100 Days to Become a Job-Ready Data Scientist

This Data Science Full-Stack Live Course equips you with the core skills in Python, SQL, Power BI, Machine Learning, and Deep Learning. Through interactive live classes, you’ll learn programming, data handling, visualization, and modeling while working on real datasets and projects. By the end, you’ll be job-ready for careers in data science and analytics.

Curriculum

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  • 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

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100 Days to Become a Job-Ready Data Scientist
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