Syllabus
Data Science Curriculum
- Variables & Data Types
- Strings & Methods
- Operators
- Conditional Statements & Loops
- Functions
- Lists, Tuples, Sets, Dictionaries
- File Handling & JSON
- OOP, Lambda, List Comprehension
- NumPy Arrays, Indexing, Broadcasting
- Pandas DataFrames
- Data Cleaning & Transformation
- Grouping, Merging, CSV Handling
- Line, Bar, Pie Charts
- Histograms & Scatter Plots
- Subplots
- Seaborn Basics
- Database & Tables
- Insert, Update, Delete
- Joins, Views, Indexes
- Stored Procedures
- Probability Basics
- Conditional Probability
- Bayes Theorem
- Distributions & CLT
- Supervised & Unsupervised Learning
- Regression, Classification
- Clustering
- Model Training & Evaluation
- Advanced Excel Functions
- Pivot Tables & Dashboards
- Power BI Reports & Visualization
- DAX & Data Modeling
Every Course Includes
- 01 Sunday Mock Interview Prep
- 02 Comprehensive Study Notes
- 03 Real-Time Project Explanation
- 04 HR Strategy Session
- 05 Naukri Profile Optimization
- 06 LinkedIn Mastery Session
- 07 Professional Resume Building
- 08 Daily One Hour Live Class
- 09 100% Online Classes
