Data Science
Propel your career and become a data scientist with our comprehensive Data Science Course. Gain expertise in in-demand skills like Python, SQL, Excel, Machine Learning, Power BI, Computer Vision, Generative AI, and more. Dive deep into data interpretation nuances, Machine Learning, and enhance your programming skills to elevate your Data Science career.
Curriculum
- Introduction And Basics
- Operators
- Conditional Statements
- While Loop
- Lists
- Strings
- For Loops
- Functions
- Dictonary
- Tuple
- Set
- 50+ Coding Questions Practise And Assignments
- Data Visualization using Matplotlib and Seaborn
- Uni-Variate Analysis
- Bi-Variate Analysis
- Multi-Variate Analysis
- Managing Data Frames with the Dplyr Package
- Control Structures
- Functions
- Lexical/Dynamic Scoping
- Loop Functions
- Debugging
- Data Visualization in R
- Storytelling with Data
- Spatial Analysis
- Other Visualization Concepts
- 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 Query
- Power Pivot
- Power View
- Power BI Visualizations
- Power BI Service
- Statistics And Maths
- Measures And Statistical Difference
- Hypothesis Testing
- Methods Of Imputation
- Encoding
- Feature Scaling
- Handiling With Outliers
- Supervised Learning Regression
- Unsupervised Learning
- Ensemble Models
- Metrics
- Over Sampling And Under Sampling
- Cross Validation
- Hyper parameter Tuning
- Text Processing
- Feature Extraction And Vectorization
- Advanced Techniques And Models
- Libraries And Tools
- Foundational Neural Network Concepts
- Types of Neural Networks
- Neural Network Techniques and Components
No sub-topics.
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