Data Analytics
Dive deep into the world of Data Analytics with this comprehensive course designed to equip you with the skills to analyze, interpret, and draw actionable insights from various data sets. This course covers statistical analysis, predictive modeling, data visualization, and the use of analytics tools.
Curriculum
- Introduction And Basics
- Operators
- Conditional Statements
- While Loop
- Lists
- Strings
- For Loops
- Functions
- Dictionary
- Tuple
- Set
- 50+ Coding Ǫuestions Practice And Assignments
- Numpy
- Pandas
- Matplotlib
- Seaborn
- Sklearn
- Data Visualization Using Matplotlib And Seaborn
No sub-topics.
No sub-topics.
- Introduction
- Operations On Table
- Data Modifications
- Constraints
- Indexes
- Views
- Data Retrieval
- Joins
- Functions
- Set Operator
- Sub Ǫueries
- Stored Procedure
- Advance Sǫl Topics
- Introduction to Power BI
- Power BI Desktop Fundamentals
- Power Query (Data Preparation)
- Power Pivot (Data Modeling)
- Power View (Report Creation)
- Power BI Visualizations
- Power BI Services
- Types Of Variables
- Central Tendency
- Measures And Statistical Difference
- Hypothesis Testing
- Methods Of Imputation
- Encoding
- Feature Scaling
- Handling With Outliers
- Supervised Learning Regression
- Unsupervised Learning
- Metrics
- Live Kaggle Competition
- Hands On Experience On Datasets
- End To End Unique Projects
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