Skip to main content
Main menu
Includes navigation links and user settings
Browse products
Sign up
Log in
Cohort 121 - Da/Ds - AT
Course content
45 sections | 106 lessons
Expand all sections
Link. passcode & updates section
1 Lessons
Introduction and Importance of Data Science
2 Lessons
Data Analytics and BI Tools - Introduction to Python - Variables and Rules to define a variable - Data Types - Arithmetic Operators
2 Lessons
Operators in Python - Conditional Statements (if and else)
2 Lessons
Bitwise Operators - Elif statements - Loops Basics - While loop with code
2 Lessons
Bitwise Operators - Elif statements - Loops Basics - Range Function - While loop with code - For loop with code - Break, Continue and Pass Statement
2 Lessons
Data Structures in Python - Strings in Python - Methods for Strings - List
2 Lessons
List, Tuple, Set
2 Lessons
New section
2 Lessons
- Dictionary - Functions - Lambda Functions
2 Lessons
User Defined Functions - Arguments and Parameters - Default, keyword and Positional arguments
2 Lessons
- Exception Handling - Modules in Python - Math & Random modules - File Handling in Python - Excel Basic Functions
3 Lessons
LOOKUP, VLOOKUP, HLOOKUP, XLOOKUP - Pivot Table - Reports & Data Analysis in Excel
2 Lessons
Pivot charts, Filters in Pivot, Data Analysis, Correlation, Regression, Co-variance , Moving average, Descriptive stats
2 Lessons
- Data Visualization - Storytelling - Simple Dashboard - What if Analysis(Goal Seek, Scenario Manager, Data Table) - Power Query - Transformations on a dataset using Power Query - Live Connection and Analysis
2 Lessons
- Introduction to Statistics - Descriptive Statistics - Hands on in Python for Descriptive Stats - Started with Inferential Statistics
2 Lessons
Inferential Statistics - Probability Distributions - Hands on practice for stats - Started with Pandas - Series with Hands on in Python
2 Lessons
Pandas - DataFrame - Different functions in pandas
3 Lessons
- Finished Pandas - Started with Numpy
2 Lessons
- Finished Numpy - Data Wrangling - Data Analysis using Python
2 Lessons
- Different charts in Matplotlib and Seaborn. - SQL Installation - Introduction to SQL - DDL, DML commands
2 Lessons
Order By, Distinct - Where Clause, Comparison Operators, NULL - Logic Operators - Aggregate Functions: COUNT, MIN, MAX, AVG, SUM - Group By - Joins - Subqueries/Nested Queries/Inner Queries
2 Lessons
- Window Functions - Views - Stored Procedures - Data Analysis & Data Wrangling in MySQL - Installing in Power BI
2 Lessons
- Filters - Hierarchy, drill up/down - Different charts in PowerBI - Cards
3 Lessons
- Understanding Power Query Editor - JSON Files & Binary Formats with Power Query - Column Splits and Filled Up / Filled Down Options - Combine Queries - Merge Join and Anti-Join Options - Combine Queries - Union and Union All as New Dataset - Connecting MySQL to PowerBI
2 Lessons
- DAX Expressions - Creating Dashboard
2 Lessons
- Finished Dashboard - Data Modelling in PowerBI - PowerBI Deployment and Cloud - Theory - Introduction to ML - Linear Regression - Implementation of Linear Regression
2 Lessons
- Polynomial Regression - Logistic Regression - Ridge & Lasso Regression - Decision Tree theory
2 Lessons
- Random Forest theory and code - KNN theory and code - Started with Clustering
2 Lessons
- K-means Clustering - Code for K-means Clustering - Hierarchical Clustering - Code for Hierarchical Clustering
2 Lessons
- POS tags - Tokenization - Stemmatization - Lemmatization - Stop Words - Matching & Vocab in NLP - Sentiment Analysis
2 Lessons
- Introduction to Deep Learning - Neural Network - Activation Functions - RNN - LSTM
2 Lessons
- Introduction to AI & Cloud Computing - Overview of Cloud Segments - Overview of Cloud Deployment Models - Overview of Streamlit - Car Price Prediction web application project
2 Lessons
- Model Deployment - Pickle and Joblib - Introduction to Github - Creating Github Account - Git Installation - PowerBI project Discussion
2 Lessons
- Repository Creation - Maintenance - Tags in GitHub - Uploading Files in GitHub - Commit Changes - What is SDLC? - Different methods in SDLC. - What is the difference between Waterfall and Agile? - What are the advantages and disadvantages of Agile?
2 Lessons
- ML Concepts Revision - Doubt clearing session
2 Lessons
11th August
2 Lessons
12th August
2 Lessons
13th August
2 Lessons
14th August
1 Lessons
15th August
3 Lessons
26th August
3 Lessons
Resumes building and Sample Interview Questions
16 Lessons
Further Placement Assistance Process
1 Lessons
6th September
2 Lessons
₹100,000
one-time purchase
Buy now
