# Data Analytics (Online)

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**Get Started**

* Are you new to this course: [Course Overview](https://redi-school-1.gitbook.io/data-analytics/self-onboarding/your-course)
* Start your Onboarding: [Get Started](https://redi-school-1.gitbook.io/data-analytics/self-onboarding/get-started)
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### Course Plan <a href="#get-started" id="get-started"></a>

<table><thead><tr><th width="128.9891357421875">Dat</th><th width="182.91009521484375">Date</th><th>Topics</th></tr></thead><tbody><tr><td>Mon</td><td>16.03.2026</td><td>Onboarding</td></tr><tr><td>Wed</td><td>18.03.2026</td><td>Course Kick off</td></tr><tr><td>Mon</td><td>23.03.2026</td><td>Why SQL? Introduction to SQL and Bigquery<br>SQL in BigQuery - Basic functions and Joins</td></tr><tr><td>Wed</td><td>25.03.2026</td><td>SQL - Continuing with Joins and Introducing Looker (Query to graph tool)</td></tr><tr><td>Mon</td><td>30.03.2026</td><td>SQL - Advanced (Date, Aggregate and Window Functions)</td></tr><tr><td>Wed</td><td>01.04.2026</td><td>SQL - Visualization theory and practice</td></tr><tr><td>Mon</td><td>06.04.2026</td><td>Public Holiday - NO CLASS</td></tr><tr><td>Wed</td><td>08.04.2026</td><td>SQL - Recap</td></tr><tr><td>Mon</td><td>13.04.2026</td><td>Intro to Pandas</td></tr><tr><td>Wed</td><td>15.04.2026</td><td>Practice session - Pandas Intro</td></tr><tr><td>Mon</td><td>20.04.2026</td><td><p>Mid-semester feedback (15 minutes at the beginning of the class).</p><p>Pandas Data Transformation</p></td></tr><tr><td>Wed</td><td>22.04.2026</td><td>Pandas Data Transformation &#x26; Joins Exercises<br>Mini Project Kick Off</td></tr><tr><td>Mon</td><td>27.04.2026</td><td>Pandas Cleaning Data / Handling missing data I<br>Mini Project Work</td></tr><tr><td>Wed</td><td>29.04.2026</td><td>Pandas Cleaning Data / Handling missing data II<br>Mini Project Work</td></tr><tr><td>Mon - Thurs</td><td>04.05.2026<br>until 07.05.2026</td><td>Career Week</td></tr><tr><td>Mon</td><td>11.05.2026</td><td>Mini Project Demo</td></tr><tr><td>Wed</td><td>13.05.2026</td><td>AI Assisted Review</td></tr><tr><td>Mon</td><td>18.05.2026</td><td>Final Project Kick Off</td></tr><tr><td>Wed</td><td>20.05.2026</td><td>Descriptive Statistics</td></tr><tr><td>Mon</td><td>25.05.2026</td><td>Public Holiday - NO CLASS</td></tr><tr><td>Wed</td><td>27.05.2026</td><td>Statistics (Joint PDF, Conditional Probability)</td></tr><tr><td>Mon</td><td>01.06.2026</td><td>Bayesian Statistics</td></tr><tr><td>Wed</td><td>03.06.2026</td><td>Final Project Work</td></tr><tr><td>Mon</td><td>08.12.2025</td><td>Final Project Work</td></tr><tr><td>Wed</td><td>10.06.2026</td><td>Final Project Work</td></tr><tr><td>Mon</td><td>15.06.2026</td><td>Online Class Demo Day</td></tr></tbody></table>

### **⭐️ Help**

For help, you can message your Contact Person or post in the Course Channel on Slack.