Both are taught at techcadd. Here is how they differ on level, tools, projects and where each one can take you.
| Feature | Data Analytics | Tableau |
|---|---|---|
| Level | Beginner | Beginner |
| Duration | 3–4 Months | 1–2 Months |
| Who can join | Basic computer use; no programming or technical background required | Basic computer skills; no coding background needed |
| Key tools | Microsoft Excel, Google Sheets, SQL, MySQL, PostgreSQL, Python | Tableau Desktop, Tableau Prep Builder, Tableau Public, Tableau Cloud, Tableau Server, Microsoft Excel |
| What you’ll learn | Module 1: Data Analytics Foundations · Module 2: Advanced Excel for Analysis · Module 3: SQL for Data Analysis · Module 4: Statistics for Analysts | Module 1: Introduction to Data and Business Intelligence · Module 2: Connecting and Preparing Data · Module 3: Building Charts and Visual Analysis · Module 4: Calculations and Analytics |
| Portfolio projects | — | — |
| Career roles | Data Analyst, Business Analyst, MIS Executive | Data Analyst, Business Analyst, BI Analyst |
Learn to collect, clean, analyse and present data using the tools employers actually ask for, such as Excel, SQL, Power BI, Tableau and Python, through real datasets and hands-on projects.
Learn to connect data sources, clean and prepare data, build charts, write calculated fields, design interactive dashboards and present data stories with Tableau.
A counsellor can map either course to your degree, schedule and career goal — one call is usually enough.
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