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- Learn Data Analyst With Python, Indore
Curriculum
- 13 Sections
- 117 Lessons
- 12 Weeks
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- Python Fundamentals10
- Numpy12
- Pandas12
- 3.1Introduction to pandas
- 3.2Dataframe and series basics
- 3.3Creating pandas objects
- 3.4Data selecting and indexing
- 3.5Data input/output
- 3.6Exploring data
- 3.7Data cleaning & processing
- 3.8Data manipulation
- 3.9Aggregation and summarization
- 3.10Merging and joining data
- 3.11Advanced data wrangling
- 3.12Patrice work
- Matplotlib7
- Seaborn9
- Plotly2
- Tableau14
- 7.1Introduction to tableau
- 7.2Connecting to data
- 7.3Data preparation in tableau
- 7.4Basic charts and visualization
- 7.5Intermediate to advanced
- 7.6Dimension vs measures
- 7.7Filters
- 7.8Formatting and design
- 7.9Calculated fields & basic functions
- 7.10Dashboards ans stories
- 7.11Data blending & joins
- 7.12Exploring, publishing and sharing
- 7.13Bonus topics
- 7.14Patrice work
- PowerBI10
- EDA10
- Statistics4
- SQL12
- 11.1Introduction to databases & SQL
- 11.2Basic sql operations
- 11.3Sorting and limiting results
- 11.4Aggregate functions and grouping
- 11.5SQL Joins
- 11.6Data cleaning & transformation in sql
- 11.7Subqueries and nested queries
- 11.8Set operations
- 11.9Window functions(advanced but very useful)
- 11.10Views and ctes
- 11.11Data definition basics (ddl)
- 11.12Practice work
- Excel12
- 12.1Introduction to excel
- 12.2Working with data
- 12.3Data cleaning
- 12.4Essential formulas and functions
- 12.5Data cleaning in excel
- 12.6Data analysis tools
- 12.7Charts and visualization
- 12.8Importing and & exporting data
- 12.9Using formulas with tables & named ranges
- 12.10Basic dashboard building in excel
- 12.11Practice work
- 12.12Final project
- Git and Github3