSqVelnMqy3UEgp8laXbyte9yAU0UELMM6WOfl8i1sjysilFyAlqKW+pWXHOpGx8ikoY7CyyyxUc+irBtrUVWmvMtdRm5tzG\/lW2r4NCoMMpRe6so3LJhiT3RLMjiRIxU5zVWyrUVK18rlsq1auVWKNUTio3FOeVDI5UKyJrnLeYVFZoPKdVo6ZuZwHSvSR6BWZ3rHIeCirpNLLUzFZtW+5WBIVjcbRoVxpEpSLTW4kTXBOKarKqY5RPbdTPTLIi1GKRrXUklit5WMuCOXevPS9qfGrDcqlb5jrhNIuoaF9wthFGrAISsTij4Fjzst5Vs5GLBfYnKeU\/PwK4YqFyyItw8AUllLHBpoQbcxFk7i0pCVjlIpixNcxKS1CU26kc1RuUqUhKQprikzIicU0oKCpCgqRhSFEaFUoo3qIPWUWrEqlLddFjfpqnGVRveoM6C5XyLEZUsjlA4J5KaVkApUzWksmuCkY2+icbN\/CPyD1qLVgEkTbb9ARZBbuvazea1zrfkUbnX1TCVGVWBQ52t0rSmKRjEO5SFMwocLoBQSsSyLFnWsrFtqjctTWLOw6LE7QrSVJ1ULVlPgLj0cp\/kFIxltOQaK1K4WFdPa5NqmZT0H52TAVCgpzis3Dd6wIW5j0AXsFtcFiB11325lIVSvSUY0WU5Y9PuUrnLXdqVlG5YWIcyfh8eigqnXKzKTcsjtGqg1KyrKKdSXWNVu5rk9Gv6lhaLKyHctRXvWuewnUBxHPY28q2XEkvbma8MzC5LSB4zbcvRMb5FlfJSowWvCPYelY8jDzFe9liB5ljvp28w8gVcwKtqvKYRAb5iFt5n2CyZmgbrC3IFgVDlcmgsZFlYcxWLIsiVY71iV1cpSJSkWqttIU1KUilQmuTSleVEXKVVIIHPc1jGufI85WsYC5zyeRoGpK9dhOxqaaz55WUjTY8VG3j5ukF1wyM+AvXueCeDQ4TTOr6gsjlEJlqZn68RHa\/ERgAm+4ENuXuNte1Apfh5t0qqlzo6T630tyGyWY+skbrq97rsguLdqwXHdlakbp8S4tg0A3uP39+S25uj4RgdiLLjuaN\/wB\/H3Vw4ZsroKdt38fPbe+eYxj\/AKHFgBSVMWCwHI+TCYndzNVwB3\/VmuuRsTxKSoOeWWaqf3dRLJO4fpSONliAeJbY2PIfxzO+H\/K552\/GPy4W\/E3+n6rr\/rnAjpx+BG+lhWUnL\/8AeWTDwKwuo7aJsLr65qWpe4a8tmSlp8i44TWixDho4G4cNHA84I1BQ7IcPwyuH36hWbt1p\/FC0\/foV1viOylmroZpGHeGThr2nozxhpaPE5eIx\/g3PSG0rbNJ7WRvbRv\/ABXW0O\/Q2Ol7KsOCu0\/EaEji6mWaMb6etLqqFw7kcY7PG3+7e1dE7MdotNjsb6Z7Gw1bWZp6OQh7ZIwQOOp32BewOLb6BzCR+C460nSsL2n09vfxH38fVbsL8JjOyy438Adx+\/h6KseL0\/Cvv5Lc1udMMa9Vw0wDrOXJvhkBfA478oNnMPO5pI8RB0vZaF0a345A9oc3cVpSRujcWu3ha2SNY0jFspY1hzNWRUtYEqjYppgmBRSm0LCxHE2RWzOte9hYkm3QBeyyamSwWk4ORMqcSo4JGtlhkq6aKSN+rHsdLZzXDlBBUWBv4An2VXk6VvJA9zSlPCaLnd5r\/UhvCaLnd5r\/AFLprsYYX940Xo\/6o7GGF\/eNF6P+q5nW0Hhd8l0+p8V4mfNc0\/6Tw907zH+pRy4uyT4Lmno+C7zXWK6Zdsuws6dY0fiYQfKDovM8JNguHTtPEifD5dS10Uj54sx3Z4alzrs6GOZ4QrR7Uw965h7FY5dkYqtMp8hYPz0VDT4g1guTbk6b81gsU46znPmu9Sk2kcCarCpBBPZ8T8xpqqO5hmaN4GYXjlAteN26+mYam+dk2AYTi1Gyr6xoG1DPpNZG2OwjqWAZy0X0jeC2RvQ8DeCt6fFsijEmrmniFzcPg5JpTFoxw4Ov9PutVQrcbj5SfNd6lnUtQ14zAgt6N56LHd410wdl+F\/eNHrzMsfKDouX+H3B5+DVktEczodJqaQ\/daZ5PFPvyvbZ0bvwozyWWLDY6PEEtbYI11rUeSzYrZ8uFAc+iCasXoeF+qyqmsDQdzWjU\/1PKtW7Gmc58jvUocGo5cSnhoIReSplDATq1rR2z5X\/AO7jYHvPQ3TWy6qw\/ZPhkbGRGkppjHGxhllbmllLWgGSR3K9xFz0lTiMbHhwM1knWh3d\/wAUwuClxROSgG6Wb39wruXLP0aZ0+Q+pAxlnOfIfUuqjs0woEM6yoc7muc1uQZi1haHOAvcgF7ATyZxzp\/Yvwv7xovR\/wBVq9cw9zvkt3qTEeJnzXKn0bYOfyFL9HGc5813qXVXYvwv7xovR\/1R2L8L+8aL0f8AVR1vD4XfJT1NifEz5rlb6Os5z5HepH0cZznyH1LqnsX4X940Xo\/6rwO33gPQ0mHS1MFLTU87ZqVrZYm5XgPqI2uAPMWkjxq8O0oZHhgDtTXDisc+zMRFG6QlpDQTx4KkX40zp8h9SwJsQB5\/IV0nsn2f4fUYfSVEtJSzTy0zHySvZd73Em7nG+pXqOxfhf3jRej\/AKqX7WijcW07Q1w4IzZGIkaH5m6gHjxXI8cwcBy2Fioppmt8PMoMUcI5pWABrRUTta0bg1krg0DoAsF6XYxQRVeJ0tPMxk9PK+pEkUgux4ZRVMjcw5bPY0+FoXSfKG2T\/aL+VrmszODQKtzg3y1NLy00oPJe3iWK8nXTTkXaXYvwv7xovR\/1VXdUpwOo6GjhmpqenpZX4lFE58TcrnRmkrXlhPc5o2H9ELQg2pFK8MAdZ9Fv4nZmIhjMhLSG+q57Y\/W63lDUgDNu8K81E7MSBuBNz3Nirr2U7Epa5jauqdJRUTwHRRNA67qGHUP7cFtPEd4LgXOHxQCHHcfOyJud5ofX0WoyJ8rskYs\/IepXgzjbW858A9dlD\/pCOnyt9a62wDZnhtIAI6Olc5u6WoYKqa\/K4S1GYtP4tgt\/JgVO4ZTBSuadC0wwltuaxauW7bMQOjCfUgfuuo3Yk5Gr2jyAJ+dhcUtxME83hW4o6kELo\/hPsewyrB+p2UUliGzUFqYtvy8UwcU\/9Jh8S5\/2kbO6rBXcYT11QPcGsqmAtDXHdHUR3PESHkIJa7nuco3MPj4cR2Roe48fQrSxOBnwwzPALe9vD1CillDRncQ1oFzfkCwhwgiHKfNf6lpsVxMSMy89jbl01XTGzLZ7h09BRzyUdJLNNQ00ksj2Xc9742lznG+pJVZ8QyJmZ4O+tEggknkyRkaC7N\/oqCZwgiPKR4Wut+pZlROC24PMQQd9\/BvXQmP7IcNnhfAymgpJJGER1MDbSwvGrHjXthcC7TvFxyrl7hDh0+GzPoKgFskB0tcsfGblk0Lj8KF41B3jUGxBAjDYmOe8lgjge7vCtisNNhiOdoh24i6B7jamrMRDNC43PJcn9SxjjAOt3eAXA+RbPZJSR1mJ0sEzGTwSyTNkikF2PDaWoe0OHMHNafEuoOxfhf3jRej\/AKqcTjo4CA4E2L0pRhMFNiQ4sLQGmtb8u71XJYxJp0\/WD+uyWXnHh5\/17wrd6pfghR0NLTy01PBSySV3FvfC3K5zOt53ZSeUZmtPiVLYZNcW5vn\/ACWSOdsrA9t0b3+SxSQvikdG+iRW7zRMb3Ogub2GgGvIOZQPWW+PQnmNvD\/VYrllVVcSahC1QtpIUIQrKCo3rIwFgdPA06tdVUzSOcOmYCPIVA9T8H\/sin\/LKX9\/Gjh2T6I38QXsuqvqXNoYYwSGTYjG2UD47WQVErWnnGdjHeFgVe9TNwXgrameadrJxQxQuhgkAdG6Sd8g417DpJkEWgNxeUG1w0j3nVbfYVN+cm\/wlWuf+B\/CWfDZhV07+LlDSxwcM8csbiC6KVh+EwlrTyEEAggi6rgInSYAtYaJvX4\/qNFi2pMyLaYfIMzW1p8P0Oq6e258DqWegqKgxQxVFFTS1MFRGxscgMLS\/iS5oGeN4BZlNxdwI1AI5JXu+He1euxSLrWU08FOS10kVIySMTFpDmiV0sj3FocAcoIFwL3sF4MlbezcPLBFlkN6+tLS2tiocTMHxCtNTVWUFIhIt4lc8NQttwMxh9HVU9YwkPgqYnG3x4y4MmiP4L4nSMPQ9aglSUZ7dn95H+2FikALSDxWxHbXAjgV2Ttfpg6nZJ8aOoaAfwXseHDyhh\/RVZT2AHPYfq3lWptZNqX\/AIiL9T1Ukkg5x8i4my7MPxK9NtWhN8AoXvBWFOp5n8qxp5BzrqgLkkrBnKxy9SVJWOAoIUgoqx2tytPs\/P11ovzhS\/vQttWvGW27mK0+zs\/XSi5frjS\/vWrA7j\/i76Kx\/t\/yb9Qu0louHnCiPC6d1fK2aSKN8TCynEbpSZZGxtsJXsba7hftlvVXXVGUck2GSxxslnkM9IRHCx8shDamMuIZGCSAATu5F5TDMa+VrXbiQCvYYuR0cL3M3gEj1parC9v+HSvEbm4hStcQOOqIoTE25td3W88jgOnLYK2I3hwDgQ5rgC1wIIIIuCCN4I5VwngezbEJZyWU2KvdMS0RzQTw0zMxBu6SZrWRgW3uI3ldt8E8NNLTU9G5wkfS0dNTOeL2e6CFkTni+tiWk6863toYaKIDJoTelg6cD5LnbKxk85cJBYAGtEa8R5rWbT+DLcSop6MgGQxukpnEax1UTS6B4O8dt2ptva9w5VzDsK4b\/Qyra57stDWhkNZc9rGCTxFUf7tznXPcSSbzZdf1lQ2NrpXENZGx0j3HcGMaXOPiAK+deJ1Zjkid8Ti3CVo3ZHltjbnaWk+Ucq2dluDoJGSfhsfPj8KB+C1Nstc3ERSRfjp3xqtPjZHxX0ZBVbdUDwJ+iVIZY25q6gzzU4aO2ljsOPphzlzWhzR3cbRoCVrOpp4b9e030Pkdmq8PY0McTd09Fo2GT8Ix6Rk83Fkm71bi5pD8JP5tPv8A7ELrtMeOw\/k8ex\/cFUt1L3AnreA4vI209cwNpQR\/ZUNw4PHMZnBrvxGR2tchXQ9wAubAAEknQADUkk7ghotoNANABoABuAVOdU7w361pxhcbrVNfG41BB1hoblr78xlIdGPwWy7jZW7eNxHm4+w\/2Cp\/L2fhvJo9yf3K8nDtmibi02IyNqZsPjopsPoI6Zsbn5TUU0rqlzZpWACUwOde98vFAjtSV63\/AFiaD73xb0VD76uQ5w6VxeDIB8FrWFze1G69jvNyfGlpIHtlZd0hbd1wXvIPaO3gmx1XXOHw73AZDWjQb+f6rhNxWLjYXZxxcRXHfX6L6DcDOEMeI00dfE2WOGoDyxk4Y2UcXK+I5xG9zR20ZOjjoR4FuF4LqfPtTR\/i1P8AG1K96uDiGBkjmjcCR7Femw0hkhY87y0E\/EKpMU2+0MEslO6DFHPp5pYHuZHRlhfDI6NxaXVYJaS02uAbcgXidr22CkxSikoIocQilkkp3tfUMpWxARTMkcCYql7r2abdrv5lR+1mNzquoDXPZ9c8Qvkc5t\/qmXflOq85g9O9srSXyubZ9w573NPaO5CbL0EeEgjlbTTYym746cF5eXG4maF9uFEOFVw1G9d57EvtXQ\/kjP1uXsV47Yl9q6H8kZ+ty9iuBifzX\/5H6r0+E\/JZ\/iPouBuEjCZ5rclVVctt8zvUvY9Tu22LUQPfKz\/t9Wup5OAuHOJcaDCnOcS5znUVIXOcTckkxaknlU2G8EKGB7Z4qPDqeeO\/FzQUtNFKzM0sdkkjjDm3a5wNjucRyrrSbVic11NNuaRvFbqXDi2LM1zbc2muDtxvQ2t2qc6rf7Ap\/wA7Q\/wVerjVOdVv9gU\/52h\/gq9c\/Z39Qz1XU2r\/AEsnoqs6mvgG2uqXTytElHQFs0jXC7aiqlc50ETgdHRtDXPcPwIwQQ8rrZVV1LVCI8MEo+FVVlTK88t43NpmjwZYBp0nnVqq+05i+cjg3QfDf81i2PAI8M13F\/aJ9d3sFoOG\/DCmwuMVFTJxYeS2KJozzTuAuWxRjV1ri5Nmi4uRcKuKXqh6Jzw10GIRRE240tp35R3T42TE2\/FzHoKpTqneEMk2IVABNqeSOgphyRNYwOlIG7M6Tjjfpb3IVOPp3xnjA+QPGuYlzrnmdc9sOcFbkeBiawZwXEizRqr+pWjLtGd8juaIa1pIFi7I333D0X0nwTFYquJlVBIyenmbmjljN2uFyCDfVrgQQWmxBBBAIKfiuHx1Eb6aVjZYJmOjljfq17HCxB5vCNRvC556jvhA5z56Ek8VNTR4hHGTpHIx0cM5b+MJoAf7odN+kFzcXBzEpaD5g+R1C6+CxPSYQ8iibBHmND8Fw9tI4KuwysloiXObC7NBI7fLTStzQvOmrwO1JGmaN6632Qfayg\/N1J+6aqb6ryiDZ6KosM81PVQuPKW00kD2A+A1UnlKuTZB9rKD83Un7pq6ePl53CRvO8nX1Gn6Lj7Mh5nHSxjc0aehIIHzXql4PbNs+Zi8Ha5Y8Qpw51JOdAeV1PMR9xfbf8V1nC+rXe8QuNFK6Nwe00Qu\/PCyZhY8WCuO9iNC6DGaWB7XQyxVVUyWJ4s6ORtJUhzSPCOTTm0XYi8bj\/AOOavpcbZliqqR7m1NhpVQOp5YWZrfdozI2zuVt2m9mZfZLb2him4hzXDTs0R3GytHZeDdhWvY43brB7xQ+apXqufsOl\/OI\/halc4YM6w8Z8vqXR\/Vc\/YdL+cR\/C1K5pwY+PU7\/CuvgP6dnq76ri7Q\/q3+jfotk5ROCyJNdefXTdqoy1dClpK2iUiEi0wtpC9zwO2fvqAJ5i6CBwBYxtuOkadQ7thaJp6QSeYaEwbLODoqZTUPF6emI7Ui7ZZt7WHna0WcR0tGoJWFt+2qPpnuwqjdxc4aOvKtls8OcXFPAfizFpBc\/wCKHADtrlmu98ksnMw7+J7gtloigi5+fdwHeV7ytpMIw+zZzh0LyLhtbLG+R3SGVDifILLGj4TYE0h4lwNrmuDmuApQ5rmm7XNIbcOBAN+hchzSFxLyS97yXPe4lz3OJuXOcdXOJ5SmLbGxBXakcT9+q5x5RuB7ETQPv0XWfDjGsExSNlPU1tG+KKUTsEdWIiJAx8YJcx1yMsjtOleR\/wBFOC\/31B\/zB\/8AnXPSQrIzZZjGVkrwPIrFJtgSuzPhYT3kWuhf9E+C\/wB9Qf8AMX\/50f6KcF\/vqD\/mMn+dc8pFJwL\/APqv90G0Y\/8AoR+y9TtToqOGrMVA9s1CIYXNeyU1DeNIdxg4wk6izdOReVJQSkJW4wZWgE3XE7ytJ5DnFwAF8BuHokJUlGe3Z\/eR\/thREqSi+Gz+8j\/bChx0UtGq70xPEY4rCQ2zXLe1c6+W19wNt4WD9H6bnHon\/wCRa3aBvi8Ev6415Yr818o+XOP2ftCTDRNjLWZasOvVoOtOHE9y+zYPZcU0Qe4mzfd3nyXsK7AaKuae0hLj90hAinbzEloBPgeCOhU9tE4JSYe4OJ42mkJEU4FrO38VKPiSW3cjgCRuIHs4J3MIe0lj2m4cN49Y6F7WHi8Sp3wygFsjTFMwfFdoWyR3+CQbOaeQjoXr+RP8QTj5OYmGV4F1dhw4lt6gjus6a33cXbfJ5obnZ7+fn3g9\/wBnl+eTwpsc11Nwiw59LNLSP\/tKeR0bjuDgNWPA7lzS1w6HBYDDyr7BmBFjivBZS3Q8EuJzdqVgbMHXxOiP\/uVL+8an4jcjQE35kzZfGW4nRA6H6JUp\/wCo1a7jv\/xd9Fcj8P8Ak36rthCF43bNwlmw2hkroOKM8ctOxvHNL47SzMjddrXNJNnHlXkoozI8MG8ml7OaURML3bmgk\/BeyQuSZuqPrwSwuw1rmmxAp5i5p9OdV5jhHtgr64GJ9VOYn6GGma2jjIOha50bWvew8znOC6A2W4HtPaPjZ9guUdtMI7DHn4UPcq6uqM2nRMhkwene2SeYGKumYQ6Ong+60+YaOmeLscNcrS4GxIty\/PBxl5OfRvQ0bvX41sqXCpJrXs1otaMfB8Z5StnU4a6NurTbntceULrQRMDebZu3kneT+3cuPNLI95lk31QA3Ad3r3rC2XcKpMNqWVLLl9G\/MWXsJ6V\/aywPPMWkgE7jkI1au96WYPa2QXyvY14vvs4BwvblsV88oGjO9w5Yz+sL6C4J\/Yxf3EP7tq0drNGVh46j4CqXQ2I455G8Oya8zd\/RPxSsEEclQ65ZBFJM8NsXFsTC9waCdTZpXBm0ThLLiNTJUyf2tW\/jXtBJbFAO1hgYbfBa1obflyEnVxXcnDf7Dq\/yCs\/h5FwUWXkB\/wB039p6jZbRzb3cdB8Ddq213EzRsO6nGvMVXss\/D6MAA+BQVrAJG+E\/suW1j3LXYiO3YfD+yV2WgCvULkyk5Xeh+i7E6nz7U0f4tT\/G1K96vBdT59qaP8Wp\/jale9XlMX+e\/wDyP1Xq8D\/Tx\/4t+gXBe0H7MqfzliH8VKtM22dv6X7JW32jH6sqfzliH8VKtJEfpjf0v2SvWf3j\/wAf0Xjwf5Lv\/L6ldwbEvtXQ\/kjP1uXsV47Yl9q6H8kZ+ty9ivJYn81\/+R+q9lhPyGf4j6Kqqrb1hzHOjLa\/NG98brQMIzMcWuseN1FwVseCW2Khr6iOgiFYJ6gyCMyxNZHeOKSZ2ZwkNu1jdyb7Lizam54mdkfLH9VVubi3vZm+nC2bIRe2vlXvepTLjiNDmc+R3HV13Pc57vsGst2ziSuxJgIBnADra0m703X3LgRbTxLsjiW054bVG99d67aVOdVv9gU\/52h\/gq9XGqc6rb7Ap\/ztD\/BV65uzv6hnquvtX+lk9Fk9StiQkw51P8ekrJ2EcuSbLUMdbmJkkHhjKtpcY9TvtFbh9U50hLaSocaSuAueKMcjut6vKNXBt3Xt8WWSwJaAuy4JQ8B7S17HtD2PYQ5r2uF2ua4aOaQQQRzrJtOHLMXj8L9Qfr7FYdjzh8AjP4maEfQ+hC5F6pjgq+nr5JyD1vXubVU8lu141sbWVERPfA4Odbmmb0qp5YHO7XKRcm5OjR09IX0Fx\/BYKyM01RFFUwOsTHK3MA4Xs5p3seLmzmkEX0K8TSbE8KY8SdbvfY3EctRVSRC24FjpO3HQ64PLdbkG04ubAkBsCtK1A3b1pz7JmEhMJbTiTrdgnfu3rwfUicGHRibE3NLYXRMoaRx040MeH1L287A+OFtxoXNePiroJR00DY2tjY1sccbWsYxjQxjGNFmtY1os1oAAAC1\/CnHoaCB9ZO4Rwwtudxc9x+BFG0nt5XHQN5yuXiZnYiUuA36AfIBdbCYduFhDCd1kn5kqgOq5xEPqaSlGrqalnmf0ddysa0HptSE26Rzq6dkH2soPzdSfumrjXhvwsfiFc+ofpLVOfK5gOZsELGBkEIPLZrWi\/LkJ+MuytkH2soPzdSfumrqbQj5vCxx8Wmj61Z+q4+y5eexsknBwsel0PovS1jiGOI0IY8g8xDTYrwexLaK3F6cB+WPEadjBVwjQPBFm1MI7087x8R1xuyl3u674D\/7t\/wCyVwZwW4VSYdUwTQu4qpa3PGTrHKBYSU8rQRmY9ulvIQ4NK1cDhGzxvB0Iy0fM3p8VubSxz8NNGQLaQ7MPIVr8F3yheb2dcMIcVp21kXau+BUQEgvp5wAXxO5xqC11hmaQdNw9Iuc9hY4tcKIXVjka9oc02DuVK9Vz9h0v5xH8LUrmnB\/5n9a6W6rn7DpfziP4WpXNWC\/zP616TAf07PVy8rtH+qk9G\/RbUpCFJZIWrorRVplp6UhaelQceUOlJ7XlOg8J0C0Q5buRXThVQ3DMLNW4XMFFLWvadC+R7DMyM\/hElkfiC47rKp0rnTPcZJppHyyyHe+WRxfI89Jc4nxrqvqkqjisJljGglmo4BbuWzslI8FobeNcnLLsNtsfKd7nfT\/lanKN9SMhG5rfrp+iEISFdolefa1BKRCRYyVma1CQlBKS6oSsoCQlISgpFQlZAELLwKmMs8ELdXTVVNC0c7pZmRtHlcFhPdbXcOlXv1OGzGUzMxmqY+CGAF9DBK0tlmmcC1tS6N2rIWtJLbi7nFrhYNBdq4rENhYXH4eZW5hMM6aQNb8fIK49oJ1i\/Fl\/Wz1FeVK2\/C6tEsptqyMcWCNxIJLiPGSP0VpiV+OeVmKZidqzyMNjNV9+UBv1C+47PjLIGg9311QSt7wHq8k3F\/FmaW2\/CaC9p8gcP0loCVl4G+00RG\/j4h4nPa0\/IStXYOKdhtoQyt4Pb7E0R8QSFmxUYfC5p7ivJdUbh7YqqKp+CKumINhq6WlcGudfn4uWAfoqtBUNHJe3dblb\/VXN+k0bvjCqmZf8F0N3D\/4N8iolpX7BwMpMLb4aL4\/j4QJ3eeq2dXXG2haBzNFufddangZiraeup6uUkRU1bBNIWguc2ON4cbNGrjoVK8XC02J0BOozA84JB+RbBdRsjSiPdabo7Gh1BBHwNrqfs74X3dV\/hpvUvF7atqlDiNBJRQOndPJLTPaHwSRttFOyR93OFh2rSucpcNl5JJR+kVPR4bJ8Z8h6C4rTiw0Ebw4NdYN7x+y25sVipYyxxZThR0PH4plLhIe9z7fCeTdbqmwcDkWbh9PlFlmgrbbGLs8VrFxAocEyiYY92nRyeRbIYjpYjxjT5CsBxTHuWfIFjLlpMZka5xy2BLXXFsp8fOun8N25YYyONhfVZmRRsdamlOrWAHW3OFy1jdLc3Fwd9xob84I3Lz1RSzckko8DitTERRyNDZATV1RHH1WeB8sLy+It7QF5gTu7qI7119wm22YbNTzwMfUmSalqIowaeUAvkhexoJI0FyNVysG9uDr8Bo8YLr6+MLV01PMDrJIfC4r1GCVGQZXgOBB6dekHekEccbS2MHUgmyOHoomklleHyFpyggZQRv8AVZELNLnyHVavEndu3dq4jytdb5V6qWBjtW6aaZNSb87DqCvOcIsONr\/CaBrYEFvS4HcOlbZ0o9yxaOBaeIpdAbJdrdBQUFPRTPqGzwNmEgZBI9oz1M0rbPaLHtXtXquzvhfd1X+Gm9S4xlppeSSUfpOSwUkvLJN5xXOkwcD3lxDrJveOPwW5FjMVGwMBZTQBuPD4rfcOaps1TLOy5ZPW1k8dxlcY5Z3vYS07jlcNFqYDaRt9PhDxlrrLIio+UkudzuJJ+VQVdPcc3g3+JdK9cwG6vktAR0zITvv5rqLZptgw+joaajlfUCenp2xyhsEr2hwJvZwFnDXevRdnfC+7qv8ADTepcTzNl3CSYc1nOUTGT99mP6RXNfgoHOJIdqb3j9lvx43FMYGgsoCtx4fFb\/ho9sspeNWvmqZW30OSSTM0kcmn6l6jYTjcVBWU1bMXNgppaoyljTI4cbS1ETLMbqe2lZ4ivC00JOri5zjyuJJ8pSzU7hq1zmE7y0kX8Nt63XakkjRwrzqqWm1hDGtBFtId5WDfsuz+zvhfd1X+Gm9Srvb7tJo8UpYqamdM6WKvjqHiSF8TRE2mq4iQ5+hOaZmnSeZc0Pin77N5xUkMEp0dJK4HeC51j0HXULTgw0Ebw9odY7yP2W3iMRiZoyx7mUd9A39VLTMLXGVm8ucSOR7S4mx6FbGyfbLUYaBTaVVID9g1Dix8V9XdaTWORpOuWzm7+1aSSq9pqWwAUdThofoRqtjJ2crhmaeB\/TuWAinB7HFrhxH6jiF2DgG3PDJwOMknoZDoWVMMhAPLaWnD2ZelxHgG5b2TanhYGbr6ktzNc5zvNa0k+RcMOoZmfBkkA5jZ4HgDwbBNAqTpmt08XHf5WrTOzsOT\/ePLQrabtPFAV2D56hdecJ9v9DCCKZtRiEtjlOR1LTg\/hyVDRIP0Y3buRc17Udqk+JyAyvEhaSIKeG4o6W+hIFzxkp1u4ku5LtFgvPx4LJJ8Nz3juSSG+YNPkWzpOCzeULYggjj\/ACm0fEdT8OAWrPPLN+c6x4W6D48StFg8BziU3LnB13HeSR\/RdYbPtsmHUlFS0kj6gTU1HBDKG08rmiSOMNcA4Czhcb1zxPglhYX03LUVGFy8j5PE4q00MbmZHgnW9D+6iGaWOTnIyBYrUH9F1vVbdMLc1zQ+qu5jgPqabeQQORca4\/SZyzumM5N4N9CDz6LZQYZLyvkPhcVlxUNt9yeUnU+NVggjaxzWA9qrsjh6KZ55ZHtfKW9m6oEb++yt1sc2gTYXUCcXfoI6ynvZtXTg\/CHI2dhJLXchJ+K9wPS428YX3dUP+Gl\/kFyDiGHX7YXa4bi0kEeAjctbJSzd8m84qJ4I5aMoJI0sEa+qnDYiWAEQkZTrTgTR8qK6H2\/7RqPFaeCCmdM6SGs454kifEBHxE0dw5+85nt0VN4KNPGfWtNSUkh0c+Rw5QXGx8XKvQ0MeUW8C2IGNa0MYCAL3+awSue97pHkEmt27T1WfdKmAp7CtpYFYRT4PhN\/HZ+0FGmvfbXlGo8I1C5y6Ss7qqPtaPy+m\/YmXLK6w6pSDjcJklGoimo5xbuXTxxX8Fprrk4lbGwz\/pyP+4\/QLQ5RN\/1YP\/aPqUFIhIuqSuMGrdcC+C9Ric4o6dodIRme95LYYIgQDLM8A5WAkCwBJJsAV0FgOwTD6dgdVyT1klhnJkNHTg\/7tkJDx+lI7xLYdT7gjMPwxta4Dj8QHXcrvjOjcS2jiDrfB4stdbkdM\/nWxrqt0rs7jc8g+K0czRyBfKeWvLzqp\/MxC3ncLrQGsxO+rugN9HUL6DsDk3HNGJJRd6661fCvTfa1UmzLARp1u8\/i1OKEeXj9Uzsa4D97y\/4jFPbrPcVG4r5Y\/wDiltm9Cz\/3\/wDterHJnA+Aezf2WH2NsB+95P8AEYp7dJ2NsA+95P8AEYp7dZRKaVg\/\/Vdtd7P\/AH\/+1ccmMB4B7N\/ZbLAMBweiIlgpYWys1ZK6J88zTzsmqS5zD0ghZ+NcKHSAsjBjaRYvJHGEHkFtGeG5PgXnCmkrmbS5fbWxsZY54aDoS0EEj1JJHwIW\/htjYaA9lv7ewAQSmkoJSErxgXWAQSsjBj9Oh\/KIP3rVikrLwFhdNEBv4+J3iY8OPyAre2a0nFRAeNv1CrNpG70P0Wt6qofSKX8rk\/cOVCRq+eqplHFUkfxnVE8gHO2OJrXHyys8qoloX7E2f+SPj9V8f2h+cfh9FJG2\/wA9E4xhIAnreXPJURp2pWwgJ4SEqwCi07KEwhBKTOrBUSPamFnSR4v6pzlFI5XChRVMLTvJ06Bu8qxutYz8fytt8uZe32OYBDiNYaOcOdCaSol7V7oyHsdEGuzMINhnOizuDGG4Lisv0Ip2YnS1cjJRRYnPI2RlVJBG6S81MDlY17GPflDWXa0i7HWC1pMQ1riCCa1PktqPDucAQRroPM\/ZVbOo7bix\/wCKdfI6yWCMjUtcANLkG3lXseAOEU7myxzYbjeL1sFVNTzigc9tFAIsrbGaEB3Hlxk7RxIIaDpey2nDjgdDR1uFsYKuKixqWjvR1RLKqlz1NNFUU8jhqCG1DRvJBDtToUGIYH5f21rX7tDhnlmb7F\/fBV7xynhr9wdqOR29zd45d41Oh517fafh+E0lScLjZiLqmOtpRVTse0tjp5Q10lLSteTxtQI5GEOe13b6X3gejwLZ9SYjxlKzDcfwaXiJJKXEa8yGJ8jLBrKiJ5LWF175W7w11nNNrwcYwNDiCAfTd7qRg3FxaCCR6\/sq1wfguayURxFga4F8j3aiJgtd1t7tSAG87huGo9edlcbRc1DgALucYmNaAN5JMmg8K0+wupzSyHXKaUOA5NZYz\/Neo4XxdeV0GGPLhRimdWzRtJb1w8PkYyNxbrlaYwf0nbjYj5Vyo5Q7Ubtt2Cw8\/MQwxGR5DGvdla3O4gOGrtzWiwOJO8r02zMDhegCeSPnHveGNBcWiyaGo3DiTRPd3LQUmz6lnOSOvimeNSyHiJHAc+VkxNlDTbOqeWaSkbVyGopg0zM63tlDwCLOLrO+E3ceVWDJwPpCWOEEUT4ZGSRvgHEPzMNxmdFYvHQbrX02PllTiAfl4iggp5hkY0SlvW\/GvDnb5DvAB3XXmYeWO08W2U4LEyvLI81PZA0hxkjYKysfnBz7uxR\/uNa9KTY2GgLOkxMbmfVtMhBAY9x3luWsu\/tX3C9PNHY5H98yehZ7RHYcj++ZPQs9op28L53RGt66wiN2V0jcMc5hkMY1EbpTIHioLRusNSN24bTH+FMxbQvphHfEi8cXOLtDi2LKHvbqGsc9xJbvDTZbMmL5YMlZGcU3tF7ScrA1rmMdI5ri6If2tNObmYaNP0KxNGxHMLxE7QNNWSSHODQQA88SLBpwv8K0nYcZ98yehZ7RPGx9n3zJ6FntFvIsUq6Wqgpah9PUw1\/GtZJFGYnwyRNDiLXsWdswa6nMTplsXHFaqsnngpnQUtPRScRJPKwzSS1AvnYxlwGsaQQeXcdb2Gmdt8qAc3TY+ayc5ztM5vLnMf8A0s2bOMuXJd61WqzjC7J3cw7PmyZNc15c3jy1lN3mrzvReRx\/ZxTUkfHzVckcWdrMwp8\/bOuQMrHE7muPiWd2Ho\/vmT0LPaLecJ8Uqqej42YUvXLaqOO8YMsMkRfZshjkHaPNr21tYHS+UbHhfWyxvaG1WH4fA5l89UA6d8ocbhjZHhpjy5dd9yVccoeUD2RNZi25nvmbnpj2O5sRnstZCXf3bxmzeFuXUcFs5rnl0JprWHLq1wz5t5dIBw8q7za8sNkbPvmT0LfaJztkrDp1zIOniW+0Xotn\/CF9Vx8MjoJZaORjePpjeCeOXPxcjdTr9Lfe3RoFLwzxuWF0FJA2N1XXSPZG6a\/FRMiDXSyODdXEBwsOg77WOk\/lFyrbtE7OdiQJBqTljDQ3Jzmcks0bk7WouuF6LO3A7IOFGKEZynSrdd5smWs2\/N2e6+Nary1Ts\/gp+LZJVOaZ5WwxZof7SV+jWDK42J6dFmjZhH35\/om\/51icLY6tk1AyofBURHFKR0c0UZhe2QStBiey5aWlriQRr2jr8i2eOcKXuqZKKOeiw+OlazjKiryOfLLI0PDII3vaC1oNnHeD4Rftv2lyjkihdhsaJM7JHveGsMYa14YKAhz2SQKyl18K1XNEOzGvkEsBblc1rWkkOJc0uN9vLuBN5gK42mx7OWD7s70Tf86ZWcD4YLGSqZCHGzTMIog4gXIaXyC5strwG4RuqTNTvdTyzUj2fT6V2anqIpQSx7LE2cMpDhewPjAwdp0LXyYfG4Nex+JRsexwBa5riwOa4HeCCRZc7CcoeUQ2qNn4vFFmjnEtZEbaIzI0ttg\/EAN9VeoBFLanwGzDgjioIg7UAAucNc4YQaPA3u7tFjUnBWnmOWOrimd3MRhkPkZIVkHZ2zvzvRt\/zLK4T8DKV0L3siipZ4Y3ywzwDiXRyRtL2uJjtdtxy+EWIBEGH43PLQ09UJqOke+7KmordBaN0kWeMZmtMjnRg2Olnm26yu7lLtfFQsnwWNdlMgicJYowWuLXOaQWNfmDg1w0GYEVRsKBs3BwyOixOHFhmcFj3EEAhpHaLaIJG80QbsUo+x0zvzvRt\/zLFdsvb3+TX\/dN\/wA6yeDfCOaSd+HmejrC6kdPT1tMBlbIDkyTRscWkg9tYEGwG\/Nph7M4JxLVu42ERMxOpFW3iiHTSjMHSRvzfSmZrHLru3rPLtPlLh4p3zY5rDExj2jmx\/Ma80K\/lAt1BADmg5tCGjtLEyDZU0kbY8OXB7nNJzHslos326PfoardZ0QdlbPviT0Tf86Z2J2ffD\/Qt\/zrYYTiddXtdVwPpKWmzvZSxTRulfO2MluaZ4P0sFwPwRcWIsbXdDV8OJOs21IZHDUCtFBVGQPfBSPGr5iGds5lslhc2L7XdYZqdYcrnSCFmLY54e2N7QI7je66D\/5fkR2C\/UZfxEAzzWxQznHQuDS0uaTmp7RVlva8we1l0N7rKxTspZyVDweS8LSL9IEguvDY7hb6SV1M+2ZliHN+C9jtWvbfkI5OQgjkVucEayWRziauhr4Qw363Y1k0chc3LmDJCAzLm+EL7l4DbG76sH5JD+8nXoORfKLa0m2HYDHTNmHNl2jMuUiu9kbtx1Dm+i0NubNwbcCMTh2FhzV+K7Gvc5w9ivKh6ex6wuMSiVfY7XiVaRTwLjnUN0obdc8LoFXhQUwxTCTS3Gaegko8x+LNGx0LJD0h7GPXHEsbmEscCyRjnMkY7RzHsJa9jhyODgR4l0tsV4RcRK6hkIEVS4OhJOjamwGXoEjQB+Mxo+MvM9UbszkbI\/GaZjpIZu3r4Y2lz4ZfjVTWN1dC8WL7C7XAuNw5xZTATDDzOidoHaj7+93mp2phziYGzM1LNHenf99\/kqMTXFKHeNNeV3SV5wBdl0na4bQMGjes6Bthuyto22HyDyLVkrZxn63UH5JRfwYWpcV+Sv4hvPW774Bv0X3HYzf9K1DioyUEppK8A51rsgITSUFNJUBXAQSkJQU0lWCsAgppKCU0lWAVwEL0ez+jzymb4sLSAf8AePBaLfo5\/KFqMKwySoOVgNr9tIdGM8LufoGq9XwjxeHBaQzOs4tu2Jl7Pqqp4Jawc17XJ1ytYTyL6DyF5OTYvFsxT2kRxmxf9zuAHfR1J8qXH2zj2QxFl6nf5DjapjqksXE1cylBu2hpmtd0T1BErx6MU\/yqtWBTV1U+eR9RIc808j5ZXc75HFziBfRtzoOQWCYv0zDHzbA3uXyieXnHl3ekJQXJXBNCyhYEZ00vS\/P+iYVdQguUL5FIUxzbqwUJBMo5pFHJT8xt8oUErXDmPgVlW1ZPUzP+uh6MPqzbwPp1g8HeG+D0DzitHR4n9E3RvNLTVklOcOoJJmFjzC+J3Gvjyve0ZgSWkjtL3Fd02ISwO4yKWemlylnGU8skEmV1szM8Tg7KbC4vY2WCxttORaj8MHvJJ0IArduvetxmJysAA3Em69N339FZOBcPaaSgbhVY7GqeSGtqK4VmDPpmSVbqh80sjapszmjNnnfawI+lsNxaxbw32iU1VNg8sMWIRwYFLCZ21JhlnlihqaGUcVKJjx8xZSvuZMl3OHISRXuUJOKVhhWB2b1+e9VOKcW5fT5bl6zFOHLDjJ4QRxSPg68iqW01RkZKWMgjhc13Fue1knauc0guAIaehe9wDathtLWSYmBwmqn1Tp3ugqpKN8FH1w7O5tPEKgcYAQGNDnWYzdchUvxAQKdQ\/CMcKN7q+CNxb2mx33u4r2OxiobTVHFyOaGz0\/ExSk2Y6Vro3NjN\/guIa6wO8gDlVp8K+DhqTFUxSGlraUuME+XM3K4WdHI34zCL89sztDchUJA\/KMu9p+E06g+JSzBwGZj3lg+LndmZ0Wvq3pC8Rt7kRLjtpDaWGxHMvy5XAxiRrhRaQQSAWuacrmkEFdbA7cZDhThZYs7bsEOLSNbBsCwQdQQQQrspaPE5HMEs1BTxRva95o45ZJZmtNzG7rgWa1w5RbwKal4NONRXTScW6mxGKCEMYX8aGsg4mXPdgDb62IJ8SoRtW7u5PPd60lXUvcM2eTM3f27rlvl1IXKd\/DvGdrmsTFEHNyER4cM0ztkuw+7zMbqSaGgoFbI5RQaZ4nvyuzdqUu\/tcyqLaqnHQAXvKuek4N10DRSxvwt9O0FsdTUQSGsjZc2GQAxvc0bs1721W5xzAZJZaKZphDKGWR8wIdHmD2xj6SxrXAatcbFwtcalc4Guf3cnnv8AWlZXycj5fPf61nm5AbQlmExxcYeA+yMOBmMjSxxdUm+iaqgCSQLJWOPlBho2GMQvLezQMhNZCHNAtu6wPMjS10hwjwSSeoo6hpjEdFLO+UPLw9wkbGGiMNYQ49ob3I5Fg1WAVVPNLU0b6XLWOEk9NWtl4ts2uaWJ0Ot3XJINt536AUfSzyv3yS+e\/wBa2cLXW1fKT0yP9awYb+HGNgjZF0tjo2sMeR0GZrml5l7QMmpDzYIojgVaXlLh5XufzLg4uDswkoghoZocu4tFEagq28d4OVVTSdbSSwzVTqhk5e5phhYwOzcUzi2FzgOQuFzfoUmOcH5+uvohD1nKXU4p3w1wkysAdmD4XxtcQecW5Xb76UVWzuYbZ5Lcnbu0+VOwwuldq+QNaLu7d+t9w36f0WWLkBj4tG4uPL\/M7Iw4DalyZxTXih2G1VVW\/UpJt\/DPFmJ19jXnCTbM2U2Wmz2jd3avbgXwfmppaqeV1PIax1O9vENewNMYmztMbh2jRxjQ2znEhtzYrJ4X4A+pMU8TxBWUcjpKeR4LoyHgCSOQD4rsrdbG2umpVOsAGl3ec71qQv6Xec71rVk\/hzjnY\/p\/TGiSg3SAZS0MEeUtz1RYMpFUQSrt5SYduG6LzByWT+Ybsuz3eW7DtQVYlfwdr6mSmnnkoGikrIJuIpxUNjLI5GvkkzyNLnT2YGhps2zjqLlZeMcGp2zvrqU0hfUtYKinro3vhc6MZWysfGMzXW5NBqTrfSl8c7UF4fI13Q91j0WuouDMznOLi+TtQLAvfY33nf0fKt7\/APhdoNLcuKiaxrHMyDDgMLHODyC3nNe0A67zA62sHXmFINxPLi4OzGU5swGUEHL3Eit1aUuhuDVFNG1xnNKZnvzWpIjFFGywAjDndtIAQ43cL9stdw6wOepNPJAadstHUioHXJlDCW2LB9KY4kZgLjTTlVWioPdO85yOuT3TvOcuZB\/DTFw47prMUzPrpzHZotLSMvOVWU189625OVEMmG6M6F2XTXnO1obu8u+1YtbguI1bTTzz0VPTv0m6xZM6WWM\/CjzTgZARpceMEXByOEfBRzhSmn4gHDSeKp6oPdTysc1jfphaC7jBkuHWOriVWXXR7p3nOUVRVkC5c\/Td2zt\/lW8zkHtBj2GLFRxtjLiGMw4awl7SxxcA+3EtJbZNgfhIWsdvYZzXB8L3F1W50pLuycwo5dAHC6AoneCrPwng9UCsbiEpowBSvpzFTCVoZd5cwNzs+m7yS8lpubWsAnYRgVVS1Ero3Uj6GsqnVUwmEwqWGQkyMiyDIdTYZjuHJy0tLVuPxn+c71qJ1U7upPOd60m5AY6XMH4qMtdGIi3mOzla4ubX8z8TSbBu++1DOUOGZRbC6w8vvnNbIo32dxG8e1K5aPg9XUYdT0ktEaNz3vjFW2YzUoeblsRjBbIAdRm5eTUrMouDs1LTCnppIH1BmdPUvrI3ujqnyNIeHBhzMGjNdTaMdKow1bu7k853rSdeO7uTznetJ+QePm\/Hiojbg556M25XNBAMnb7RFk8NTm\/Fqke38NH+GF4oFrf5p7ANWGaabh8BW7RXbwd4MStqev5hQwObC+JsOHMkYyTObmSd0gBc4a6W5G69rrXm1fEmTVbjG4PbFDHA57TdpkY57n5SN4Bky+FpXkpKlx0LnkHQgucQfCCdQoC5dnYnJGXB7Q6diZxK5sfNMa1mRrW3ficTx3njvOlaWN2wybDdHijyAuzuJdmJPsAPvRTOepIhdYzNSsthsvcBcIlWjdObJbRREqSLctKl0LTXP9YsdR4+dWfwH2qBoEFZm7XRtYwF5I5BURtGYu\/DaDflA1JrPTo5FEWjo5VSWFsopyyQzuiNtV1VvBLA8RJnMeHSvccz3wS9bPc46kyimkYS8\/hi6xxsnwM6cRASTYAVtZck6AACp1KpSaMcwWXwXjHXVNu+zaTk\/wDURrAcLI0aSuAHr+6z9Jice1E0k8aH7LoPhXSthghgYMkUJjiibdzssccLmMbmcSTZoAuSSvJkr2XD3+zZ\/fD9h68WSvzH\/EInrd\/+LPovpWyB\/px6lBKaUpTSV4kBdYBehwbEKZkbWyRh8oLszjEx97vcW9sd+llmfRai7030Ma8gU6CIvcGNBc95s1o5Sf1DpXrcHyqxcbGQRxROoBouO3GtBx1J+ZWjJs+MkuLnDjv0XrDi1F3pvoI0gxeiOnFN10\/sI1ravgnM1ue8byBcsYXZrDflu3tj0frWgjOo8I\/WF2MZt7amCe1mJw0TM264hqPf\/jisMWDw8oJY9xr\/ALlYuLso6VnHTijp4swZxkwijZmdfK3M4WubHyLTnhPhA14\/CTbXtX07j4mtuT4lqOqPbfD\/APi6f\/8Adc4RR+RfdcJsHByszGNo18Lf2XhsXtSaF+UG9O8rojhFtnooGltOJK2UAhgYx1PTtcO7klaDl6WNd\/NUdwu4S1GIydcVD8xFxFEwFsMDSQSyKO5yg2F3G7jYXJsLavIhd+DCRw\/hC4s+Mkm\/EdO4JtkhSlNK2qWqkJSXTSUhcrAKCU7MmuKa5yYXKwUEpSUwlI4phKlRaHOUUjkrioZypUKXA8LfWzxUMXF8fUycXEZSWR5srnds5rSQLNO4Fe9f1PmK8jsL8dTUe6ryWxqT68YeP\/WH9xMu2qmTK1z7Xytc6w3nKCbDp0XJx+MkheA2ty6+BwcczCXXof0C5PPU94r3WFf4mo90Xm9oezSuweFtZUmiMMlQ2maKeWWV\/GPjllF2vgYA3LC\/W97205rYb1St9foPjWoB+D\/\/ADVa9UHtmGL0sVB1lXYdJHWx1gfV5Wh7I4KmEta3KCTedpvu7UqIcRiS8BwFcd37qZsNhgwlpN\/fksjg1sXxKsghrojh\/EVcEVRDxlRK2Ti5mB7M7RTkNdYjQE+FeN4Y4RPhk76CpaI54w1\/akujljffJNC8gcZEbOF7DVjgQC0gdhbDjfCMMPPhFAf\/AMaNYO3DZtHjdNxYyRYhTh76CpdezZCBmgmLRc00mVoda+UhrgCW2ONm03CTK\/ddLI\/ZbTHbLurXM+z3Z9WYzHJPSmkyU8ogk64lkidnLGyDKGRPuMrhroncPdn1bgzI56k0uSolMMfW0skrs4Y6Ttg+JthladdVbXUY0csEGI0s7HwVNNi3EzwyaPjkbSQXabaEaghwuHAggkEFM6th9qSi\/OTv4SdZRjXnEc3pV\/osTsAwYfObzf7rnqRweMw0fyjkd4OZy2+zrgbU4xLJT0pphJTxCZ\/XMj4mljniOzTHG+7rndYLy8Uui9jsc2kMwGonrJIZqttVTNpwyF8bCx7ZRIXEv0sQNy6M7nhhLN\/Bc7DsY54D93Fejd1OGLX0dhVuT6pqN3+EXgeH\/BKoweoFDUmAzup46kGme+WPi5ZJY2jM+Nhz5oX6W5tebuXgLwgGI0lPiTWOhZW08dQ2J5DnxiQXDXOboT4Fyj1ZbvrxH+Z6PT\/i8RXOwWOlklyPriuljcBFHFnZfBVpDX5eVe\/2dcAa\/GYX1dKaMQw1LqR\/XE0kT+NZFDMcrWQvBZknj1vvB056tkOmi6t6iE\/W2q\/Pk\/8A27C1vY7EPijzN3rn4DCsmkyu3UqT2q8Aa3B2RS1RpMtTI+KPraWSU5mMzuzh8TLC3hWu2T8HqjFJ30VKYOPZTPq3GokdGziopYIXAOYxxz5qhmlt19dNb56s3A6irgoW08FXVmOrndI2kp56lzGmAAF7YGOLGk6XK8f1IfBuqpcTlknpMQpIjhFUwS1VJVU0bpDW4a5sYknja0vLWPIbe9mOPIVrMxrjhzISM2v3S2n4BoxAjAOXRYXCfZNidDBLXTGg4imZxknFTyvky3De1a6BoJ1HKFXQqHO0uCSQBYaknQAAbySuw+qDflwfEHc1GT\/1GKqupD4EslY7Hpmh7hM+DDmvALWcV2s9WByyF5dE0728VJ3QtSDaTuaMj60NClafZjedEbL1Fm15bgvsPxKraJnsho2O1b1\/I9kpaRvFPEx7mH8GTIVvqrqf6+MZ45cPncPiZp4XeBmaItJ\/GLfCru2pbQqXBIBVVBke6V5jpqaANdPUSAZnZA5wa1jRq57iALgalzWnxOzXqhKPE6hlA+Kow+eodkpnTOjkgmkPwYTKwgxzO+KHNyk9qHZi0O1unYp4L2js+n2Vs9X4RhyE6+v2FQfCHD56GTrapikpZrZg2QCz27s8UjSWTMvpmYSL6LZcAuC1Ri75IqYwZ6djJJOPe6MZXuLW5S1jrm7TzLqfaZwMhxelfRyANkyufS1FrvpqkNPFysO\/LfRzfjNJHKqH6jZr2VuIwSDJLTwQwys35JYqmeOVl+Wz2EeJZ27QL4XOGjm16b1ru2aGTNadWuv13JnYNxTnw7\/ES+7rBxjYli7W5mspKiwvxcFSBI7oHXDI2+VwXRe07hezB6OXFJGSTxUzqdrooiwSO64qYaZuUvIGjpgTfkBXltjm2mkx6SSkijqqWqgh644qpEREsAeyJ8kT4nuvkfJEHBwb\/attfW2s3H4nLnAFDy\/3W07Z2GzZCTZ8\/wDZcm4tTS00jqaeOWmqI7Z4ZmmN4BvZwB+Ew2NnC4O8ErFknXV\/VUcF46rDZa7K0VeFgVEMu53E8YxtTC528xmMl1u6jZ0rkDB6aSsmiooRmqKueKnhBvl4yV4YHPtujbfM48jWk8i6mFxYmjzHSt65GKwJhkyjW9ysbgNsoxDFYBX04pG075JY43VM0kTpDC7I97GshfeMPD2XJBvG7TQEwbQNmNdg8TKupFM6CSZsGallkmySOa97eMD4m5GkMcAddbDlF+xeDuFRYdSxUjS2OmoKZkfGPIaBHCzt5pXHQE2c9zjyklYu0bgy3E6Oow51m9cwubG8i4inYRJTzWG\/JKyN1uXLblXLG1H85wy38l1TshnN8c1fC1wkyS6bLIsJxdE50MjTHNDI+GaN3wo5YnmOSN1uVr2uHiUsTb6rug2vPubRWXC9Th6x2p7SrAqhVsZkhcosyTMtWlu2pcyQuUWZJmU0otPLlNhlYIZYpzq2CeGYjnEUrZCPDZqxiUx6VeiZqXUHDOHjIQ9vbBjmy3GoLC0gkW3izgb8wXhik2M8O2PYzC6hwbNGBHSyPIDZ49zIHE6CVos0X+EAOW9\/V41wVJJfCRrqYnGwH4juboPlXwb+IHI\/FT4jpWHbmNAOaN5rc5vfpoRv03HWvo2xNqxGPK41+neCvJkppKyaugkj+GyRtuUtOXxOGh8qxLr4\/Lh5IXZZGlp7iCD7FepY5rhbTaCVncHq0QzMld8AFwcd5aHNLcwHRfyXWvJTb30WXB4h+HnZNH+Jjg4eoNhTJGHsLTuIpWjV4zCxvGcZG4WuAxzXOceZrQbkqs4gZHgAdtJIAGjkL3aDwarKosFml+DG8Dunji2+G77X8V163AsAZSA1MrmF7GOc6RxDIoGAHO7M+24Xu8205tV9IlZtPlRNFnh5qJhsu141ZF7zpoBu4lcVpw+z2Op2Zx4fe5ea6o2UCgDTvkrIGsHOQyV5\/wDiwrnaxC9ztl4cDEZxHESaKkzNidqOPldYST2O5mga0HWwJ+PYeCMi\/QuChMcQDt51XzLHTCSUlu4aKQppUZkTHSLcAWjakcVG4qN0iYZFaktSEpjionSKN0o5\/wCamlFqXMmFyGEnkNunT5FK2JWpVL1DdRlyyXQc9\/n0JvEBTQVcyxS5QTu0We6ALHqKYW3n5PUopTmWbsYP15w\/8sP8POu4pXhoLjo1oLieYAXJ8i4f2Nx2xnD+UdeH9xOu4JYw4Fp1a4FrhuuCLEXHQvO7W\/NHp+pXpNk\/lH1\/QKvRtvwTf9EaTX++9mucOq64YUmJ1FHLRzxVkcNJURyuiz2Y98zHNac7RqQCfEugW9T3gQ06x0Gg+rcU5P8Ai1XHVIbJMLwzDJa6kpet6plRSRtl64rprMlqGMkGSedzDdpI1HKq4V0LZBlzXu1rjosuJbM6M5stb9L4aq5thn2nwz80Yf8Aw0a3VBwmglqp8LD7V1HFBPJA7Rzqeobdk8XfIw67HW1aQLgB7C7S7DPtRhn5ow\/+GjXMnVL8IJ8O4RfRCmfxVTTUtC5jrEseOLeHwzMBHGQvbdrm3Gh0IIBGCODnZXN9a91mfNzUbXei7IhpGNc+VrWNkmyca9oAdIY25WF5HwiG6XOtgByBUF1b5+pKL85O\/hJ1aeyTh\/BjdIyui+lyi0dZSlwdJSVIAL4nHTPGfhNfYZmkGwN2iquri+w6H85O\/hJ1OEaW4hoO8FVxbg6BxG4hc00uoWPiDPl3gp1FIitOi9URovKtPaXdOwIfWfDR\/wC2037AXN\/VlfbiPl+s1Hy2\/wD9eIrpHYJ9p8O\/NtN+wFzn1YgH0YjJDj9Z6PcCR9l4hzDevPYD+qPxXosd\/Sj4KomxXG63Sf5DlXVXUTtthtUB\/tuf\/t2FrliYNIv2wP6YXU3US2+htVY3H0cn5Sf\/AKdhfOujtX8n4hc3ZH53wKuLhHwlpaANfVVNJQslcWRuq5oqdsjmjMWsMrgHOA1sFi8HuGtBXPMFLWYfWztjdM6GlqYJ5GxMcxjpCyJ5IYHSRtJ3Xe3nVH9XW29PQbz9W1Ggt979K8J1Ew+u02hH1jq99vv\/AArmK47MIHQGW9dV2XYoibm6XRfVF\/abEfyJ37bFrOpRma7A6PLpkdXseOUSDEasuv4cwd4HhbLqjT9ZcR\/InftsXOHUsbWGYTI\/DaomPDK2USx1BuW0dWWtjLpRvFLI1rAXbmOY0kZXPc2YonSYc5eDr+SiSUMxAzcW1816vq36OTjsPqLOdTGGrga4fAZPnhkc1x3Nc+MAgbyIXdyVR3AygkmrKSGIONRJX0YhyXJa8Txv4zTc1gaXl3IGE6AL6A4xhdNiMHEzMp66jna14DsssUg+FHJG4cu4te03G8FaTgXs0w7C3makpY4JnAt45756mZrXWzMZLVSPdGw2F2tIBsssGPEcOQjULFNgXSS5wdDS9eudepwna\/HeED2fANXLa1rEjEasOcLbw5wc6\/LmXstv+16HB4X00L2TYzNGWQQMIf1pnbpV1XJG1oN2sOshsAMuZzam6he\/XWIEkkmkpCXOJLnHj5iS5x3uJ1v0rDFE4QPeeNV7hZpZWmZjBvF37FdH7SOCEWMUkuFzvqIYKkwOfJSuiZO009RFUsyOmjewAvhaDdp0JtY6jzuybY9Q4E6Sen66nqZ4+JfU1kkckrYc7ZDDGIYo2MYXMYTZtyWNudAl6o7hHUYbhNVX0snW9XC+hEU2SKXKJsQpYJPpc7HMdeOR41abXuNbFQ9T1tKbjtEJXljcRpMkGIwt0HGkHi6ljOSGZrS4cgc2RlzkucIEghJB7N6\/JZiY+dAI7VaLzXVecO4aPD5MKD2uxDFGsibC0hz4qTjA6eolaD2kbmsdE0ne59wCGPtWnUVcEeuKmbGni8OHNNLSkjQ1tRHeZzTyOjpnAH8sHMsvqyNlxbJ\/pHTRukFQ6KHE4YgXOE9mQUtWxg1Oe0ULgPjcUbHM8q\/tjPA8YRh1Nh2nHRxcZVubqH1k542pId8Zoe4sae5jbzLaMjY8NTTq7f8AqtXmnSYnM4aN3fosfbrg9ZXYbUYdRCI1VcxtK900nFRtpZXAVd3ZTcvhD47W+635FtdmdPVRUNLBW5PohBTMgqXRyccyV0N4mz8Zlbd0jGMeRYWc9w5Lqpto\/VLQ4bWz4Y2jlres5GwvqGVMcTHTCNjpWNYYnH6W9xjNz8KNyztkPVCw4zWNws0slBJNDM+CR9QyYSywtEhgDWxNs4xCZ97\/AHE861zBLzf4dN9rYE8XOVm13Uqo6rPgh1niIxBjbU2LxmR1vgsrYAyOoboLNzsMMgvq5zpTyKsIDou0+qC4H\/RXDZoGNz1dN9W0QAu41FO1xMTfwpYnSxDkvKDyLiTD5bgHkIuD0WuF29mzZ4qO9un7Lz+1IOblsbna\/v8Afms4JQUW+flSXXRXKVnl6TOoCCnMWvS2rUmdPCRknQFIJlNKCUBhQ9thdLxiZK7RWyquZY0rifB8+de04KbVayjAiflroG7m1BcJmt7ltSLm344fbcLALxockOqo+FkgpwtZI53xm2GleWE7bqR9hLFVUzuUgMniHgcxwefMW17KuFO1M2v4VJWE\/JAVzoWBRmMLSfsiB++\/v1BW83bE7e4\/D9iF0d2UsI783\/BV3uya\/a5hbPgyvd0MpKtpPnwtC5wdEFGYVQbFw41F\/L9lY7anPd8\/3V441t4hbcU9NUTO3B1Q+OnZ+MBHxjnDoIb4lVvDfh3V4n2kz2spwbilgBjguDcOkBJdM4WHwyQCLgNXnjEkyLciwUURto17zqtSbHSyinHTuGihEaYWKfKUxwW0tXMoCzwqNzOkqZxUblNKLUJZ4Uwx+FTlMKmlFrHMalp7DehyYVIUWs9sg6EpetaUoksirazy9RySAakgBYwlT3tB36pSWh1QOS3hWDVy33FxPctAcB5Rp5VkugbzBBYBoNB0KQQo1WldLNC5s0T3QTxnNHNC58U0ZsRdkjCC11iRcW3p0vDfFv8AaOMeLEK32y2E0APOsc0fj8IH8lidG1xsi1sMnc0UCsUcNMW\/2ljPg+iFd7ZYuKcI6+qjME9ZiVXA4tLoamrqp4i5jszC6OWQtJBAINtCFszS+D9SxxDe4sBbd0qvMN4AK\/SnbiVhUvCnEYmthjr8Yhhia2OKGHEK+KKKNgysjjijmDY2AAANAAACwcSnmqXmaeWpq5y0NM1VNLUzFrfgtMsznOLRc2F9LrZVNLrca86jMB5lYQgagKHYokUSsHDcRqaPM6mqK2hfKGtkdRVNRSOkDCS0SOp3tLwC51gb2zHnT6\/HKyrDWVNXiNcxjs7GVlXVVbGPsW52NqJHBr7Ei41sSsh1LfkKfFSAb9Pnzq3Mi7pVOKdVXosWCDyqSajcegdK2cUbfwSpTGP\/AAspGi1w7W1h03CTEYWthixDFoYY2hkcMNdXxRRsbo1kccc4axgG4AAKKqr6iocJqiaeslDBGJaueeolyNc5zYxJO5zgwOe4ht7AvJ5Ssp9PfdcfhcnkO9PhpQNd55z\/AC5lhEQBulndiHOFErGcxzhY\/S+fUFx8HMiixerpWmKmq8RoYnPMj46OrqaWN8pa1hleyCRofIWsYMxF7MAvoFsCxQPphzBS5odvVI5S02Fg4nilXVhrairr61sZLo21tTU1bY3EWLmNnkIY4jS4socPrKilcZaeaopJywxulpJp6SUxOc1zo3SwPDiwuYw5SbEsaeQLZdaA84HQbE\/0T+tgNLaKOaFUr9IN3axqrhHiEzXQzV+L1EMgyyQz19fNBI3uXxSTFsjehwO5at9GPHzC9\/IFvBD0ePk\/qpGwDx8\/L\/4QRgbkdiC7eVh8GuEddh\/2LV1tGy5PEQzP63Jcblzqd143Pvy5b6lbfE9puMVDeLkxCvyHeIXtpSRzF9KxjiOi6wX04TW0oWM4dpNkD2CyDFvAoE+60rKIm7jcucS5zjcuc5xu5zidXOJ1JKyaDEKikLnU1RWUT5AGyOo6iopXPa0ktbI6B7S8Ak2Bva5Wye0DQLGliWXmgRqsXSCDosLFuEdfUsNPNXYrVU78ueCprq2ogeWPbIzPDNK5jsr2tcLjQtB3gLCwevqKRxkp56yike3I+SiqJ6V72XDsj3072lzbgGx0uFszThNMHgVOZFVSv0pxN2h3DTFDp9EscI5jieJEeQzoHDbFP9p47\/zTEveFG+BLFS8qr0dvcFfpj+8+5WrNO6RzpXl8kkj3SSSSOL5JJJHFz5HyOJL5HOJJcSSSSSpaZskD2zRPmp5ojeOaB74Zo3WPbRyxkOY6xOoI3lbdkXyIdGPn5P1LJzYqlh6QbtPj4aYp\/tLHP+Z4j7dYlLfeSSSSXFxu4k6uJJ1JPKelTcR87eFSRst8qhsQbuCSTl+82pG3Qkv8\/KgrLS1rVm3RdR5kocsFLYtOulDkzMmucppLUudIZFAXJC9TShSSPUDpCOf5+FOLkwuU0lphnPzCb1yeZPcoyEUWjrnoKXrgdKiLVG5ilFkcalzrDLT0pNelFFrMvdNcbLFZIWnn8KbNOT0KUWQ4qJygfOUw1JUqpU7goy3wqPrhN48KUT3BMLUcaOdJnCaKLSFqYU8uTbooUZStkt4EpKaSpUWnGdNM6YU0hKS0906idKT\/AEQQmkIAlprjfnUdlMCEAhWCi1GGpwjT7ouoRNypUXSKqkIskyjmHkCEIlpSkt4UIRLR5UqRCJaPn89UfPRCES0t0t01CJaddRSvO6x8Nk9CkJaxgVG8qaoKxyVYqqaSmuPlSuKGtUUptIxqkCEBEtLZLb+f8\/Uk+flUlNA6RwjY18sjzZkcbXSSPNibNYwEuNgdAORQiiKFkV1HJCcsscsDi3OGzxvhcWagPDZACWaHXd2p5lm4zwfqKVrZJonQslJawl0TnB7WseY5WRvLqeXLIx2SQNdZ17KMw91NHu3LVEIKLpVZRasLMgFQ5kB6wrNalukUedJnUpakJSEqMvTc6UlqQlJmUTnJMylQSpC5NJTMyQuRQnEppKQlNJUolum3SEpCUUWlJTCi6aSiWkc1RuYpCmlFFqF0ajdEpymlSotYxiTDGsolNKJaxCCkuVkkJjmqVFqAyFJxxUrmJhYpS0wzpOPSmNNMalQl45IZFGY0wxoinzKOyjLE2xUhRalIPOkuVHcozlSotSZyhspUXGpOOUUlrI41NNTbkUXGpHOBSktZAqAnCYLEsE5gCUlrMzhFwsdRPCiktZyFgAlSRuKUlrLQocyC4pSm1MmveAsaZ550jUpRaJConJ7kNClLTWtTrJyLKEtNslCWyUBKUpv9FZ3U7YTxlU+rIJNJDxUFgD9VVgfGxwuDmyxNnGWx\/tW300NaWXRGxbC3U+HZ4h9WVQlqbyZmxh0zSyjbmaxxDHxRxOOVriQ52mUOzaWPkyREd+i3tnx55gfDqtb1SWCl9NBiOZr5IZHxvs4vPEVGVrJHuBILGyshYLH7s61wMxq3hljNNNFT09M2thipRLmiqeILZJZiHS1TnxEvlqnlrA5ztA2NjWhoFld+E8GJ24Z9CKp0EsskU0ET4S6Zzs8r308rnSxsyiKRzDmIJtEA0i7gebXsLSWuBa9pLXtOha5ps5pHIQQR4lhwNFuW7yE16H7Ky7QsOz1WcC++xw+ijsiyciy6S5lr2t0t0y6LrGs1p10XTLpLolpSUhSXSEootKi6aSkuiWlJSEpCU0qVCUlISkumkootKSkukKQlEQSkukKaSpROJTXOTUhRQlumuKEhKmktIU0lKU0qVCRIUXSFFCQpqUpFNImEJE4pECglMKaQpCE0hSijISBqkskaEUWo3MTC1T2TC1SiiLE3IprJERQmNN4tZFkhCKFBxSOLU9kAIix8hRlKyrJlkUqCxSglS2RZEUWcozqWyWyIsfVPAUlktkRRgJbJ1kWUImoTkJSlNSpVJTxOe5sbQXPke1jGDe573BrGjpLiB40RNgYC5rXEsjc9okeAXFjC4B7w0fCIbc25bK7Nqe0SKKlpabDKhoL3yvnkhDc8cMbGsZTyRStzRB3GN+E1pIprbgAqyxHgjNCS2R0EeV1W2Ql0xDG0TmMfMQ2EufC8yx5HRh18+obY2zBs6rNBkjD3vLGxFzw8uFCyvdbtMpsx4jNnEiS43DMtSVsMha5x3XpwK24XTRhzWtParXWx\/wAr0ezDaNOaktrKnNBNTysEtRxEbYZWASNcZA1tg5jJYrE2JmA5V47aPNBJWTzU72ywTyCbM1r2tE0jQaho4xoLxx3GHMBlObTRPi4ISuuBJSukbI+AwA1XG8fHLSQPgB62yOeJq2njuHZSXGziAXJ7+BczXPje+mifTxzTTMcakuZT09Q+nlqBlgLXsHFyPDQ7MWtuG3IBNbEx+dpqxVDcjnyvZkcLo3Z3+68whbzhTwYmoMgm4r6c6VrOKfxgvC2B783ajKbVMeh15bWLS7SraaQ4WNQtVwLTR0K9clConsw1ne6H0dR7wjsw1ne6D0dR7wuT1pB5+y7HU+I7h7q9Ul1RfZhrO90Ho6j3hJ2YKzvdD6Oo94TrSDz9k6nxHcPdXpdISqM7MFX3uh9HUe8JOy\/V97ofR1HvCdaQefsnU+I8vdXmSkuqN7L9X3uh9HUe3R2XqvvdD6Oo9up60g8\/ZOp8R3D3V4lNVHna9V97ofR1Ht0dl2r73Q+jn9unWkHn7KOp8R5e6u8lJdUh2XKvvdD6Of26Oy5V97ofRz+3TrWDz9k6nxHl7q7SUl1SXZbq+90PmT+3R2WqvvdF5k\/t1PWsHn7J1PiPL3V1lIVSvZaq+90XmT+3Sdlmr73ReZP7dOtYO8+yjqbEeXurqTSVS\/ZYq+90XmT+3Sdleq73ReZP7dT1rB5+ydTYjuHuroJTXFUx2V6rvdF5k\/t0dlaq73ReZP7dOtYPP2TqbEdw91cxKaqb7K1V3ui8yf26Tsq1Xe6LzJ\/bp1tB5+yjqbEdw91caCqc7KtV3ui8yf26TsqVXe6PzJ\/bqetoPP2TqXEeXurjKaqe7KdV3uj8yf26OynVd7o\/Mn9unW0HefZR1Lie4e6uAhIVT\/ZSqu90fmT+2R2UqrvdH5k\/tk62g8\/ZOpcR3D3Vv2Qqf7KNV3uj8yf2yOyjVd7o\/Mm9sp62g8\/ZOpcT3D3Vv2SWVQ9lCq73R+ZN7ZJ2UKrvdH5k3tlHW0HefZOpcT3D3VvEJLKouyfVd7o\/Mm9sjsn1Pe6PzJvbKetoO8+ydS4nuHurcyoyqo+yfU9xR+ZN7ZHZPqe4o\/Mm9snW0Hn7J1Lie4e6tvKkyKpeyfU9xR+ZN7ZHZPqe4o\/Mm9so62g8\/ZR1LiO4e6trIjIql7J9T3FH5k3tkdk+p7ij8yb2ydbQd59k6lxHcPdW1kRkVS9k+p7ij8yb2yOyfU9xR+ZN7ZOtoPP2TqTEdw91bXFoyKpeyfU9xR+ZN7ZHZPqe4o\/Mm9snW0Hn7J1LifL3VtZEZFUvZPqe4o\/Mm9sjsn1PcUfmTe2TraDz9k6kxHcPdW2GJHMVS9k+p7ij8yb2yOyfU9xR+ZN7ZOtoO8+ydS4nuHurXISWVTnaZU9xSeZN7ZJ2S6nuKTzJvbKetoPP2TqXE9w91bNkWVTdkyp7ik8yb2yOyZU9xSeZN7ZOtoPP2TqTE9w91bNk6NxaQ4Etc0hzXNJDmuabhzSNQQQDccyqXsmVPcUnmTe2Sdkup7ik8yb2ydbYfz9k6kxPcPdXGzEJRkAlqAIQ5sIEsoELXMEbmxAO+lAs7UhtrjTcmGrk7uXQucPpj9C+QSvI10Jka15PK5oO8XVP9kup7ik8yb2yOyXU9xSeZN7ZR1rh\/P2U9TYry91crsVmIDTNVFjcuVpmmLW5MoZlaX2blDW2tuyi25JFi07AGNnqmMZlyMZPM1jMha5mRrX2blLGEW3Fo5gqb7JVT3FJ5k3tkdkqp7ik8yb2yjrTDefsp6nxXl7q3J53P1c57zcuu9znnMWsaT2xOuWOMX5mNHIFFZVR2SqnuKTzJvbI7JVT3FJ5k3tlbrbD+fsq9S4ny914lCELyq9ihCEIiEIQiIQhCIhCEIiEIQiIQhCIhCEIiEIQiIQhCIhCEIiEIQiIQhCIhCEIiEIQiIQhCIhCEIiEIQiIQhCIhCEIiEIQiIQhCIhCEIiEIQiIQhCIhCEIiEIQiIQhCIhCEIiEIQiIQhCIhCEIiEIQiIQhCIhCEIiEIQiIQhCIhCEIiEIQiIQhCIhCEIiEIQiIQhCIhCEIiEIQiIQhCIhCEIiEIQiIQhCIhCEIiEIQiIQhCIhCEIiEIQiIQhCIhCEIiEIQiIQhCIhCEIiEIQiIQhCIhCEIiEIQiIQhCIhCEIiEIQiIQhCIhCEIiEIQiIQhCIhCEIiEIQiIQhCIhCEIiEIQiIQhCIhCEIiEIQiIQhCIhCEIiEIQiIQhCIhCEIiEIQiIQhCIhCEIiEIQiIQhCIhCEIiEIQiL\/9k=\" width=\"304px\" alt=\"Curso de Cient\u00edfico de Datos\"\/><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Con esta maravillosa oferta, definitivamente estamos de acuerdo en que la ciencia de datos es para todos. Despu\u00e9s de convertirte en un cient\u00edfico de datos de nivel inicial, puedes pasar a ser un cient\u00edfico de datos de nivel medio y luego un cient\u00edfico de datos senior. Por lo general, puedes esperar un aumento de sueldo [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[165],"tags":[],"class_list":["post-11077","post","type-post","status-publish","format-standard","hentry","category-bootcamp-de-programacion"],"_links":{"self":[{"href":"https:\/\/mundofibracojedes.com\/index.php\/wp-json\/wp\/v2\/posts\/11077","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/mundofibracojedes.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/mundofibracojedes.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/mundofibracojedes.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/mundofibracojedes.com\/index.php\/wp-json\/wp\/v2\/comments?post=11077"}],"version-history":[{"count":1,"href":"https:\/\/mundofibracojedes.com\/index.php\/wp-json\/wp\/v2\/posts\/11077\/revisions"}],"predecessor-version":[{"id":11078,"href":"https:\/\/mundofibracojedes.com\/index.php\/wp-json\/wp\/v2\/posts\/11077\/revisions\/11078"}],"wp:attachment":[{"href":"https:\/\/mundofibracojedes.com\/index.php\/wp-json\/wp\/v2\/media?parent=11077"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mundofibracojedes.com\/index.php\/wp-json\/wp\/v2\/categories?post=11077"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mundofibracojedes.com\/index.php\/wp-json\/wp\/v2\/tags?post=11077"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}