Example Curriculum
Link, passcode & update section
Available in
days
days
after you enroll
Induction class & Python installation
Available in
days
days
after you enroll
Introduction to Data analytics & starting with Python Basics
Available in
days
days
after you enroll
Variables and operations in Python
Available in
days
days
after you enroll
Excel class notes and Excel Project
Available in
days
days
after you enroll
Excel Assignment (Assignment 1), Operators in Python, Conditions in Python
Available in
days
days
after you enroll
Loops (For and While), Range and commands (Pass, Break)
Available in
days
days
after you enroll
1. One line conditions 2. One line loops 3. mini project in conditions and loops 4. Strings - part 1
Available in
days
days
after you enroll
Strings - 2 List Tuples
Available in
days
days
after you enroll
Dictionary Sets Functions in Python - Part 1
Available in
days
days
after you enroll
Functions in Python Modules in Python
Available in
days
days
after you enroll
1. Exception handling 2. Class and Objects introduction
Available in
days
days
after you enroll
Database Session 1 (Introduction to database and SQL)
Available in
days
days
after you enroll
1. Create Schema 2. Create, Alter, Drop tables 3. Primary Key and Foreign key 4. Insert into table 5. Delete data from table 6. Import data using csv
Available in
days
days
after you enroll
1. SQL Query Where clause 2. Assignment 2: Python 3. Assignment 3: SQL
Available in
days
days
after you enroll
1/ Database last part: Aggregate functions, WIndow functions, JOINS, Stored Procedures, Temporary tables, Views, Normalizations, Dimensional Modelling 2. Introduction to Statistics
Available in
days
days
after you enroll
1. Types of data 2. Measure of central tendency
Available in
days
days
after you enroll
Data analysis with: 1. One variable 2. Two variable
Available in
days
days
after you enroll
1. Analyzing 2 datasets: Numerical v Numerical 2. Box plot 3. Skewness and Kurtosis
Available in
days
days
after you enroll
1. Hypothesis 2. Z stat 3. Chi squared test
Available in
days
days
after you enroll
Probability Distribution
Available in
days
days
after you enroll
1. Array 2. Numpy: creating 2 D array and basic operations
Available in
days
days
after you enroll
1. Numpy: 2 and multi diamensional dataset 2. Numpy application in linear algebra problem 3. Pandas: Creating dataframe from various sources 4. Adding Rows and Columns to existing DataFrame
Available in
days
days
after you enroll
1. Pandas filter 2. Pandas join 3. matplotlib plots: Boxplot, Bar graph and stack bar chart
Available in
days
days
after you enroll
1. Basic data analysis with iris dataset 2. Understanding imbalanced dataset
Available in
days
days
after you enroll
1. Balancing the dataset using Pandas 2. Power BI Introduction to Data Transformation and Visualizations
Available in
days
days
after you enroll
1. Power BI Visualization and Dashboards 2. Assignment
Available in
days
days
after you enroll
1. Data Modelling 2. Data Transformation
Available in
days
days
after you enroll
1. DAX in Power BI
Available in
days
days
after you enroll
1. Python script to load data in Power BI 2. Python script to perform preprocessing in Power BI 3. Visualization using columns from different tables (related) 4. Introduction to Tableau
Available in
days
days
after you enroll
Power BI Slicers Power BI Filters Row Level Security in Power BI Introduction to Report Builder
Available in
days
days
after you enroll
1. Visualization using Tableau 2. Data preprocessing using Natural Language Processing (NLP)
Available in
days
days
after you enroll
1. Advanced Excel 2. Reading data from the Database into Python 3. Reading content of a JSON file into Python
Available in
days
days
after you enroll
21st June
Available in
days
days
after you enroll
1. Data cleaning using Pandas 2. Web scraping 3. Project on Data Cleaning 4. Additional practice questions on data cleaning
Available in
days
days
after you enroll
28th June
Available in
days
days
after you enroll
1. Projects 2. Github 3. Doubt Discussion
Available in
days
days
after you enroll
1. Introduction to Machine Learning - Part 2 2. Data preprocessing: Missing values, Categorical values and Scalling
Available in
days
days
after you enroll
1. Data Cleaning for ML 2. ML Process 3. Simple Linear Regression
Available in
days
days
after you enroll
1. Multiple linear regression 2. Logistics regression 2a. Confusion matrix 3. ML projects
Available in
days
days
after you enroll