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Cohort 125 - (Da/Ds/GenAi - PC) (evening)
Course content
53 sections | 121 lessons
Expand all sections
Link, Passcode & Updates Section
1 Lessons
Introduction to Data Science
2 Lessons
Introduction to Spreadsheet and Data Preparation Techniques
2 Lessons
Functions
2 Lessons
Advanced Functions
2 Lessons
Lookup Functions and Pivot Tables
2 Lessons
Pivot Tables and Charts
2 Lessons
What if Analysis and Introduction to DBMS
2 Lessons
SQL Commands
2 Lessons
SQL Basics
2 Lessons
Aggregate Functions
2 Lessons
Joins in SQL
2 Lessons
CASE Statements in SQL
2 Lessons
Date Functions and Set Operators in SQL
2 Lessons
Sub-Queries
2 Lessons
CTEs and Views
2 Lessons
Window Functions
2 Lessons
Keys in SQL, Normalization, Query Optimization, Introduction to Power BI
2 Lessons
Power Query Editor
3 Lessons
Advanced Power Query Editor
3 Lessons
Data Modelling
2 Lessons
Data Visualization
2 Lessons
DAX
2 Lessons
Advanced DAX and Advanced PowerBI features
2 Lessons
Python Data Types and Python Operators
2 Lessons
10th August
1 Lessons
Strings in Python
2 Lessons
Conditional Statements and Loops in Python
2 Lessons
Data Structures in Python
2 Lessons
Functions in Python
2 Lessons
NumPy
2 Lessons
Pandas
2 Lessons
Advanced Pandas and Basics of Visualization
2 Lessons
Matplotlib and Seaborn
2 Lessons
Seaborn+Plotly+Intro to ML
2 Lessons
Framing a Problem Statement + Data Pre-Processing
2 Lessons
:Data Pre-Processing
2 Lessons
Feature Engineering
2 Lessons
Linear Regression, Multi-Linear Regression, Polynomial Regression
2 Lessons
Regularization, Evaluation Metrics, Logistic Regression
2 Lessons
Decision Tree, Random Forest
2 Lessons
AdaBoost, GradientBoost, XGBoost, SVM, KNN, K-Means Clustering
2 Lessons
Gen AI Session
2 Lessons
Gen AI Session
2 Lessons
Gen AI Session
2 Lessons
Gen AI Session
2 Lessons
11th October - Deep Learning Session
2 Lessons
12th October - Deep Learning session
2 Lessons
Career Building Sessions
3 Lessons
1. Excel overview 2. Basic Formulae 3. VLOOKUP, HLOOKUP, Pivot Table, Pivot Chart 4. If-else in Excel
3 Lessons
. Correlation 2. Covariance 3. Moving Average 4. Regression 5. Descriptive stats 6. Goal Seek 7. Scenario Manager 8. Data Table
2 Lessons
27th October
1 Lessons
Resumes building and Sample Interview Questions
16 Lessons
₹100,000
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