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<tr style="border-collapse: collapse;"> <td height="84" valign="middle" style="-webkit-text-size-adjust: 100%; -ms-text-size-adjust: 100%; mso-table-lspace: 0pt; mso-table-rspace: 0pt; border-collapse: collapse;"> <center><a href="https://link.coursera.org/f/a/nevZnSMutvqt4YLVpleKtA~~/AAQRxRA~/iqaydvrhJhZcj6PAv6dlrQoOSzOJ7V8HiAAcngjnL2vSpm49bVDUKkaUey8CnQiw8t-2fjzTHYxj_wB2ZmsGTAb5a69fkro4S6mkhnVBK3QelBdAzZMXF2VgdMaNRy4ozn60wM0sAsQ4TVVfcT4ePKiz4zaRUJ-p0kyEAQpYewc9jDsMhSFgMqiGcRDOo9rNHSZI9gCFa_Sl41gZiJmqjpRT9HpM7jjF5isin80M2q_fTEBFVjs4oDJcGNinYXLi1cb1GBggCd_Xc18Y_bKXAEjgIuEdthEMybasW3NjLlil_x_4UUKo5Et2YU48hmXx" target="_blank" style="text-decoration: none; -webkit-text-size-adjust: 100%; -ms-text-size-adjust: 100%; color: #0056d2;"><img src="https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-misc.s3.amazonaws.com/mailspin/prod/04_19_2022_19_16_21_logo-coursera.png" alt="Coursera" border="0" height="20" class="logo" style="display: block; font-size: 34px; font-weight: 600; height: auto; line-height: 20px; max-width: 142px; text-transform: lowercase; width: auto; outline: 0; text-decoration: none; -ms-interpolation-mode: bicubic; margin: 0 auto; border-style: none; border-width: 0;"></a></center> </td></tr>
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<h1 style="mso-line-height-rule: exactly; font-family: 'Helvetica', Arial, sans-serif; font-weight: 600; letter-spacing: -.03em; font-size: 43px; line-height: 52px; margin: 24 0 24px;">Recommendations for you</h1> <p align="left" dir="ltr" style="font-size: 18px; font-weight: 'normal'; font-family: 'Helvetica', Arial, sans-serif; -webkit-text-size-adjust: 100%; -ms-text-size-adjust: 100%; letter-spacing: -.02em; line-height: 28px; margin: 0 0 32px;"> We combed our catalog and found courses that we think match your interests. Browse our recommendations below, and start learning something new today! </p>
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<h2 style="font-size: 36px; line-height: 42px; letter-spacing: -0.03em; font-family: 'Helvetica', Arial, sans-serif; font-weight: 600; margin: 0 0 13px;">
<b style="font-weight: 600;">Introduction to Google Data Analytics</b> </h2>
<table dir="ltr" border="0" align="center" width="100%" style="-webkit-text-size-adjust: 100%; -ms-text-size-adjust: 100%; mso-table-lspace: 0pt; mso-table-rspace: 0pt; border-collapse: collapse; border-spacing: 0; border-width: 0;"><tbody><tr style="border-collapse: collapse;"><td class="recs-card" rowspan="2" valign="top" style="width: 106px; -webkit-text-size-adjust: 100%; -ms-text-size-adjust: 100%; mso-table-lspace: 0pt; mso-table-rspace: 0pt; border-collapse: collapse; padding: 35px 31px 0 0;"><a href="https://link.coursera.org/f/a/SuDOB1WS2ZiWjqjvodCoGA~~/AAQRxRA~/7u38FKhh0xFRQ53cmKFLWGAlzA5v26JzNHpHPxkM42_lWPGGhK_GnmZqvXAGPYOSP5XA9DqTcWtGMMlzN-9S_w1GoZxaYhdUk7mYHz-VowT55fgtpUDajla5Ch-sgLXjFoOyrfeU6TeBzaJFR8BMq8-0CdrDt-xIZgz0uR5Ed8HHsMZWJ1kjfWAO9Rh7orrfZjN0txM2Zdo3opP0W3BLY7TBa0umB7ilyv5qJvNngujwn7eJluATYIhlRFNAsJw6kUbVwzXWWS0VSDXvuQ2DzGMlJ75hioVIqzvBapHArLxEg0aDSpE1n49Duz0VaXTQajlWmrrOnMaZzkPKxPvmxjIeTzebUKWpOiStfouiViFNKfhA9kgaRARQO58-gWxS" style="-webkit-text-size-adjust: 100%; -ms-text-size-adjust: 100%; color: inherit; font-family: inherit; font-size: inherit; font-weight: inherit; line-height: inherit; text-decoration: none;"><img width="106" src="https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://s3.amazonaws.com/coursera-course-photos/64/1dd26fb7e24637b91b119764d08e01/GCC-Coursera-thumbnail-DA-foundations-tony.png?mask=corners&w=212&h=212&fit=crop&crop=entropy&corner-radius=6,6,6,6&border=1,D9D9D9" alt="Icon" style="display: block; width: 106px; line-height: 100%; height: auto; outline: 0; text-decoration: none; -ms-interpolation-mode: bicubic; border-style: none; border-width: 0;"></a></td><td align="left" valign="top" style="font-family: 'Helvetica', Arial, sans-serif; line-height: 0; color: #000; font-size: 14px; -webkit-text-size-adjust: 100%; -ms-text-size-adjust: 100%; mso-table-lspace: 0pt; mso-table-rspace: 0pt; border-collapse: collapse; padding: 28px 0 0;"><table border="0" align="center" width="100%" style="-webkit-text-size-adjust: 100%; -ms-text-size-adjust: 100%; mso-table-lspace: 0pt; mso-table-rspace: 0pt; border-collapse: collapse; border-spacing: 0; border-width: 0;"><tr style="border-collapse: collapse;"><td valign="top" style="font-family: 'Helvetica', Arial, sans-serif; font-size: 14px; line-height: 16px; color: #636363; -webkit-text-size-adjust: 100%; -ms-text-size-adjust: 100%; mso-table-lspace: 0pt; mso-table-rspace: 0pt; border-collapse: collapse; padding: 6px 0 18px;">Google<br><br><a href="https://link.coursera.org/f/a/QalDvSJlZWlR83Jroy8d3w~~/AAQRxRA~/7u38FKhh0xFRQ53cmKFLWGAlzA5v26JzNHpHPxkM42_lWPGGhK_GnmZqvXAGPYOSxqOgci2eDzwUZZx-yMT84kLtE_vdjTr84e4Vm5JjyIarMTqRogUBRv9SzO14VZsKXw48TvHytpq4vvT3fY3S8qd4GDy9x6PEKccOGbCWedEkWbALKqnaGAz3nQzjQ0keehNahhrR0JrHE0cVHGfazB2NWYXYTCA58BOKPv73xv90WuiHxZjTF53EQGFKtGN5Em9WviaDYmf7kjXSuolvtNGT_yMQBoXyhISieCGOsHKBo-PeIzNgtq2wbo8R-3PCIR_krtxPUxMJenyeT18Vo9T6jiQdWwGO0norVa2qtOztbfC2uEmoLYUQvCUtAiMl" style="text-decoration: none; -webkit-text-size-adjust: 100%; -ms-text-size-adjust: 100%; color: inherit; font-family: inherit; font-size: inherit; font-weight: inherit; line-height: inherit;"><h3 style="font-size: 24px; line-height: 26.4px; color: #000; font-weight: 600; letter-spacing: -.03em; margin: 0 0 16px;">Foundations: Data, Data, Everywhere</h3>
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<table dir="ltr" border="0" align="center" width="100%" style="-webkit-text-size-adjust: 100%; -ms-text-size-adjust: 100%; mso-table-lspace: 0pt; mso-table-rspace: 0pt; border-collapse: collapse; border-spacing: 0; border-width: 0;"><tbody><tr style="border-collapse: collapse;"><td class="recs-card" rowspan="2" valign="top" style="width: 106px; -webkit-text-size-adjust: 100%; -ms-text-size-adjust: 100%; mso-table-lspace: 0pt; mso-table-rspace: 0pt; border-collapse: collapse; padding: 35px 31px 0 0;"><a href="https://link.coursera.org/f/a/NX3WR-eEkO0FiaURQNypow~~/AAQRxRA~/_tFUZH-7ueXw0cPw2lnuTym8Itxf4fOeviOz1VEui6n_0sc2wQ6OzKfon7TJw_18KmQnqdgt_w0R7kJ3rfbJOBYwPAOSFuenK3oT9iDG6s5f3f0JrnGcon066lfGXSMQHtFsFfia6O-UBiEMRYVjKsY4HIkZDky_8Q2kOSzCdirNdsxYXqsF-ZnzSipQhUR4Sn7-RaDX04arYiIh6lEq3jooc49uboZwgJmu3cxk2aezJA81lhNmZrPQoR-IsvS0L-cNE_BsmK_awj7Ehy_Ga7_9uNQC3UBIwFI3CrfumWZ3jgS5UY8dI96iRL1WAkLgMOYuNHiLbXhJIUNxTDyMZQr3psZaL6kE5mZUSbIY3ZXu4DEbksaBrp7GAPYhzg0Z" style="-webkit-text-size-adjust: 100%; -ms-text-size-adjust: 100%; color: inherit; font-family: inherit; font-size: inherit; font-weight: inherit; line-height: inherit; text-decoration: none;"><img width="106" src="https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://s3.amazonaws.com/coursera-course-photos/9d/8d6db864cc47c180876474ad8acb50/GCC-Coursera-thumbnail-DA-process-data-sally.png?mask=corners&w=212&h=212&fit=crop&crop=entropy&corner-radius=6,6,6,6&border=1,D9D9D9" alt="Icon" style="display: block; width: 106px; line-height: 100%; height: auto; outline: 0; text-decoration: none; -ms-interpolation-mode: bicubic; border-style: none; border-width: 0;"></a></td><td align="left" valign="top" style="font-family: 'Helvetica', Arial, sans-serif; line-height: 0; color: #000; font-size: 14px; -webkit-text-size-adjust: 100%; -ms-text-size-adjust: 100%; mso-table-lspace: 0pt; mso-table-rspace: 0pt; border-collapse: collapse; padding: 28px 0 0;"><table border="0" align="center" width="100%" style="-webkit-text-size-adjust: 100%; -ms-text-size-adjust: 100%; mso-table-lspace: 0pt; mso-table-rspace: 0pt; border-collapse: collapse; border-spacing: 0; border-width: 0;"><tr style="border-collapse: collapse;"><td valign="top" style="font-family: 'Helvetica', Arial, sans-serif; font-size: 14px; line-height: 16px; color: #636363; -webkit-text-size-adjust: 100%; -ms-text-size-adjust: 100%; mso-table-lspace: 0pt; mso-table-rspace: 0pt; border-collapse: collapse; padding: 6px 0 18px;">Google<br><br><a href="https://link.coursera.org/f/a/nRDVZ7Qc0HA7JtSsN3WIOQ~~/AAQRxRA~/_tFUZH-7ueXw0cPw2lnuTym8Itxf4fOeviOz1VEui6n_0sc2wQ6OzKfon7TJw_18u1jgCKavs7j3dJjSbUrAq4Fu-lLTV0VNIG5Nv9NVPqoW6vMQgJecM1yhK7uZvP9m2MURcmZ-wFzacrxJ8z5podhscqfe1KpAE2yBL41jQNk1rmzeevlYgFYpk3meIF7BqoxOrcX6ONxmQtlCq0dkQUuR9fGLLYSw-GiAeWDKdg7Fws_-W_dG2ghXJDieD8PwWdAJ5L7Ix7As6M7_-k79WKZo1dGQ-lp18xHzHDNtLSeDBRpBzI9v07nZzwhU2ue4CUjUh0CCfJJtWu3eKagu235S3oO09lONJD6fqJjjSvaCAn7TVcKntpt25cYPhR-k" style="text-decoration: none; -webkit-text-size-adjust: 100%; -ms-text-size-adjust: 100%; color: inherit; font-family: inherit; font-size: inherit; font-weight: inherit; line-height: inherit;"><h3 style="font-size: 24px; line-height: 26.4px; color: #000; font-weight: 600; letter-spacing: -.03em; margin: 0 0 16px;">Process Data from Dirty to Clean</h3>
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<table dir="ltr" border="0" align="center" width="100%" style="-webkit-text-size-adjust: 100%; -ms-text-size-adjust: 100%; mso-table-lspace: 0pt; mso-table-rspace: 0pt; border-collapse: collapse; border-spacing: 0; border-width: 0;"><tbody><tr style="border-collapse: collapse;"><td class="recs-card" rowspan="2" valign="top" style="width: 106px; -webkit-text-size-adjust: 100%; -ms-text-size-adjust: 100%; mso-table-lspace: 0pt; mso-table-rspace: 0pt; border-collapse: collapse; padding: 35px 31px 0 0;"><a href="https://link.coursera.org/f/a/S4UOJPSObIcINc3WFreHZg~~/AAQRxRA~/x9i837pSlq9NQxVMz6EDoX9yTRvuIm315beMmcqJKqAAfezivKtaJSE7eYJaO2XMA5k3-7DiuK12CvRUC0nGChEFKy18cnRgcpdP7lp-7ZYGaJSoFb_caQOy17oHT_mXBmBbYY_BHX3C_LX0w-sUFZnns0jZ5PEtRe2ZIHJzjn2jb5Q8kKeRAd22iTe95CPBScwfE4eW8DE6IDFuLdaAzA-AjbxRd7Lq3MMl5QJJvberf_czwDwXgptAa0KmJhgyM-RJVR7SgWHAFXrADy4MB1N-u9ayYnkCKf41miY-jvk15jh1Qw2hYYwyPv2ECUgf3OWSgqd9dWns791TYI1gL4-H8M-kr8GF5kYHja2tqLvmSePWDSoq9cY-oUxYBoETk4WVhPQKe3enMssbUVJYCg~~" style="-webkit-text-size-adjust: 100%; -ms-text-size-adjust: 100%; color: inherit; font-family: inherit; font-size: inherit; font-weight: inherit; line-height: inherit; text-decoration: none;"><img width="106" src="https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://s3.amazonaws.com/coursera-course-photos/11/3802e84f9f41889f5534b3e30ad45d/GCC-Coursera-thumbnail-DA-ask-questions-Ximena.png?mask=corners&w=212&h=212&fit=crop&crop=entropy&corner-radius=6,6,6,6&border=1,D9D9D9" alt="Icon" style="display: block; width: 106px; line-height: 100%; height: auto; outline: 0; text-decoration: none; -ms-interpolation-mode: bicubic; border-style: none; border-width: 0;"></a></td><td align="left" valign="top" style="font-family: 'Helvetica', Arial, sans-serif; line-height: 0; color: #000; font-size: 14px; -webkit-text-size-adjust: 100%; -ms-text-size-adjust: 100%; mso-table-lspace: 0pt; mso-table-rspace: 0pt; border-collapse: collapse; padding: 28px 0 0;"><table border="0" align="center" width="100%" style="-webkit-text-size-adjust: 100%; -ms-text-size-adjust: 100%; mso-table-lspace: 0pt; mso-table-rspace: 0pt; border-collapse: collapse; border-spacing: 0; border-width: 0;"><tr style="border-collapse: collapse;"><td valign="top" style="font-family: 'Helvetica', Arial, sans-serif; font-size: 14px; line-height: 16px; color: #636363; -webkit-text-size-adjust: 100%; -ms-text-size-adjust: 100%; mso-table-lspace: 0pt; mso-table-rspace: 0pt; border-collapse: collapse; padding: 6px 0 18px;">Google<br><br><a href="https://link.coursera.org/f/a/w8961lNduD0KD5NYPGX4ng~~/AAQRxRA~/x9i837pSlq9NQxVMz6EDoX9yTRvuIm315beMmcqJKqAAfezivKtaJSE7eYJaO2XMA5k3-7DiuK12CvRUC0nGClztJlQjs2v8BIWnbHrLfUCKPLaNXs1jHR9FbeVcIjdjdcFWmF5opiccYip0t2fiTuxnKWI6cdtvt2OXZRHbO8AhXTVNg7aJayIdAjrKl8BmJ_azWaSkO33Jzvz5xwYexZjm9OXVHkc06bRt85Oc-5JXCAazmIJTHOqmSHz6FBq_z8KXlE88odonF6nkxtupSF90TzYdBWd-goFa_SGLnRCLGxWeFVz_PQPAELKuj8HkNDHDX-28n2j885Mzl2rfQT_MhqGpvZbmrPCtiDu0s7TFrjTRUd1JPBDOxEfjEpUc_Cx3zvelTWKOvbTJIidErg~~" style="text-decoration: none; -webkit-text-size-adjust: 100%; -ms-text-size-adjust: 100%; color: inherit; font-family: inherit; font-size: inherit; font-weight: inherit; line-height: inherit;"><h3 style="font-size: 24px; line-height: 26.4px; color: #000; font-weight: 600; letter-spacing: -.03em; margin: 0 0 16px;">Ask Questions to Make Data-Driven Decisions</h3>
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<table dir="ltr" border="0" align="center" width="100%" style="-webkit-text-size-adjust: 100%; -ms-text-size-adjust: 100%; mso-table-lspace: 0pt; mso-table-rspace: 0pt; border-collapse: collapse; border-spacing: 0; border-width: 0;"><tbody><tr style="border-collapse: collapse;"><td class="recs-card" rowspan="2" valign="top" style="width: 106px; -webkit-text-size-adjust: 100%; -ms-text-size-adjust: 100%; mso-table-lspace: 0pt; mso-table-rspace: 0pt; border-collapse: collapse; padding: 35px 31px 0 0;"><a href="https://link.coursera.org/f/a/9amh9ZyU4IMoWfK7GupiJQ~~/AAQRxRA~/6HIJJLBYrsjUz3dQDC5sbEZ71vam0N7_ITqPTg_vQUk4DOpYnJbABQWz4ABL5yXeCc7UbtNan_CdCN8vbzfJYkuLX21W7T56JoThm1CzDXaR9If_YrMrmUKyvGVD4dH_gka8vtcDI5Sct3Wx6yOrTy03fYzsm-txCS769fFSlla30shBQkAjuqqG9E0pjDRfgRaSfkZH-KTLHMObkbB4ufOpsGVg9im-K9g2GIiDXFq0xz3U3SVOl7IHEVM1kRYjMuLHGlQMUlLncpL6JUPI2hS9250Ymulr4yB4R2zKN4NOB-8BAfGxg9vcBaxYsqmha0hKoc3uOaATNNg7fj1sro2MWY1K2ifxHmpemeZ50avnUtIBwFfdOYoV0S2bqKhudnbxYH3f6gCiQXlpxruKPQ~~" style="-webkit-text-size-adjust: 100%; -ms-text-size-adjust: 100%; color: inherit; font-family: inherit; font-size: inherit; font-weight: inherit; line-height: inherit; text-decoration: none;"><img width="106" src="https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://s3.amazonaws.com/coursera-course-photos/77/330fd160df42a79e6286fdc7b6b60f/Course-1--Introduction-to-Data-Analysis_1200x600.jpg?mask=corners&w=212&h=212&fit=crop&crop=entropy&corner-radius=6,6,6,6&border=1,D9D9D9" alt="Icon" style="display: block; width: 106px; line-height: 100%; height: auto; outline: 0; text-decoration: none; -ms-interpolation-mode: bicubic; border-style: none; border-width: 0;"></a></td><td align="left" valign="top" style="font-family: 'Helvetica', Arial, sans-serif; line-height: 0; color: #000; font-size: 14px; -webkit-text-size-adjust: 100%; -ms-text-size-adjust: 100%; mso-table-lspace: 0pt; mso-table-rspace: 0pt; border-collapse: collapse; padding: 28px 0 0;"><table border="0" align="center" width="100%" style="-webkit-text-size-adjust: 100%; -ms-text-size-adjust: 100%; mso-table-lspace: 0pt; mso-table-rspace: 0pt; border-collapse: collapse; border-spacing: 0; border-width: 0;"><tr style="border-collapse: collapse;"><td valign="top" style="font-family: 'Helvetica', Arial, sans-serif; font-size: 14px; line-height: 16px; color: #636363; -webkit-text-size-adjust: 100%; -ms-text-size-adjust: 100%; mso-table-lspace: 0pt; mso-table-rspace: 0pt; border-collapse: collapse; padding: 6px 0 18px;">IBM<br><br><a href="https://link.coursera.org/f/a/2EXtjEpBiT3BfRE6VkxqfA~~/AAQRxRA~/6HIJJLBYrsjUz3dQDC5sbEZ71vam0N7_ITqPTg_vQUk4DOpYnJbABQWz4ABL5yXeCc7UbtNan_CdCN8vbzfJYug9yEWOWa05bfeu3p-B-RwP1MqU7lqwmqO62lhBZo1fm3ujSr83FJtLhvgVyYkuz5qJIfJuDQOfxkSDbgYkii8D7EhusIYAxeXyc57pSNRVu3VHLJq1Ada_L67PY8UtxvblGKaQxqTOOE2rPRiywP3cwYayuXr9iApXtlSnfxCHACpmqF3YwveTiCfUcxuOWTAKwyRNKBI1VrOiYLT6mY_dTINdLBYst_0w8IrYy0GyScZnBoCO9ZcRPbpc-fVUo1lpJgVHGLu02hLgt4zrxRaAGdRprOLN-g12SLxlDPxE0OLaQsj9pH8fxnEudTD5UQ~~" style="text-decoration: none; -webkit-text-size-adjust: 100%; -ms-text-size-adjust: 100%; color: inherit; font-family: inherit; font-size: inherit; font-weight: inherit; line-height: inherit;"><h3 style="font-size: 24px; line-height: 26.4px; color: #000; font-weight: 600; letter-spacing: -.03em; margin: 0 0 16px;">Introduction to Data Analytics</h3>
<strong style="color: #0056D2; font-weight: 700; font-family: 'Helvetica', Arial, sans-serif; font-size: 16px; line-height: 24px;">Enroll</strong> <img src="https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-misc.s3.amazonaws.com/mailspin/prod/04_25_2022_06_53_48_arrow.png" height="14" width="14" alt="" style="line-height: 100%; height: auto; outline: 0; text-decoration: none; -ms-interpolation-mode: bicubic; border-style: none; border-width: 0;"></a>
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<table dir="ltr" border="0" align="center" width="100%" style="-webkit-text-size-adjust: 100%; -ms-text-size-adjust: 100%; mso-table-lspace: 0pt; mso-table-rspace: 0pt; border-collapse: collapse; border-spacing: 0; border-width: 0;"><tbody><tr style="border-collapse: collapse;"><td class="recs-card" rowspan="2" valign="top" style="width: 106px; -webkit-text-size-adjust: 100%; -ms-text-size-adjust: 100%; mso-table-lspace: 0pt; mso-table-rspace: 0pt; border-collapse: collapse; padding: 35px 31px 0 0;"><a href="https://link.coursera.org/f/a/kHEwgTJrJWOChLVRhqYmhw~~/AAQRxRA~/XqwSpZBHT7CJD5Mjw9gKzvgRa26fP052gSij8MpXaB6EGsdjDyhnvI70qlK8k1LtKCMEOEmClAOktwm6-5ab_YxZLuKCfyuHaCrVZ2IkHfjHNMAUrRqOrah80WkYiDnRfDGkQIhnHMzOivFpaafR6mXNvOw0hb7Oo9wPA5puZfnEHSr8Cy3WmDpcro6TfErTd9v1b8_ZCJpUoKnXODi9v-CzkWTrNXIHuGeSelFpCUTwS9F-7XmhHVRCrHlscZa08CmjiMA62_u0UxlpMR50iRr5ssaPdxdkxypqHVdrrCCLBUsIwIVlq3lhXfUT6y9F8S6zKzir79kqSc2Op_oUidajD7rRAwb_RhcvHE5ZSMYrwvyhLDGzdkOSGrqwZw0t2mvBQnEVHUXzeCOf6NWhwMmaVyjibNDYD1uNGsO7GvM~" style="-webkit-text-size-adjust: 100%; -ms-text-size-adjust: 100%; color: inherit; font-family: inherit; font-size: inherit; font-weight: inherit; line-height: inherit; text-decoration: none;"><img width="106" src="https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://s3.amazonaws.com/coursera-course-photos/ea/7de9da3a894e52a56866e5bb7c10fa/Hello-Python.png?mask=corners&w=212&h=212&fit=crop&crop=entropy&corner-radius=6,6,6,6&border=1,D9D9D9" alt="Icon" style="display: block; width: 106px; line-height: 100%; height: auto; outline: 0; text-decoration: none; -ms-interpolation-mode: bicubic; border-style: none; border-width: 0;"></a></td><td align="left" valign="top" style="font-family: 'Helvetica', Arial, sans-serif; line-height: 0; color: #000; font-size: 14px; -webkit-text-size-adjust: 100%; -ms-text-size-adjust: 100%; mso-table-lspace: 0pt; mso-table-rspace: 0pt; border-collapse: collapse; padding: 28px 0 0;"><table border="0" align="center" width="100%" style="-webkit-text-size-adjust: 100%; -ms-text-size-adjust: 100%; mso-table-lspace: 0pt; mso-table-rspace: 0pt; border-collapse: collapse; border-spacing: 0; border-width: 0;"><tr style="border-collapse: collapse;"><td valign="top" style="font-family: 'Helvetica', Arial, sans-serif; font-size: 14px; line-height: 16px; color: #636363; -webkit-text-size-adjust: 100%; -ms-text-size-adjust: 100%; mso-table-lspace: 0pt; mso-table-rspace: 0pt; border-collapse: collapse; padding: 6px 0 18px;">Google<br><br><a href="https://link.coursera.org/f/a/KUT3Lt4n-jdGkoEWjuheoA~~/AAQRxRA~/XqwSpZBHT7CJD5Mjw9gKzvgRa26fP052gSij8MpXaB6EGsdjDyhnvI70qlK8k1LtKCMEOEmClAOktwm6-5ab_YxZLuKCfyuHaCrVZ2IkHfhsrJ3fFeY_tpSh7mDdDErRU218Jw-AhZIHK_u9D0twWPHeTWEHY3et5t5UifJdfKfeiHDqvzu94hlm85WdD8Zd35G4wz1V3UgXKl8EUVjFMZXf5hmEZ8lctkugOtACVlIcBrcz-hmy3UAicOwO89NH3uYjiJYUOu2sNKRNInhEIpyaBbqtGrE0k6wF8dT_S7w6u0JfCHzrPVm7i-qbRE64vQv3o0Mi_AkS4txQaNJfCnRde86OUuJuGi780Zrd0IMT4P8k-tBlQ0OPHT93RZY4IT-VBWlNy67KJTz7tQneL2BgK2YNHmkxW-Dlrz0cM-s~" style="text-decoration: none; -webkit-text-size-adjust: 100%; -ms-text-size-adjust: 100%; color: inherit; font-family: inherit; font-size: inherit; font-weight: inherit; line-height: inherit;"><h3 style="font-size: 24px; line-height: 26.4px; color: #000; font-weight: 600; letter-spacing: -.03em; margin: 0 0 16px;">Introduction to Data Analysis Using Python</h3>
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<h2 style="font-size: 36px; line-height: 42px; letter-spacing: -0.03em; font-family: 'Helvetica', Arial, sans-serif; font-weight: 600; margin: 0 0 13px;">
<b style="font-weight: 600;">Unlock Insights with Google Data Analytics</b> </h2>
<table dir="ltr" border="0" align="center" width="100%" style="-webkit-text-size-adjust: 100%; -ms-text-size-adjust: 100%; mso-table-lspace: 0pt; mso-table-rspace: 0pt; border-collapse: collapse; border-spacing: 0; border-width: 0;"><tbody><tr style="border-collapse: collapse;"><td class="recs-card" rowspan="2" valign="top" style="width: 106px; -webkit-text-size-adjust: 100%; -ms-text-size-adjust: 100%; mso-table-lspace: 0pt; mso-table-rspace: 0pt; border-collapse: collapse; padding: 35px 31px 0 0;"><a href="https://link.coursera.org/f/a/FTZZFaI2GwLGIUruDsME5A~~/AAQRxRA~/7u38FKhh0xFRQ53cmKFLWGAlzA5v26JzNHpHPxkM42_lWPGGhK_GnmZqvXAGPYOSHKmi4ISNMxv-6HRIto8NxfOj1Bd9SIA-ZllJ8AvKBJg7VEW-yc37QR6D-4ajxdvB2U_RxWLp-8Na0e1ByLgtk0d6kK1zS0sFy4zfR7FC-q9J0MjOOZAP_aaDapq5IcFRl8Wk8ORhbEl-3amee06HT0mSK0dQBVlloFI68tYWoNeK-ADeTFGXt7Or2V5k5YoJflp-Mn9kZuzlBdTs-3L6QfI1yAn3wjwm9AeoRN8UeiVQR_3sYlKscERQB3_r5uESVwbgqZnYoVKbXKggbWtf3FY28LM2sF8ZWMUQDsuAjF2aBh1v-NjMjL0-rm0gWbM8" style="-webkit-text-size-adjust: 100%; -ms-text-size-adjust: 100%; color: inherit; font-family: inherit; font-size: inherit; font-weight: inherit; line-height: inherit; text-decoration: none;"><img width="106" src="https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://s3.amazonaws.com/coursera-course-photos/64/1dd26fb7e24637b91b119764d08e01/GCC-Coursera-thumbnail-DA-foundations-tony.png?mask=corners&w=212&h=212&fit=crop&crop=entropy&corner-radius=6,6,6,6&border=1,D9D9D9" alt="Icon" style="display: block; width: 106px; line-height: 100%; height: auto; outline: 0; text-decoration: none; -ms-interpolation-mode: bicubic; border-style: none; border-width: 0;"></a></td><td align="left" valign="top" style="font-family: 'Helvetica', Arial, sans-serif; line-height: 0; color: #000; font-size: 14px; -webkit-text-size-adjust: 100%; -ms-text-size-adjust: 100%; mso-table-lspace: 0pt; mso-table-rspace: 0pt; border-collapse: collapse; padding: 28px 0 0;"><table border="0" align="center" width="100%" style="-webkit-text-size-adjust: 100%; -ms-text-size-adjust: 100%; mso-table-lspace: 0pt; mso-table-rspace: 0pt; border-collapse: collapse; border-spacing: 0; border-width: 0;"><tr style="border-collapse: collapse;"><td valign="top" style="font-family: 'Helvetica', Arial, sans-serif; font-size: 14px; line-height: 16px; color: #636363; -webkit-text-size-adjust: 100%; -ms-text-size-adjust: 100%; mso-table-lspace: 0pt; mso-table-rspace: 0pt; border-collapse: collapse; padding: 6px 0 18px;">Google<br><br><a href="https://link.coursera.org/f/a/LJMB9kY34v6HwpMQ8nVGgQ~~/AAQRxRA~/7u38FKhh0xFRQ53cmKFLWGAlzA5v26JzNHpHPxkM42_lWPGGhK_GnmZqvXAGPYOSu1ywdDQ_ycBPwbBLgPS1bs3CQH33L8WvdSPRd-Fc4UluB3PZ_xsMv0ERgeGzpBuIqifn3pcA8AUcg9cZoMUoldzMAF7iFrcpFKeXhbtxIFhStzM5T6acUjglPBzXskE6vsZjlb0la0MC1FjZN9XFyAqR_AE_27MO8KdB7832gea6FKhngzMoqT5IEoKoAd0bEy7rK1aa3IDArpEv8OhhnYEoRtL3WZTcAhemAQnGN2x44TBNB5cibfCyHF_z-wGknLeibvarGEl_OKi8tcbjyoqYf6s68vlR5GNi1_E2dVFs0uWXIe6POiHgWSM4A_3f" style="text-decoration: none; -webkit-text-size-adjust: 100%; -ms-text-size-adjust: 100%; color: inherit; font-family: inherit; font-size: inherit; font-weight: inherit; line-height: inherit;"><h3 style="font-size: 24px; line-height: 26.4px; color: #000; font-weight: 600; letter-spacing: -.03em; margin: 0 0 16px;">Foundations: Data, Data, Everywhere</h3>
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<table dir="ltr" border="0" align="center" width="100%" style="-webkit-text-size-adjust: 100%; -ms-text-size-adjust: 100%; mso-table-lspace: 0pt; mso-table-rspace: 0pt; border-collapse: collapse; border-spacing: 0; border-width: 0;"><tbody><tr style="border-collapse: collapse;"><td class="recs-card" rowspan="2" valign="top" style="width: 106px; -webkit-text-size-adjust: 100%; -ms-text-size-adjust: 100%; mso-table-lspace: 0pt; mso-table-rspace: 0pt; border-collapse: collapse; padding: 35px 31px 0 0;"><a href="https://link.coursera.org/f/a/GWSbns-6wCA-tuZXyo46rg~~/AAQRxRA~/XHwQefRpXzVWV_tQO9TDFdlorYml0j3V-LF0mPSClq9-3Ni93phI6X5PUe9ze3NcO5uH45Ko2PRShp525qF-YT2ervB0BGIbJ5fEm2Dll7ZErnvbo9lbSjenhsi3FfhSALk01AlQlEisa1qAsjfLJZseh5UB8MKufZP0Cj8Zl3Pn7YBL7ePGRPZqy5i5J45JTnptvxDUO2VgJI1t5OexOebODR5NGcbEyw2bVWh748pQUPOWBQie2bYZqwdMmJ5Qpo_DMzAeuUdTsvLXJLM4-5dxdGNchzlub4ebHg-ETIpyTzGs6zyPpvRVRFvS-AmvXbjLEt8xokYstQm72CZcweyDwrzoyUBA04QIKkmB8xEN4P2RJJl1-7Cf6bqzN_HUFQ2lgJkr0y-KBPpXTeQmag~~" style="-webkit-text-size-adjust: 100%; -ms-text-size-adjust: 100%; color: inherit; font-family: inherit; font-size: inherit; font-weight: inherit; line-height: inherit; text-decoration: none;"><img width="106" src="https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://s3.amazonaws.com/coursera-course-photos/b1/c9594984f44c148be64f7a2dabb489/GCC-Coursera-thumbnail-ADA-google-ADA-Tiffany.png?mask=corners&w=212&h=212&fit=crop&crop=entropy&corner-radius=6,6,6,6&border=1,D9D9D9" alt="Icon" style="display: block; width: 106px; line-height: 100%; height: auto; outline: 0; text-decoration: none; -ms-interpolation-mode: bicubic; border-style: none; border-width: 0;"></a></td><td align="left" valign="top" style="font-family: 'Helvetica', Arial, sans-serif; line-height: 0; color: #000; font-size: 14px; -webkit-text-size-adjust: 100%; -ms-text-size-adjust: 100%; mso-table-lspace: 0pt; mso-table-rspace: 0pt; border-collapse: collapse; padding: 28px 0 0;"><table border="0" align="center" width="100%" style="-webkit-text-size-adjust: 100%; -ms-text-size-adjust: 100%; mso-table-lspace: 0pt; mso-table-rspace: 0pt; border-collapse: collapse; border-spacing: 0; border-width: 0;"><tr style="border-collapse: collapse;"><td valign="top" style="font-family: 'Helvetica', Arial, sans-serif; font-size: 14px; line-height: 16px; color: #636363; -webkit-text-size-adjust: 100%; -ms-text-size-adjust: 100%; mso-table-lspace: 0pt; mso-table-rspace: 0pt; border-collapse: collapse; padding: 6px 0 18px;">Google<br><br><a href="https://link.coursera.org/f/a/tEwrzvS1jpZNazF8U9yTAg~~/AAQRxRA~/XHwQefRpXzVWV_tQO9TDFdlorYml0j3V-LF0mPSClq9-3Ni93phI6X5PUe9ze3NcO5uH45Ko2PRShp525qF-YT2ervB0BGIbJ5fEm2Dll7ba0odZxN46yFPGAIbhy-7fXBzcbmUIyO5piUGg9x0fdldiG151t6s05jqfwtWLLikus5FCaIBOJ8fxjeEAtdEkLhKRwRaQvwFChXIvNrjd0y2NWS_gsqBPT0Dpr3JIFNdob7VDcSmglocjm8n10vQ-j6ISbWjDceWznklflu-b0-j8csg0hHwBdbkAGCglzcMo3jU0CUk5t4lV4uu-8qG_caC8Obm_6V9uCJQtxlLXmOHfvX0vdx5ghlwu8eM1CAHZiYuuvf1HX3tt2MDSEV49o5kCFLf-0NocjgmLShQozA~~" style="text-decoration: none; -webkit-text-size-adjust: 100%; -ms-text-size-adjust: 100%; color: inherit; font-family: inherit; font-size: inherit; font-weight: inherit; line-height: inherit;"><h3 style="font-size: 24px; line-height: 26.4px; color: #000; font-weight: 600; letter-spacing: -.03em; margin: 0 0 16px;">Google Advanced Data Analytics Capstone</h3>
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