Enroll Now
The complete curriculum, open to everyone

Everything you will learn.Every track. Every lesson.

Browse all five tracks, open any course and see exactly what is inside before you begin. Nothing is hidden.

  • 5career tracks
  • 23courses
  • 103modules
  • 998lessons
  • 118hours of content
Track 1 of 5

Data Analytics with AI

Go from spreadsheet basics to full-stack data analysis: Excel, statistics, Power BI, Python, Tableau, R and SQL, each supercharged with AI workflows.

8 courses518 lessons51h 58m of contentCertification
Where the hours go. Tap a block to jump to that course.
7h 43m8 modules63 lessons

Includes downloadable resources: Advanced Excel Dataset + AI Practice dataset

  • Excel Intro 1
  • Excel Intro 2
  • Excel Intro 3
  • Getting Ready
  • Formulas Basics
  • Formulas Sheet 1
  • Formulas Sheet 2-4
  • Formulas Sheet 5 & 6
  • Formatting Sheet 1 & 2
  • Formatting Sheet 3-5
  • Formatting Sheet 6-8
  • Sorting Basic and Advanced
  • Filtering Advanced Techniques Part 1
  • Filtering Advanced Techniques Part 2
  • Dates Part 1
  • Dates Part 2
  • Cell Referencing Part 1
  • Cell Referencing Part 2
  • Vlookup Basics Part 1
  • Vlookup Part 2
  • Vlookup Part 3
  • Vlookup Match Part 1
  • Vlookup Match Part 2
  • Hlookup Match
  • Sumifs Part 1
  • Sumifs Part 2
  • Sumifs Part 3
  • Dashboards Part 1
  • Dashboards Part 2
  • Level 2 Intro
  • Concatenate: Merging Data
  • Find & Replace Techniques
  • Text to Columns: Splitting & Cleaning
  • Data Validation
  • Index Match Part 1
  • Index Match Part 2
  • Xlookup
  • Logicals Basics Part 1
  • Logicals Part 2
  • Logicals Part 3
  • Conditional Formatting Part 1
  • Conditional Formatting Part 2
  • What If: Scenario Manager
  • What If: Goal Seek
  • What If: Data Table
  • Pivot Table Basics Part 1
  • Pivot Tables Part 2
  • Level 3 Intro
  • Comments
  • Hyperlink Tips
  • Excel Views Advanced Tips
  • Printing Advanced Tips
  • Security Advanced Tricks
  • Charts Basics Part 1
  • Charts Part 2
  • Charts Part 3
  • Macros Basics Part 1
  • Macros Part 2
  • Analyse Data option in Excel
  • Write Formulas using AI
  • Automation using VBA Coding with AI
  • Advanced Excel Certification Guidance
  • Advanced Excel Powered by AI Test Files
5h 34m5 modules43 lessons

Includes downloadable resources: Dataset + Solved files + Power Query datasets

  • Introduction
  • Pivot Table Basics
  • Table Format for Pivoting
  • Value Field Setting
  • Sort & Filter
  • Pivot Table Actions
  • Calculated Field & Number Formatting
  • Conditional Formatting
  • Slicer & Timeline
  • Table Design
  • Report Filter Pages
  • Refresh & Updating Data
  • Pivot Chart
  • Field Buttons in Chart & Table
  • Dashboard Introduction
  • Tabular Analysis
  • Data Visualization
  • Report Connection
  • Dashboard Formatting
  • Dashboard Setting
  • Summary
  • Select Column, Remove Error
  • Split, Merge, Extract, Datatype
  • Date Part Extraction
  • Replace Text & Numbers
  • Replace Null If Not Work
  • Add Columns
  • Conditional Columns
  • Pivot & Unpivot Column
  • Load & Use Data
  • Append Query
  • Merge Data
  • Case Study Introduction
  • US Voter Case Solution
  • San Francisco Salaries Case
  • Shark Attack Case
  • Stock Market Data
  • Baseball Team Stats
  • San Diego Burrito Rating
  • Daily Weather Conditions
  • Spartan Race Facebook Post
  • Data Analysis using Excel Certification
  • Data Analysis using Excel Test Files
5h 20m6 modules54 lessons

Includes downloadable resources: Dataset + Solved files

  • Mean, Median, Mode
  • Spread: Range
  • Quartiles
  • Variance & Std Dev
  • Varp & Stdevp Formula
  • Std Dev Range
  • Six Sigma
  • Descriptive Stats Summary
  • Skewness
  • Kurtosis
  • Distribution
  • Outlier Analysis
  • Data Variation
  • Sample Data Calculation
  • Central Limit Theorem
  • Binomial Distribution
  • Normal Distribution
  • Exponential Distribution
  • Summary
  • Binomial vs Normal Distribution
  • Normal vs Poisson Distribution
  • Poisson Distribution
  • Exponential Distribution
  • Covariance Formula
  • Single Covariance
  • Data Analysis Toolpak Activation
  • Multiple Covariance
  • Single Correlation
  • Multiple Correlation
  • Regression Analysis
  • Prediction using Regression Model
  • Forecast ETS
  • Simple Moving Average
  • Weighted Moving Average
  • Exponential Smoothing
  • Auto Regression
  • Hypothesis Test
  • t test: Paired
  • t test: Equal Variance
  • t test: Unequal Variance
  • ANOVA
  • Chi Square Test
  • Hypothesis Test Summary
  • F Test
  • ANOVA 2 Way Without Replication
  • ANOVA 2 Way With Replication
  • Descriptive Analysis
  • Correlation Analysis
  • Hypothesis Test
  • Probability
  • Cars Data Solution
  • Hypothesis Test Cases Solution
  • Statistical Business Analyst Certification
  • Certified Statistical Business Analyst Task
9h 32m9 modules98 lessons

Includes downloadable resources: Installation guide + Dataset + Solved file

  • Power BI Installation Guide
  • Load Data to Power BI
  • Power Query Editor
  • Extract Transform Load (ETL)
  • Visualization: Building
  • Visualization Formatting
  • Visualization: Analytics
  • Save the Work
  • Univariant: Card
  • Univariant: Gauge
  • Bivariant: Funnel Chart
  • Bivariant: Pie Chart
  • Bivariant: Donut Chart
  • Bivariant: Column & Bar Charts
  • Multivariant: Tree Map
  • Multivariant: Combo Chart
  • Extract Weekday from Date
  • Time Based Group / Bin
  • Time Series Forecasting
  • Additional Analysis
  • Slicer
  • Page Navigator
  • Tooltip
  • Duplicate
  • AI Visual: Q&A
  • AI Visual: Key Influencers
  • AI Visual: Decomposition Tree
  • AI Visual: KPI
  • AI Visual: Smart Narrative
  • Formatting: Logo
  • Themes & Lock Object
  • Mobile Layout
  • Publishing & Printing
  • AI Based Influence Check
  • Decomposition Tree
  • NLP Based Q&A
  • Anomalies on Charts
  • Import External AI Visuals
  • Remove Error
  • Remove Duplicate Entry
  • Merge Columns
  • Change Data Types
  • Find & Replace
  • Split Column
  • Extract Date Elements
  • Create Custom Column
  • Column Rename
  • Create Conditional Column
  • Load Clean Data
  • View Setting
  • Remove Error
  • Null Values Analysis
  • Data Types & Continuous Column Null Values
  • Discrete Column Null Values & Cross Validation
  • Categorical Text Data Missing Values
  • Remove Columns & Continuous Text Data
  • Date & Time Column Handling
  • Sales Analysis
  • Relationship & Forecasting
  • Sales Dashboard
  • Pivoting & Unpivoting Data
  • Pivot Table in Power BI
  • Alternate Methods in Data Visualization
  • Primary Key & Foreign Key
  • Connecting Data
  • Loop, Chain & Direct Connection
  • Cardinality & Direction
  • UML Introduction
  • Load All Data
  • Star Schema Modeling
  • Snowflake Model
  • Day Name Extraction
  • Single vs Both Direction
  • Add Custom Column with Relationship
  • Scatter Plot with Multiple Data
  • Append Data
  • Basic Formula: SUM, AVERAGE, MAX, MIN
  • Counting: COUNT, COUNTA, COUNTBLANK, COUNTDISTINCT
  • Statistical: Mean, Median, Std Dev, Variance
  • Statistical: Percentile
  • AI Generated Formulas: Quick Measures
  • Column Formulas: IF, Nested IF
  • Column Formulas: AND logic
  • Column Formulas: OR logic
  • Table Formulas: Filter Table
  • Table Formulas: Filter with AND
  • Table Formulas: Filter with OR
  • Save, Export, Publish Report
  • Connect Data to Power BI
  • Income Analysis
  • Income Analysis Report
  • Insurance Analysis
  • Loan Analysis
  • Fixed Expense Analysis
  • Occasional Expense Analysis
  • Final Dashboard & Export
  • Power BI Certification Guidance
  • Task for Advanced Data Visualization
11h 10m7 modules103 lessons

Includes downloadable resources: Dataset + Python code + Anaconda toolkit

  • Installing Anaconda Software
  • Open Python File
  • Print Command
  • Comment vs Command
  • Variables
  • Data Types: Text
  • Data Types: Numbers
  • Save the File
  • Data Types: List
  • Data Types: Tuple
  • Data Types: Sets
  • Data Types: Dict
  • Data Types: Bool
  • While Loop
  • For Loop
  • IF ELSE
  • ELIF
  • AND
  • OR
  • For Loop with IF logic
  • Range in Loop
  • OOPs Function
  • Summary
  • Connect Data: Pandas
  • Data Structure
  • Missing Values
  • Handling Duplicated Values
  • Cleaning Date
  • Extract Day, Month & Year
  • Clean Data for EDA
  • Unique Function
  • GroupBy Function
  • Sort_values Function
  • Line Chart
  • Bar & Column Chart
  • Pie Chart
  • Matplotlib Customize Chart
  • Scatter Plot
  • Skewness, Kurtosis
  • Descriptive Stats
  • Histogram
  • Correlation
  • Outlier Analysis
  • Detailed EDA
  • Types of ML Models
  • Data Cleaning for Model Building
  • Train Test Split
  • Build Simple Regression Model
  • Model Testing & Prediction
  • Multiple Correlation Analysis
  • Data Encoding
  • Split Data using Drop Method
  • Multiple Regression Model
  • Classification Data
  • Data Preprocessing
  • Classification Model Building
  • Accuracy Score
  • Confusion Matrix
  • ML Model Summary
  • ML Introduction
  • ML Road Map
  • Download & Load Data
  • Data Cleaning
  • Continuous Data Analysis
  • Discrete & Qualitative Analysis
  • Feature Selection
  • Label Encoding
  • Train Test Split
  • Scaling & Standardization
  • Cost Function, Global Minima, Gradient Descent
  • Linear Regression
  • Cross Value Score
  • Bias & Variance
  • Ridge Model
  • GridSearchCV Hyperparameter Tuning
  • Lasso Model
  • Feature Selection using Lasso
  • Logistic Regression
  • Checking Model Fitness
  • KNN Model
  • KNN on Customer Data
  • Multinomial Naive Bayes
  • Decision Tree
  • Cost Complexity Pruning
  • Optimal Decision Tree
  • ROC AUC Score
  • Ensemble Techniques
  • Random Forest
  • AdaBoost
  • Gradient Boosting
  • XGBoost Model
  • XGBoost Optimization
  • Support Vector Machine
  • Unsupervised ML
  • K-Means Cluster
  • Elbow Method
  • Silhouette Score
  • DBSCAN Model
  • Principal Component Analysis (PCA)
  • Hierarchical Cluster Model
  • ML in a Nutshell
  • Python Certification Guidance
  • Task & Dataset for Data Science
1h 52m4 modules20 lessons

Includes downloadable resources: Software + datasets

  • Downloading the Software
  • Installing the Software
  • Connecting Data to Software
  • Prepare Data for Analysis
  • Analysis using Worksheet Basics
  • Features of Worksheet
  • Tableau Public Profile Uses
  • Preparing Analysis for Dashboards
  • Dashboard Part 1
  • Dashboard Part 2
  • Story in Tableau
  • Joins Part 1
  • Joins Part 2
  • Joins Part 3
  • Unions
  • Pivot in Tableau
  • Calculated Field
  • Relationship
  • Tableau Certification Guidance
  • Data Visualization using Tableau Test
2h 19m3 modules23 lessons
  • Installing Software
  • Why R and R Studio
  • Write a Basic Code
  • Write a Code Part 2
  • Loops in R
  • Logical Operators
  • Fundamentals of R
  • Functions in R
  • Packages in R
  • Important Data Cleaning
  • Importing Data into R
  • Exploring Data in R
  • Dollars in Data Frames
  • Subsetting in Data Frames
  • Filtering in Data Frames
  • Factoring in Data Frames
  • Intro using ggplot
  • Data Preparation for Analysis
  • Analysis using Qplot
  • Grammar of Graphics
  • Data Analysis using ggplot Part 1
  • Part 2
  • Part 3
8h 28m12 modules114 lessons

Includes downloadable resources: MySQL installation guide + resource files

  • Course introduction
  • Introduction
  • SQL Concepts
  • MySQL server installation
  • MySQL workbench installation
  • Query Execution and M2 conclusion
  • Database Fundamentals
  • Creating & Defining a Table
  • Inspecting the Table & Inserting Data
  • Practice Exercise: Owners Table
  • Conclusion
  • Introduction to CRUD Operations
  • SELECT Statement
  • WHERE and LIKE Clauses
  • SQL Safe Mode and UPDATE Statement
  • DELETE and DROP Statements
  • Practice Exercise
  • Conclusion
  • Setting Up the BookVerse Database
  • SELECT Statement and Formatting Query Results
  • DISTINCT: Finding Unique Values
  • ORDER BY: Sorting Query Results
  • LIMIT: Controlling Query Results
  • WHERE: Filtering Records
  • LIKE: Pattern Matching in SQL
  • Aggregate Functions: COUNT, SUM, AVG, MIN & MAX
  • GROUP BY: Grouping and Summarizing Data
  • HAVING: Filtering Grouped Data
  • Advanced HAVING and Query Filtering
  • Conclusion
  • Introduction to SQL Functions: String Functions
  • CONCAT and CONCAT_WS Functions
  • SUBSTRING Function
  • REPLACE and REVERSE Functions
  • CHAR_LENGTH Function
  • UPPER and LOWER Functions
  • LEFT, REPEAT and TRIM Functions
  • Formatting Output Using String Functions
  • Nested Queries
  • Introduction to Date and Time Functions
  • YEAR(), MONTHNAME() and DATE() Functions
  • TIME(), HOUR() and MINUTE() Functions
  • DAYOFWEEK() and DAYNAME() Functions
  • Combining Date and Time Functions
  • DATE_FORMAT() and TIME_FORMAT() Functions
  • CURDATE(), CURTIME() and NOW() Functions
  • DATEDIFF() and DATE_ADD() Functions
  • Date and Time Filtering
  • Automatic Timestamps
  • Practice Exercise
  • Introduction to Relationships and Related Tables
  • Creating Related Tables
  • Primary Keys, Foreign Keys and Sample Data
  • INNER JOIN Fundamentals
  • JOIN Operations with Aggregation
  • LEFT JOIN and IFNULL() Function
  • RIGHT JOIN
  • ON DELETE CASCADE
  • CASE Statements
  • Practice Exercise: Part 1
  • Introduction to Many-to-Many Relationships
  • Creating Databases, Tables and Junction Tables
  • Three-Table JOINs
  • Business Analysis Using Three-Table JOINs
  • Practice Exercise: Part 2
  • Conclusion
  • Introduction to Subqueries
  • Advanced and Correlated Subqueries
  • EXISTS and NOT EXISTS
  • Introduction to Window Functions
  • PARTITION BY with Window Functions
  • Running Totals with Window Functions
  • ROW_NUMBER(): Sequential Ranking
  • RANK(): Ranking with Ties
  • DENSE_RANK(): Ranking Without Gaps
  • NTILE(): Grouping and Segmenting Data
  • LAG() and LEAD() for Row Comparison
  • Combining Window Functions
  • Introduction to Common Table Expressions (CTEs)
  • Creating and Filtering Data with CTEs
  • CTEs vs. Subqueries
  • Advanced CTEs with Window Functions
  • Practice Exercise: Window Functions
  • Practice Exercise: CTEs
  • Introduction to Database Programming
  • Introduction to Database Views
  • Using and Managing Database Views
  • GROUP BY with ROLLUP
  • Multi-Level ROLLUP
  • Stored Procedures
  • Introduction to Database Transactions
  • COMMIT, ROLLBACK and SAVEPOINT
  • Introduction to Triggers and BEFORE Triggers
  • AFTER Triggers and Review Rating Audit
  • Practice Exercise
  • Introduction to Query Optimization
  • Indexes and Index Management
  • EXPLAIN and Understanding Execution Plans
  • Composite Indexes and Query Optimization
  • Performance Tuning and Index Maintenance
  • Optimizing Business Queries
  • Practice Exercise
  • Module Conclusion
  • Introduction
  • Project 1: Student Management, Database Setup
  • Project 1: Student Management, SQL Analysis
  • Project 2: Bookstore Analytics, Database Setup
  • Project 2: Bookstore Analytics, SQL Analysis
  • From SQL Results to Business Insights & Capstone Introduction
  • ConnectSphere Capstone: Introduction and Project Approach
  • ConnectSphere: Database Structure and Relationships
  • ConnectSphere: Database Setup and Data Loading
  • ConnectSphere: Business Questions and SQL Analysis
  • ConnectSphere: Business Insights and Course Recap
Full Stack Data Analyst CertificationEarn it by completing the certification tasks in this track. Submit 6 of 10 practical tasks per course.
Track 2 of 5

Corporate Finance & Analysis

Master financial analytics, three-statement modelling, valuation, personal finance and stock-market analysis, with AI woven through every workflow.

4 courses185 lessons24h 56m of contentCertification
Where the hours go. Tap a block to jump to that course.
7h 25m6 modules68 lessons

Includes downloadable resources: Dataset + Solved files

  • Future Value: FD
  • Future Value: RD
  • Present Value: Onetime
  • Present Value: Regular
  • Loan EMI Calculation
  • Time Value of Money: NPV
  • Time Value of Money: IRR
  • Depreciation Calculation
  • Depreciation: SLN
  • Depreciation: DB
  • Mutual Fund SIP Calculation
  • Mutual Fund Goal Amount
  • Mutual Fund SWP
  • Mutual Fund: Length of Investment
  • Chit Fund Return Calculation
  • XNPV, XIRR
  • Effective IR
  • Other Depreciation Methods
  • EMI Schedule
  • Financial Statements
  • Trend Analysis
  • Operating Profit Margin
  • Net Profit Margin
  • Debt to Equity
  • Current Ratio
  • Change in Working Capital
  • Inventory Turnover
  • Return on Equity
  • Annual Reports
  • Interest Coverage
  • Return on Investment: ROI
  • Debtor Days
  • Working Capital Management
  • Understand Data
  • Pivot Table
  • Budget, Revenue & P/L Analysis
  • Formula Correction
  • Bar & Column Chart
  • Formatting Charts
  • Align Charts to Dashboard
  • Slicer & Timeline
  • Connecting Charts
  • Format Dashboard
  • Printing Dashboard
  • Tesla Case Study: Forecasting
  • ITC Case Study: Valuation
  • Direct Tax
  • Indirect Tax
  • Corporate Tax
  • Capital Gain Tax
  • Bond Market
  • Relative Valuation
  • Connect Data to Power BI
  • Income Analysis
  • Income Analysis Report
  • Insurance Analysis
  • Loan Analysis
  • Fixed Expense Analysis
  • Occasional Expense Analysis
  • Final Dashboard & Export
  • Gemini Tool Intro
  • Ratio Analysis using AI
  • AI Generated Sales Forecast
  • Export AI Generated Data
  • Company Valuation using AI
  • AI for Financial Calculation
  • Financial Analytics Certification Guidance
  • Financial Analytics Task
7h 6m5 modules51 lessons

Includes downloadable resources: Dataset + Solved files

  • Download Financial Statement
  • Prepare P&L and Balance Sheet
  • Revenue Forecast Part 1
  • Revenue Forecast Part 2
  • Revenue Forecast Part 3
  • Cost Model
  • Forecast Operating Profit
  • Other Income Model
  • Depreciation (Asset) Model
  • Debt Model
  • Tax Model
  • Owner Capital
  • Working Capital: Liability
  • Working Capital: CWIP, Inventory, Debtors
  • Cashflow: Operating Activity
  • Cashflow: Financial Activity
  • Cashflow: Investment Activity
  • Working Capital: Assets
  • Models Summary
  • DCF: Free Cash Flow
  • CAPM, WACC Intro
  • Cost of Equity: CAPM
  • Discount Rate: WACC
  • Terminal Value
  • DCF Valuation
  • Peers Valuation Data
  • Price to Sales Valuation
  • Book Value Valuation
  • Earning Based Valuation
  • EBITDA Valuation
  • Startup Cost
  • Tangible Asset Budget
  • Intangible Asset Budget
  • Working Capital
  • Cost of Goods Sold
  • Capital Planning
  • Sales Estimation
  • Cost Estimation
  • Asset & Loan Schedule
  • Balance Sheet
  • Cash Flow Statement
  • Beneish M-Score Model
  • Altman Z-Score Model
  • Piotroski F-Score Ratios
  • Piotroski F-Score Model
  • Ohlson O-Score Ratios
  • Ohlson O-Score Model
  • Solvency Model
  • Risk Assessment
  • Financial Valuation Certification Guidance
  • Financial Valuation Certification
4h 19m2 modules27 lessons

Includes downloadable resources: Dataset + Solved files

  • Programme Disclaimer
  • Income Source
  • Expense Management: Monthly
  • Expense Management: Yearly
  • Savings & Expense Ratio
  • Emergency Fund
  • Gold Loan Plan
  • Personal, Vehicle & Home Loan
  • Total Debt EMI
  • Investment Plan
  • Invest in FD, RD, NSC
  • Sukanya Samriddhi Yojana (SSY)
  • Public Provident Fund (PPF)
  • Gold / Silver ETF
  • Mutual Funds
  • Stock Investment
  • Investment Amount
  • Health Insurance
  • Life Insurance
  • Motor Insurance
  • Home, Travel, PA Insurance
  • Professional Tax
  • Income Tax
  • Capital Gain Tax
  • Net Worth
  • Personal Finance Management Certification
  • Task on Personal Finance
6h 6m5 modules39 lessons

Includes downloadable resources: Stock Market dataset

  • Basics About Share Market
  • Have You Invested Anywhere
  • Why Investment Required
  • Speculator & Investor
  • Stock Universe Construction
  • Missing Value Stocks
  • Profit After Tax
  • PAT: Conservative Investor
  • PAT: Aggressive Investor
  • ROMI: Conservative
  • ROMI: Aggressive
  • Company Payout to Investor
  • CPI: Conservative
  • CPI: Aggressive
  • Company Valuation Factors
  • CVF: Conservative
  • CVF: Aggressive
  • Quality of Management
  • Stock Selection: Conservative
  • Stock Selection: Aggressive
  • Portfolio Construction
  • Portfolio Construction in Moneycontrol
  • Active Portfolio Management
  • Passive Portfolio Management
  • IPO Selection
  • Nutshell
  • Model Portfolio
  • ETF Types
  • ETF Analysis
  • Mutual Funds Intro
  • Mutual Fund Types
  • Mutual Fund Return Analysis
  • Mutual Fund Risk Analysis
  • Mutual Fund Portfolio
  • GPT for Stocks
  • GPT for Mutual Fund
  • Stock, ETF, MF
  • Stock Market Analysis Certification Guidance
  • Task on Portfolio Management
Corporate Finance Analyst CertificationEarn it by completing the certification tasks in this track. Submit 6 of 10 practical tasks per course.
Track 3 of 5

Applied Analytics

Domain-focused analytics across Finance, Marketing and HR: Power BI, Python and Tableau applied to real business problems and a capstone project.

4 courses70 lessons10h 38m of contentCertification
Where the hours go. Tap a block to jump to that course.
7h 6m3 modules42 lessons
  • Connect Data to Power BI
  • Income Analysis
  • Income Analysis Report
  • Insurance Analysis
  • Loan Analysis
  • Fixed Expense Analysis
  • Occasional Expense Analysis
  • Final Dashboard & Export
  • Gemini Tool Intro
  • AI Generated Sales Forecast
  • Export AI Generated Data
  • Ratio Analysis using AI
  • Company Valuation using AI
  • AI for Financial Calculation
  • Install Yahoo Finance
  • Download Live Stock Data
  • Basic Charts
  • Basic Risk & Return
  • Download Financial Statements
  • Valuation Ratios
  • Profitability Analysis
  • Financial Health Analysis
  • Solvency Analysis
  • Moving Average
  • Bull or Bear
  • EMA for Trend
  • Bollinger Bands
  • RSI Signal
  • Model Portfolio
  • Get Live Information
  • Create Portfolio
  • Basic Portfolio Analysis
  • Risk & Return Analysis
  • Daily Return Calculation
  • Sharpe Ratio
  • Sortino Ratio
  • Calmar Ratio
  • Value at Risk & CVaR
  • Monte Carlo Simulation
  • Portfolio Optimization
  • Efficient Frontier
  • Re-balancing Portfolio
2h 5m1 modules16 lessons
  • Product Analysis
  • Geographical Analysis
  • Sales & Profit Analysis
  • SVP Analysis
  • Sales Story
  • BCG Matrix
  • Ansoff Matrix
  • STP Analysis
  • Customer Lifetime Value
  • RFM Analysis
  • Pareto Analysis
  • Trend Analysis
  • Forecast
  • Scatter Plot
  • Shipment Analysis
  • Market Basket Analysis
1h 27m1 modules10 lessons
  • HR Summary Metrics
  • Attrition Analysis
  • Performance Analysis
  • Compensation Analysis
  • Career Analysis
  • Risk Analysis
  • Advanced DAX 1
  • Advanced DAX 2
  • Advanced DAX 3
  • Advanced DAX 4
1 modules2 lessons
  • Applied Analytics Certification Guidance
  • Data & Task for Capstone Project
Applied Analytics CertificationEarn it by completing the certification tasks in this track. Submit 6 of 10 practical tasks per course.
Track 4 of 5

Artificial Intelligence

Build the full AI stack: Python and ML foundations, deep learning with ANN/CNN/NLP, a masterclass in 55+ practical AI tools, and no-code agentic AI automation with Zapier and Make.com.

6 courses209 lessons29h 35m of content
Where the hours go. Tap a block to jump to that course.
3h 8m4 modules44 lessons

Includes downloadable resources: Dataset + Python code + Anaconda toolkit

  • Installing Anaconda
  • Open Python File
  • Print Command
  • Comment vs Command
  • Variables
  • Data Types: Text
  • Data Types: Numbers
  • Save the File
  • Data Types: List
  • Data Types: Tuple
  • Data Types: Sets
  • Data Types: Dict
  • Data Types: Bool
  • While Loop
  • For Loop
  • IF ELSE
  • ELIF
  • AND
  • OR
  • For Loop with IF logic
  • Range in Loop
  • OOPs Function
  • Summary
  • Connect Data: Pandas
  • Data Structure
  • Missing Values
  • Handling Duplicated Values
  • Cleaning Date
  • Extract Day, Month & Year
  • Clean Data for EDA
  • Unique Function
  • GroupBy Function
  • Sort_values Function
  • Line Chart
  • Bar & Column Chart
  • Pie Chart
  • Matplotlib Customize Chart
  • Scatter Plot
  • Skewness, Kurtosis
  • Descriptive Stats
  • Histogram
  • Correlation
  • Outlier Analysis
  • Detailed EDA
6h 56m1 modules42 lessons

Includes downloadable resources: Dataset + Jupyter notebooks

  • ML Introduction
  • ML Road Map
  • Download & Load Data
  • Data Cleaning
  • Continuous Data Analysis
  • Discrete & Qualitative Analysis
  • Feature Selection
  • Label Encoding
  • Train Test Split
  • Scaling & Standardization
  • Cost Function, Global Minima, Gradient Descent
  • Linear Regression
  • Cross Value Score
  • Bias & Variance
  • Ridge Model
  • GridSearchCV Tuning
  • Lasso Model
  • Feature Selection using Lasso
  • Logistic Regression
  • Checking Model Fitness
  • KNN Model
  • KNN on Customer Data
  • Multinomial Naive Bayes
  • Decision Tree
  • Cost Complexity Pruning
  • Optimal Decision Tree
  • ROC AUC Score
  • Ensemble Techniques
  • Random Forest
  • AdaBoost
  • Gradient Boosting
  • XGBoost Model
  • XGBoost Optimization
  • Support Vector Machine
  • Unsupervised ML
  • K-Means Cluster
  • Elbow Method
  • Silhouette Score
  • DBSCAN Model
  • PCA
  • Hierarchical Cluster
  • ML in a Nutshell
5h 24m2 modules30 lessons

Includes downloadable resources: ANN/NLP + Cat-Dog CNN datasets + code

  • Deep Learning Introduction
  • Neural Network
  • Forward Propagation
  • Backward Propagation
  • Activation Function
  • Weight Initialization
  • Optimization Algorithms
  • Dropout & Regularization
  • Google Colab Setting
  • Data Cleaning for Model
  • ANN Model on Data
  • ANN Model Evaluation
  • CNN Terminology
  • Data for CNN
  • CNN Model Building
  • ImageData Generator
  • Checking Model Accuracy
  • CNN Model Testing
  • RNN Intro
  • Tokenization
  • Stemming & Lemmatization
  • Bag of Words
  • TF-IDF & Count Vectorizer
  • Ham/Spam Data Preprocess
  • NLP ML Model
  • Deep Learning Model
  • Model Testing
  • Model Evaluation
  • Model Modification
  • Deep Learning in a Nutshell
6h 5m9 modules61 lessons
  • ChatGPT
  • Claude
  • Gemini
  • Copilot
  • DeepSeek
  • Grok
  • Poe
  • ChatPDF
  • Consensus
  • NotebookLM
  • Elicit
  • Perplexity
  • SciSpace
  • Google Trends
  • Pollfish
  • Glimpse
  • SurveyMonkey
  • Typeform
  • SurveySparrow
  • Qualtrics XM
  • SparkToro
  • BuzzSumo
  • Hemingway Editor
  • Grammarly
  • QuillBot
  • Simplified
  • Writesonic
  • Flick
  • Brand24
  • Google Performance Max Campaign
  • Intercom
  • ActiveCampaign
  • Mailchimp
  • Beautiful.ai
  • Loka
  • Ideogram
  • Gamma
  • Adobe Firefly
  • Canva AI
  • Gamma, Part 2
  • Creatify: AI-Powered Video Ad Creation
  • Descript: AI Video and Audio Editing
  • Opus Clip: AI-Powered Short-Form Video Creation
  • Synthesia: AI Avatar Video Creation
  • HeyGen: AI Avatar and Video Generation
  • RAWGraphs
  • Otter
  • Fathom
  • Teal HQ
  • Polymer
  • Julius AI
  • Yoodli
  • Notion AI
  • Sprout Social
  • Infogram
  • Reclaim
  • RAWGraphs
  • Polymer
  • Flourish
  • Looker Studio
  • Datawrapper
4h 3m3 modules18 lessons
  • Introduction to Zapier and Workflow Automation
  • Setting Up Your Zapier Account
  • Understanding Zap Triggers
  • Understanding Zap Actions
  • Managing Zaps
  • Zapier Built-In Tools
  • Zapier Tables
  • Zapier Forms
  • Canvas in Zapier
  • Building Custom Chatbots
  • Introduction to AI Agents
  • AI Agent Orchestration
  • Introduction to MCP Servers
  • Project 1: Automated Lead Management
  • Project 2: Automated Email Management
  • Project 3: LinkedIn Post Chatbot, Part 1
  • Project 3: LinkedIn Post Chatbot, Part 2
  • Project 4: Looping and AI Automation
3h 59m3 modules14 lessons
  • Make.com Account Activation and Setup
  • Team Reminder Automation with Slack
  • Connecting Google Drive and Google Sheets
  • Connecting Tally Forms for Workflow Automation
  • Lead Generation Automation
  • Email Management Automation
  • Brand Monitoring and Watch Automation
  • Social Media Automation
  • Help Desk Automation
  • AI-Powered Resume Screening
  • Accounts Payable Reminder Automation
  • MCP Integration with GPT and Claude
  • Managing Make.com Scenarios Using Claude
  • Building an AI-Powered Chatbot
Track 5 of 5

Digital Marketing

Modern, AI-first digital marketing: generate promotional video with Gemini, optimise content for LLM-era SEO, and build backlinks that rank.

1 course16 lessons55m of content
55m3 modules16 lessons

Includes downloadable resources: Sample reels + workflow PDF + prompt packs

  • Sample Reels created using Gemini
  • AI Video Workflow guide
  • Video Creation Prompts
  • Generate a Promotional Video from Any Website
  • Create Your First AI Avatar Video with Gemini
  • Complete All AI Video Segments for a 30-Second Reel
  • Combine AI Video Clips into a Professional Reel in Canva
  • Remove AI Watermarks & Add Professional Captions
  • Finalize & Export Your Promotional Video
  • Introduction to LLM-Optimized Content & AI SEO
  • Build an AI-Friendly Content Structure with ChatGPT
  • Generate High-Quality LLM-Optimized Content with Claude
  • Enhance Content with FAQs & SEO Structure
  • Create SEO Meta Titles & Descriptions
  • Evaluate & Improve Your LLM-Optimized Content
  • Backlink Creation guide
No lessons match that search Try a broader term like “Excel”, “Python”, “valuation” or “SEO”.

One membership. Lifetime access to all of it.

Every course above is included, and courses are only one part of nine. Your membership also covers live mentoring, job simulations, career toolkits, aptitude tests, mock interviews, speaking practice, placement support and the member community.

See the two plans, from ₹2,999 See all 9 parts of the platform