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Curriculum
- 9 Sections
- 84 Lessons
- 16 Weeks
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- Tableau15
- 1.1Introduction to tableau
- 1.2Connecting to data
- 1.3Data preparation in tableau
- 1.4Basic charts and visualization
- 1.5Intermediate to advanced
- 1.6Dimension vs measures
- 1.7Dimension vs measures
- 1.8Filters
- 1.9Formatting and design
- 1.10Calculated fields & basic functions
- 1.11Dashboards ans stories
- 1.12Data blending & joins
- 1.13Exploring, publishing and sharing
- 1.14Bonus topics
- 1.15Pratice work
- PowerBI10
- EDA10
- Maths for Machine Learning4
- SQL12
- 5.1Introduction to databases & SQL
- 5.2Basic sql operations
- 5.3Sorting and limiting results
- 5.4Aggregate functions and grouping
- 5.5SQL Joins
- 5.6Data cleaning & transformation in sql
- 5.7Subqueries and nested queries
- 5.8Set operations
- 5.9Window functions(advanced but very useful)
- 5.10Views and ctes
- 5.11Data definition basics (ddl)
- 5.12Practice work
- Excel19
- 6.1Introduction to excel
- 6.2Working with data
- 6.3Data cleaning
- 6.4Essential formulas and functions
- 6.5Data cleaning in excel
- 6.6Charts and visualization
- 6.7Importing and & exporting data
- 6.8Using formulas with tables & named ranges
- 6.9Basic dashboard building in excel
- 6.10Practice work
- 6.11Final project
- 6.12Data cleaning in excel
- 6.13Data analysis tools
- 6.14Charts and visualization
- 6.15Importing and & exporting data
- 6.16Using formulas with tables & named ranges
- 6.17Basic dashboard building in excel
- 6.18Practice work
- 6.19Final project
- Supervised Machine Learning6
- Unsupervised Machine Learning5
- Git and Github3
Connecting to data
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