Master Data Career Assured with Python, ML, AI & Gen AI
5 Months | Industry-Oriented | Project-Based Learning. Build strong foundations in data analysis, machine learning, AI, and real-world problem solving.
What You'll Master
Data & Analytics
Build strong foundations in data analysis, visualization, and business insights.
Machine Learning & AI
Develop predictive models and apply AI techniques to real-world datasets.
Industry Projects
Work with practical datasets, projects, and data-driven problem solving.
AI & Development
Build intelligent solutions with Python, ML, and AI frameworks.
🚀 Limited Batch Seats Available!
Get 20% early bird discount + free AI/ML toolkit worth ₹5000
Learn • Practice • Build • Become Industry-Ready
Python & Python Libraries
Python, File Handling, OOP's Concepts, NumPy, Pandas, Matplotlib
Data Science & Machine Learning
Statistics, Probability, Data Science, Machine Algorithms
Advanced Excel
Functions and Formulas, Pivot Analysing, Power Query
SQL
DDL, DML, DQL, SQL Functions, Data Cleaning using SQL
Power BI
DDL, DML, DQL, SQL Functions, Data Cleaning using SQL
Tableau
Data Visualization, Dashboards, Storytelling with Data
Python — From Essentials to OOP's
Essentials
Introduction, Installation, Features, Python variables, Input & Output and Import, Using Pycharm & Scripting, Keywords & Identifiers, Operators, Indentations, Basic Data types: int, float, string, Boolean and Complex, Numbers and String, Tuple and List, Dictionary and Set, Arrays
Pre-Defined Functions
String, String slices, Date, Math, Random and Statistics, PDF Data Extraction, CSV module, Working with Tuples, Working with lists, Working with Sets, Types of Functions, Function Arguments, Global, local and Nonlocal, Modules, Packages
File & Exception Handling
Type of Files, File Operations, Directories, File I/O Attributes, File Methods, Try, Except and Finally, Try else, Custom Exception, Error Vs. Exception
OOP's Concepts
Real Time in OOP's, Access Specifiers, Class and Objects, Methods, Overloading, Overriding, Inheritance, Abstraction, Data Hiding
NumPy & Pandas — Data Manipulation Mastery
NumPy
NumPy Introduction, NumPy Installation, NumPy Arrays, Array Dimensions, Data Types
Array Operations
Indexing, Slicing, Reshape, Flatten, Iteration, Joining, Splitting, Searching, Sorting, Filtering
Numerical Analysis
Mathematical Operations, Statistical Operations, Random Data Generation, Mean, Median, Mode, Standard Deviation, Min / Max
Pandas Fundamentals
Pandas Introduction, Series, DataFrame, Index and Columns, Importing CSV, SQL, JSON, Excel
Data Exploration
head(), tail(), shape, columns, dtypes, info(), describe(), unique(), value_counts()
Data Selection and Cleaning
Selecting Columns & Rows, Loc, iloc, Conditional Selection, Missing Values, Duplicates, Data Type Conversion, Outlier Identification, String Cleaning, Date Conversion
Data Manipulation
Sorting, Filtering, GroupBy, Aggregation, Merge, Join, Concat, Pivot Table, Melt, Apply, Map, Lambda
Statistics, Probability & Visualization
Descriptive Statistics
Population & Sample, Mean, Median, Mode, Range, Variance, Standard Deviation, Quartiles, Percentiles, IQR
Data Distribution
Normal Distribution, Skewness, Kurtosis, Outliers, Z-Score
Probability & Relationship Analysis
Basic Probability, Conditional Probability, Probability Distribution, Covariance, Correlation, Correlation Matrix
Inferential Statistics
Sampling, Population vs Sample, Confidence Interval, Hypothesis, Null Hypothesis, Alternative Hypothesis, p-value, Type I Error, Type II Error
Business Statistics
A/B Testing, Customer Behaviour Analysis, Sales Analysis, Marketing Analysis
Matplotlib
Introduction, Pyplot, Figure & Axes, Line Chart, Bar Chart, Pie Chart, Histogram, Scatter Plot, Box Plot, Subplots, Labels, Titles, Legends, Grid
Seaborn & Data Storytelling
Seaborn
Introduction, Distribution Plot, Count Plot, Box Plot, Violin Plot, Scatter Plot, Heatmap, Pair Plot, Regression Plot
Data Storytelling
Choosing the Right Chart, Visualization Best Practices, KPI Visualization, Identifying Trends, Identifying Patterns, Communicating Business Insights
Machine Learning & AI — From Regression to Unsupervised Learning
Regression
Linear Regression, Multiple Linear Regression, Polynomial Regression — basic, Regression Metrics — MAE, MSE, RMSE, R² Score. Practical: House Price Prediction
Data Science Fundamentals
Introduction to Data Science, Data Science Life Cycle, Data Analytics vs Data Science vs Machine Learning, Types of Data, Structured & Unstructured Data, Business Problem → Data Problem, Data Collection, Data Preprocessing, EDA, Feature Engineering, Model Building, Model Evaluation, Business Interpretation
Machine Learning Fundamentals
Introduction to Machine Learning, AI vs ML vs Deep Learning, Supervised Learning, Unsupervised Learning, Training Data & Testing Data, Features & Target, Model Training, Prediction, Overfitting & Underfitting, Bias & Variance, Train-Test Split, Cross-Validation
Classification
Logistic Regression, K-Nearest Neighbors (KNN), Decision Tree, Random Forest, Classification Metrics — Accuracy, Precision, Recall, F1 Score, Confusion Matrix, ROC, AUC — basic. Practical: Customer Churn Prediction
Model Evaluation & Selection
Train/Test Split, Cross-Validation, Model Comparison, Hyperparameter Tuning — basic, Grid Search — basic, Model Evaluation
Unsupervised Learning
Introduction, Clustering, K-Means Clustering, Choosing Number of Clusters, Elbow Method, Cluster Interpretation. Practical: Customer Segmentation
Data Preprocessing for ML
Handling Missing Values, Duplicate Data, Outlier Treatment, Encoding Categorical Variables, Label Encoding, One-Hot Encoding, Feature Scaling, Standardization, Normalization
Excel — From Fundamentals to Dashboarding
Excel Fundamentals
Introduction to Excel, Workbook and Worksheet, Rows, Columns and Cells, Data Types, Formatting and Number Formats, Sorting and Filtering, Excel Tables, Named Ranges, Freeze Panes, Basic Data Cleaning
Mathematical & Logical Functions
SUM, AVERAGE, COUNT, COUNTA, MIN, MAX, ROUND, IF, IFS, AND, OR, NOT, IFERROR
Conditional & Lookup Functions
SUMIF, SUMIFS, COUNTIF, COUNTIFS, AVERAGEIF, AVERAGEIFS, VLOOKUP, HLOOKUP, XLOOKUP, INDEX, MATCH, XMATCH
Text & Date Functions
LEFT, RIGHT, MID, LEN, TRIM, UPPER, LOWER, PROPER, CONCAT, TEXTJOIN, TEXTSPLIT, TODAY, NOW, DATE, YEAR, MONTH, DAY, DATEDIF
Data Analysis & Modern Functions
Conditional Formatting, Data Validation, Remove Duplicates, Find & Replace, Flash Fill, Advanced Filter, What-If Analysis, Goal Seek, Scenario Manager, Solver, Dynamic Arrays, FILTER, SORT, SORTBY, PMT, PPMT, IPMT, RATE, NPER, PV, FV
Power Query, Pivot Tables & Dashboard
Power Query, Importing Data, Connecting Multiple Data Sources, Pivot Tables, Value Field Settings, Grouping Data, Calculated Fields, Pivot Charts, Slicers, Timelines, KPI Creation, Interactive Reports, Dashboard Layout, Business Reporting
SQL — From Basics to Advanced Analytics
SQL Introduction
What is Data?, What is Database?, DBMS vs RDBMS, MySQL Tables, Records, Fields, Primary Key, Foreign Key, Unique Key
SQL Languages & DDL/DML
DDL, DML, DCL, DQL, TQL, CREATE, ALTER, DROP, TRUNCATE, INSERT, UPDATE, DELETE
Select, Filter & Joins
SELECT, WHERE, DISTINCT, ORDER BY, LIMIT, AND, OR, NOT, IN, NOT IN, BETWEEN, LIKE, NOT LIKE, IS NULL, IS NOT NULL, Inner Join, Right Join, Left Join, Full Join, Union
SQL Functions
Aggregate Functions — Sum, Count, Min, Max, Avg; Numeric Functions — Round, Ceil, Floor; String Functions — CONCAT, LENGTH, UPPER, LOWER, SUBSTRING, TRIM; Date Functions — DATE, YEAR, MONTH, DAY, DATE_FORMAT, DATEDIFF; GROUP BY, HAVING, Aliases
Subqueries, CASE & CTE
Single Row Subquery, Multiple Row Subquery, Nested Queries, Correlated Subquery, CASE, WHEN-THEN, ELSE, END, CTE Introduction, WITH Clause, Multiple CTEs
Window, Ranking & Analytical Functions
Window Functions, OVER(), PARTITION BY, ORDER BY, ROW_NUMBER(), RANK(), DENSE_RANK(), LAG(), LEAD(), Running Total, Moving Analysis
Database Objects
Views, Basic Stored Procedures, Transactions, COMMIT, ROLLBACK
Power BI — From Data to Interactive Dashboards
Power BI Introduction
Power BI Desktop, Interface, Report View, Data View, Model View, Data Sources — Excel, CSV, MySQL, Import vs DirectQuery
Power Query
Data Import, Profiling, Cleaning, Change Data Types, Remove Duplicates, Handle Missing Values, Replace Values, Split Columns, Merge Columns, Merge Queries, Append Queries, Pivot, Unpivot, Data Transformation, Query Refresh
Data Modelling
Tables, Relationships, Primary Key, Foreign Key, Cardinality, Cross Filter Direction, Fact Tables, Dimension Tables, Star Schema, Date Table, Hierarchies
Data Visualization
Cards, KPI, Table, Matrix, Bar Chart, Column Chart, Line Chart, Area Chart, Combo Chart, Pie/Donut Chart, Scatter Plot, Treemap, Waterfall Chart, Funnel Chart, Map Visualizations
Filters & Interactivity
Visual-Level, Page-Level, Report-Level Filters, Slicers, Drill Down, Drill Up, Drill Through, Tooltips, Bookmarks, Buttons, Page Navigation, Conditional Formatting
DAX & Time Intelligence
Calculated Columns, Measures, Basic DAX, CALCULATE, FILTER, ALL, ALLSELECTED, SUMX, AVERAGEX, COUNTX, IF, SWITCH, RELATED, Date Table, YTD, MTD, QTD, Previous Year, YoY Growth, Running Total
Power BI Service
Power BI Desktop vs Power BI Service, Creating/Accessing Power BI Service, Publishing Reports, Workspaces, Sharing Reports, Scheduled Refresh
Tableau — Data Storytelling & Advanced Visualizations
Tableau Introduction
What is Tableau?, Why Data Visualization?, Unique Features, Tableau Overview & Architecture, File Types & Extensions, Data Connections, Tableau Data Server
Chart Options
Combined Axis, Combination Charts, Geocoding and Geographic Mapping, Scatter Plots, Text tables and Highlight tables, Heat Maps, Histograms, Pie Charts, Bullet Charts
Joins in Tableau
Types of Join, When to Use, Joining, Data Blending, When to Use Data Blending, Joining vs. Blending, Creating Data Extracts
Advanced Charts
Pareto Charts, Waterfall Charts, Gantt Charts, Box Plots, Sparkline Charts, Density Charts, KPI Charts
Work Smarter. Analyse Faster. Build Better Insights.
ChatGPT
Data analysis, code generation, insights & reporting.
Gemini
Data exploration, analysis, summarization & visualization.
Microsoft Copilot
Excel analysis, data modelling, automation & productivity.
Perplexity
Real-time research, trend analysis & data exploration.
Canva AI
Visualizations, infographics, reports & presentations.
Notion AI
Organize data, create reports & manage workflows.
DALL·E
Generate data visuals, charts & creative infographics.
GitHub Copilot
Write and optimize Python/SQL code faster.
Industry-Recognized Credentials
Google Data Analytics
Professional Certificate
Microsoft Power BI
Data Analyst Certification
Tableau Certification
Data Analyst
IBM Data Analyst
Professional Certificate
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