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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/P_9cLGvv1-VMHxI3chBKNw~~/AAQRxRA~/1U23NeVwA8e3SiUO0KLV3rmQKaDdRpuoL1L0yfNgHZmSr0glc-QTHa3rdmZYQpI_4YF1fhNc8nLBFzWdVKqf-B7m0xzG3LdAwKISUMsU7EDzqYHR53_kjj4pIeFPaOif0FRhWxfRQDqzqh3ks2X8xDMF7PvFhX4KDQqFxH4T2blcu-WqX2J8P6X_Ml_0da0QO4tBb80UTR-RzbnH5jw-3k1XClhZFmSHV62V07I4e-EysVKFD2X9yDTFC5D9bXRBTDUB-_-x06qgiuqa9GSDudvj9VdhUx4zcDvHLgUc2qpWfBeKsAEbOKthuI_oAKXS" 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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<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/InFhdQla-T0DN4wpOqGmuw~~/AAQRxRA~/jI4Qh5foV7A4jADqybqY6tccqXrCpPdtmPw1QxlbFgR6BevX2kcBEtLaL6Q4BH28nQtUVG8fpre87Ug5n8DxlMxCZmVAQUlHhgfBjdaNyE8xFRDKCO5tMqS_DQHSS1Zokgj81Qs1JWuUEQ6-SEE-mmzdJMYBkEjtFE36u6yx2z-9jqxWFIstpKQa_DwvzMhVCPrzWrn_21Omr_xwrPRrM0AL7_rRdzjhyqxp1lllyDOhWjHFsby-pXm3CJGAgJhz_mwOHobpo1_XcKaEzUIOIxeka4qgYQkBFWFH0wDnPhDCNlPms0B-lHSMNZ-4v77hfP6oY78jDxCo9qQU-ytucb1IAvQtwqyjA7H6xb6Fp1feXlrPZoCz8sObi1l7qMF2" 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/wgz5bnvxFo7dfqbI07-Zqg~~/AAQRxRA~/jI4Qh5foV7A4jADqybqY6tccqXrCpPdtmPw1QxlbFgR6BevX2kcBEtLaL6Q4BH28aYd86x5Yj3NmEYmbMYsCJNYlMgeZhD_MBl5cH9CMwZvtRpomcgakUHLjZfm_yI2xl2Tb6EhFQhig8II64U93MmlaHWhqB4znUMt-Ip4iVMdsj-v5IN0Xq-GABxYyKCdIeEc_WD1Lh_qvGhd3K1_RjxPF8j5uxQT0f7ubwn7bFU3uC9spvwBInJMEgZfuhec92C9VTNre91jICxBhHzhyhDCTD1askfL4Gky93LbK8yjHgUnSmDsqfbqnj7B4YoOk3oq2oxZ9DAchawoXaNB9Ah7bF7zTyzDjixB46se5NktoTGXMFBLipvPjloW_LrdW" 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/LBiQhUgJPuHYYv_PQetuqg~~/AAQRxRA~/jI4Qh5foV7A4jADqybqY6tccqXrCpPdtmPw1QxlbFgRwWy9w9b0IUmLjoHp2b2zLQb4LfVnos3zjTWLERrH5gW-1FOdHLFiCBN0GbCm3gCe3CDVVjZW2Q1aL9J0Sr9QRtr7s3243D31FwXGGDtigdBwSzf0Egk6XmtFUITuIRAhDVA6O4rTJabcPb7OFQZSb0lQ8p6IKF_hzvzdwE9tmpCGW0IZix4qpbUj1cM85o5MF9Lt9sfsyLHrctLmrxuH9TU3Vy_sxLaRtZDHgMsYJvk-uwPvf9cO9GcAm_e8_FKo5LBA7QhOYVo5wZzq99Lc3EutVwGTJgcVK18tXwqT-BlNyynhMAYNDPURuSlYVWoe0b_lCS-F41n6qB9fxGN_H" 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/d1/68e5de739144abaaf62327bbb6fd64/GCC-Coursera-thumbnail-DA-prepare-data-hallie.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/isdHD5SMF_YZG4mtb4x0Bg~~/AAQRxRA~/jI4Qh5foV7A4jADqybqY6tccqXrCpPdtmPw1QxlbFgRwWy9w9b0IUmLjoHp2b2zLTVcJka3tT2cSvhzSPZQe8fBTS_WydKnTMIctb6MLo7n9xS-cumM0LoVNc7Bus2bQ2_3Out3L0NbJXVmN5uU-SNUwfDX_QG37gDSIStk0O0nFN3kdONGXqxdXR14jMbcN82VXZUMJrqZM-6ug8M02DSaag7mgE0eI5uG5il7bA_ezfdMcx-RmDzX7jrdEV819_i8hrvnPKit0U0NnkK4cZnd6c3_P-fnAaDpaEH960oR_PFIVnqBM84Twamnshyv5Cw3hqH-a_qpNLmBaoLeL1YrbtkKVoKi3Lzx0rCov9GHL6KsSGxesCFkjiAdUwRan" 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;">Prepare Data for Exploration</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/uWZQ36tKXsGG4fTeSHtFYA~~/AAQRxRA~/cjzJUyoraRjWcNH7JpLrzzfrNAmNKbxcw0F7VnfKblEZ4-rhXvjvH88NVG483BZLDlbQKU10Kkql4CifnnJekZTmGyw8WtCFKnj9Qrfek3douW3o76gALtsYxtIS1esvyVOlwT-adCYXZx56bxhmfepskWU6XPz1Dd5STF3tw6hS8A4Qj7VSCf2mWciR5C1DgJDbQq1DKEYfGrJcpWGEXpxo9NG5bk1IbcwRRgpUHvSeSNOkLDN7LC-U_ATFwf6P13pVms_8isLmUU09YJua7w46WchfN7INc5qcrQqiKH9MQlwmEwLwPdV2TKxN4FnBnYA9h10pRDufr9EajVxBchMKsojG1GdgMs7YA2CbJzGmtpi4Se0ZAI2RT4j_s7dlC67kn5bkul8JCwuzG2ZUwTFpxMapoGCmccihRqIHMIQ~" 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/jj01mnrspJJkgY2x8znivg~~/AAQRxRA~/cjzJUyoraRjWcNH7JpLrzzfrNAmNKbxcw0F7VnfKblEZ4-rhXvjvH88NVG483BZLDlbQKU10Kkql4CifnnJekZTmGyw8WtCFKnj9Qrfek3eY6BS53cL1B06rudR7-J7jWGo4uPCbkBRbalJ6RkCPWNtDsJ-DE2NvyWTErgMf3KAekYRBztqXSq8ar8I-ounY7cXZypA0BBLpRDv-80d0XclU0gW6nq1Ifk9N9L2lhrXGFKrIoRl-FUHFMcHTWbEzwXdpCorbCECwOXeMd_4TqCujjYdmGCVAE57GTd9JAZPWplOga0EGsQjURNQzVxLngEYzb-jnQraxXGHZKU_c9WhYJhi_FHuL3oI_8TcI7cmdo-HlcoMoiGLSeEKqKOqQpQdGA_AihanpWRLxzG2YLqaMxj47SmCwsgbefGozDME~" 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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<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/xA1rFd7iL2tW7g4Wd1qzfQ~~/AAQRxRA~/M1uKtPYm-tOdaTv_YpLULEviW7sC3ToaDN0GNBFuUMzUEY_kTLNThVIBLt8LdICkALPElVRQ6OpFOBlaA-fLl77OT5C1ilDaAYdSlhkLf0F0-x8DwfMYyd2e3YJ4_xcGA03xotgXULVjc5avYlmC9LtRA6LjrnMp3ec0KFAa7_zABXftGgx_zvFa2Nt80LCKdAV2BL2G2nhnUOhpYiUyhNnwX_rYegVq8bsYJLfjJff3EJjvYHprSJU6lm1DrOwg3KgtfG1ohTVhe7hLn3qvybhaOnwhuENC3cvqd9fLmuQ7mBX3cKhGdVhmPiIrvkQjiqJE-EVxEozWRvoh0qxNcfhKkThRZQEZjHj9DaV01wg24vFxYw8ilDogL4YyT4GrtjJmbsWIpVULcYMjTtYvH1NyR6TXVtSGxqP2PUcIh1pj_C717JLGMSbymz6fD3-f" 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/22/5aea8d8f5146b58bdaff431ec792aa/Introducing-Data-Analytics-and-Analytical-Thinking.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/xKWZFm-rfwNo2q0tKwVBKg~~/AAQRxRA~/M1uKtPYm-tOdaTv_YpLULEviW7sC3ToaDN0GNBFuUMzUEY_kTLNThVIBLt8LdICkALPElVRQ6OpFOBlaA-fLl77OT5C1ilDaAYdSlhkLf0F0-x8DwfMYyd2e3YJ4_xcG3UrkZ1qI_twkizZAV0KyzHLpcS2N5luGLLIstz98jp73CLt_XguNKgVp5zjMn8i_X06VY0ugfte8iBgkkwqHrJEfhGYHgOAng8jN0Uq5xtmLEuF_xYF8E9pWSDKyO5_Z03srYaMkwTYHJ7NyzIOx9NGsdE7HMeyYrMqZeO--WtboxnhfwvxQr0vcj14G50RR7sgsTFKJAhyc8kv5ADZH4sJFNpvYduxr9QzslmmeOvXbXwsuufLDPohY3HD3dZ7lp3qpMQsP6vzije0nSFuiC68UMqQzqJh_7nV39VhMFHaRvihsK9k4-BBRIvS9-jhf" 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;">Introducing Data Analytics and Analytical Thinking</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/SGCTLLFVm1PG41iF8638ZQ~~/AAQRxRA~/i16vSm32MXzImhO4b7FZny3lipMoNdOgui_abZVOzoXeT1aYOKF7VzT3mEVqnfeby3PxtB51BNHKFDP6zJZzppdo-bmmOnpKFqaaZBSFlU7cMSK9ZTZqygPmiRDR0SQQI84Q20bQe_78YJCqx5mcE9fqATGUBGbPgSuoFitrFJzl-LjRw680J5fjAV4FqScMorsgyqwEhADEypS_tLiBqIZVd1MZtJSSi7gSe0ywu9LF-hTV1OgaXq6Y7QbpzGYAk_GXOwUVbMp0Ch1BR1I4qMWbEMH0GxvbT_6LaLedfbL8_pqpRTgZQSi7V2Hs5W9oKjptbp0NV2ninFp9ETIpwz80qT-GG_EalsyytknFNMtTORbVZ_LP823tvT9445Nc" 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/GTwfUKI7Tv49p8wGmDXRzA~~/AAQRxRA~/i16vSm32MXzImhO4b7FZny3lipMoNdOgui_abZVOzoXeT1aYOKF7VzT3mEVqnfebXnTCIqbhYzQQIFMDV3U37E4QklE49aMeDqQYpC1DL3tvO12O4CEYbwDH8UYWNZwEsAqXNAGJjUakSvvbBzxbbs8p6-0oEw4m38gwzmIaV_EWqL_COmqqg-OyKMxph-ShV3fISyz-G_zGwzYRJvnDzsf1qJi4-WRF5H9yNJDudWRtfF9jSeSNEAxb5nNoZess0VHFh9WUqTgng4SHDqnSb7VKolAHxZ45UFrEOrCSOH1nVtDFFx9gwr0GW4_-vjI_-nv7ddfRj4Rbamwr6euYGgE4UA3YFAnXgXKdbiaOkQFba4EdO-ME4T_injybwW5R" 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>
<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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<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/WLamZ7S_xvmyH-W3N7Khpw~~/AAQRxRA~/jI4Qh5foV7A4jADqybqY6tccqXrCpPdtmPw1QxlbFgR6BevX2kcBEtLaL6Q4BH28buvO4LKhJsPi6ggrnpI8ujckuT0PeQNLFVfwADE5GWyCbTf98r8OCRKM3rmymx_cpWEagoSePjAY4q0CSbWcJltnX5OGkgk50nsDjL0FXbfD-vGiDDfkbukRbcv2MReE4KavmxGB65YkNKWQGd48bKE868E7AKRxMNPyUUp6CcYCG_nVjxyE7_gJjDlDKK9ii8nHQGKmpIwegIvYjlyE-jBgn-16A9GmQvQigZWBAbZveENma1iPPTQpVOdlFKQ0QMKBauYmn9imSccWrDKNYoAdg-slKPHjdaCn_GDmAt5sAuxkh0O6899bxg00k4LW" 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/CIzg-tRUmChMIHBx-FvxiA~~/AAQRxRA~/jI4Qh5foV7A4jADqybqY6tccqXrCpPdtmPw1QxlbFgR6BevX2kcBEtLaL6Q4BH28RsESNBCJ4BbIjbVO-9kFdX9HCJqyfvjJ_HFuYowTPUUWm1MWDm22yPekkzVjvtvlQKF5PP4AdC1mhEO55OdwgQVlZ-C8ZAhbQf-Zu1OpQKI9TRQt95iRhAp6j38k4dSSOjjJvoMuCNRry2zzInx64yZV-gK6D_ncVZ55YoF-DuqngKWdq_l4763K7ZTm73C8kq2-4BET8Q-kL8jbFq4FNzHzL7AuOmmdTuXUDcNqaq8kWDuoiq1DhchnWaCfFPO4D1xvYS1k2M1MYKvmsn31vr06-M4vzu9hr4eEP2b0dGX1Qht3KtaXd-isk90nPjRq" 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/vdxPFQztEC5dYFa1HhBjuA~~/AAQRxRA~/jI4Qh5foV7A4jADqybqY6tccqXrCpPdtmPw1QxlbFgRwWy9w9b0IUmLjoHp2b2zL6rPKGN2nePWbEOpl6TIcDxuiXvrx2XWvlugnJAhPCJVeemGSc5EmnU-YfTG_OAFfoYBSf5BmSNKmWF4rLiDXQmu207u0yeQQ_b-EOlzLDYuFcct7XRGi4VKK6BBJVcGwUFoHdNTfvU0gin4zwGmAd5wCCWohcqMkP1lQ31u5Hzx7LcApgUpSZExn0pebzjU4udsHSjsYNBVsQ4N1aneWLN_x2oRMn4SAp0IBd-m6BH-aiQQYG0MSbI7DOP63lPnDrTqBlbe9ysGJIkjfsZaKpB-hQ1NdA1ltUM3ox68BvXHD975ct2X_IhX0U0sWkHmq" 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/d1/68e5de739144abaaf62327bbb6fd64/GCC-Coursera-thumbnail-DA-prepare-data-hallie.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/aIdwJgSq-VjIldLZd_wBUQ~~/AAQRxRA~/jI4Qh5foV7A4jADqybqY6tccqXrCpPdtmPw1QxlbFgRwWy9w9b0IUmLjoHp2b2zL3-oL1HCe2TCfTv9a3zoUSJjkOQdomL-JWkG-TUHyHiN7FoBbp5ifTtvNBXdSCxJhgHi-WszT54oztdR59gDYHtqinIjcGPvDvMmp6pNupeeluIucVu2N-H7mnhjSf1BV4tZImChsh_GW0fTnHrtnQFnvN1_ELp5dHfz-QnTnhvvV0ftcpYOb4SDl6EYaJPWC_RdkZCkC5_hW-JhClQqzDPEOLACKvV6pMb-izmW-Mgxs0TN18ZXT-fErsRZ-o7bG12dhDD542JKNlgU8aIyqrbDK_f4K3DS4dIb3szd6slR9TrTsW507WBwceHbBFExq" 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;">Prepare Data for Exploration</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/VvPVGd7b5ZvMtpQgoOLtKw~~/AAQRxRA~/T8lubmj9ZMyyXV1TZ0_FXCL5XmrFu-PNCT4zkuRf8RUEZqgPOg4rAr6eQsTpLsuNK7LQVdeu1pbr0yC_HolL1u45tnL825hyFTFLrM9ES5Bu4AJIpRP_QcRUYiQ0Ct_AlBMCRZNyuLfPWUvyK-ZcziHZfJ04baHdaAu_PVAk1A9jlWABLIsZ7wL5Lhbw4EvbjDJu7wlwWZxvrCNjvGEcgDS3QBR4sPCopOG0xXe2K5u4S5XjIlcTcA_ySulLapINEpIw5l4IkPqU4Z9CdobzLGVUfcKlxmyMEIbcPW6McZ7Ty_cAcsCTLQnK8KH8FO_CEDnnzVL0YrDfh0jyetp0lKaLakDWdecsjgFdhtix5nMX_tlAkqAi8AcKtT33qCA97PCwUTdCN6SXHpgE1Aa1gw~~" 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/32GiZhOhi4lwVTdBakFkeg~~/AAQRxRA~/T8lubmj9ZMyyXV1TZ0_FXCL5XmrFu-PNCT4zkuRf8RUEZqgPOg4rAr6eQsTpLsuNK7LQVdeu1pbr0yC_HolL1u45tnL825hyFTFLrM9ES5BRSANCNQJGRrg373FWqkTIdI5VlxH28Q3REOPdALbFN1MEDWf_Ez7xwEL_MKwmQdvjRm-2YaN58CwYJQgFjO499O15-wbH1M50PeaZCNnqaIIjeb260Xwk3iopHK7K8fFWre8pzMx-wWyNtU37soVA6EKyluut5wRALnTDJ95tcAl5705C7IaTfZlhBCGt8EA7Ah2nO8WvUwhWrMFdDSfEZGR6733Us2239gPo2cJmadUeps5amhRVz-KN8v-NUVWLyB6MYK09q7HYeniERD6v0FJfvCgsQZ6hMct-anwlTw~~" 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>
<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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