Master in Data Analytics
Master data-driven decision-making with our Data Analytics Course! Learn Excel, SQL, Python, and BI tools. Get a Data Analytics Certification!
Level : Beginner
Duration :120 hrs
Rating : 4.9/5
Language : Python
Activate this Course for :
₹ 22999
22999
Activate this Course for :
₹ 22999
22999
Enter Details
Master in Data Analytics Course Overview
Master data analytics concepts, including data cleaning, visualization, and business intelligence.
Gain expertise in Excel for data analytics, including Pivot Tables, Power Query, and dashboards.
Work with Power BI and Tableau for interactive data visualization.
Get hands-on with AI-driven data analytics and anomaly detection.
This Course Includes
Certification After completing the courses
We Provides 24/7 Dedicated Forum Support
Accessing to AI tools to enhance coding skills
Enjoy Lifetime access to course materials
Course Contents
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1.1.Data Analytics
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1.2.Types of Analytics
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1.3.Data Analytics Lifecycle
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1.1.Data Analytics
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1.2.Types of Analytics
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1.3.Data Analytics Lifecycle
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2.1.Overview of Excel
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2.2.Basic Features & Formatting
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2.3.Functions in Excel
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2.4.Data Cleaning in Power Query Editor
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2.5.Advanced Excel Techniques
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2.6.Creating Dashboards in Excel
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2.1.Overview of Excel
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2.2.Basic Features & Formatting
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2.3.Functions in Excel
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2.4.Data Cleaning in Power Query Editor
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2.5.Advanced Excel Techniques
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2.6.Creating Dashboards in Excel
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3.1.SQL Fundamentals
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3.2.Introduction to SQL & Databases
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3.3.Basic SQL Queries
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3.4.Data Filtering
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3.5.Aggregation
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3.6.Joins
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3.7.Subqueries & Common Table Expressions
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3.8.Query Optimization
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3.9.Handling Missing Data
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3.1.SQL Fundamentals
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3.2.Introduction to SQL & Databases
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3.3.Basic SQL Queries
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3.4.Data Filtering
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3.5.Aggregation
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3.6.Joins
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3.7.Subqueries & Common Table Expressions
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3.8.Query Optimization
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3.9.Handling Missing Data
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4.1.Getting Started with Power BI
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4.2.Power BI Desktop Setup
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4.3.Power Query Editor
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4.4.Append & Merge Queries
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4.5.Relationships & Cardinality
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4.6.Functions in DAX
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4.7.Power BI Dashboard & Reports
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4.1.Getting Started with Power BI
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4.2.Power BI Desktop Setup
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4.3.Power Query Editor
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4.4.Append & Merge Queries
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4.5.Relationships & Cardinality
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4.6.Functions in DAX
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4.7.Power BI Dashboard & Reports
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5.1.Getting Started with Tableau
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5.2.Connecting to Data Sources
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5.3.Creating Visualizations in Tableau
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5.4.Sorting
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5.5.Grouping & Filtering Data
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5.6.Advanced Tableau Features
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5.7.Geographic Maps & Data Hierarchies
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5.1.Getting Started with Tableau
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5.2.Connecting to Data Sources
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5.3.Creating Visualizations in Tableau
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5.4.Sorting
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5.5.Grouping & Filtering Data
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5.6.Advanced Tableau Features
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5.7.Geographic Maps & Data Hierarchies
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6.1.Descriptive Statistics
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6.2.Measures of Central Tendency
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6.3.Variance
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6.4.Standard Deviation
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6.5.Normal Distribution
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6.6.Outliers & Skewness
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6.7.Linear & Multiple Regression
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6.8.Pearson & Spearman Correlation
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6.1.Descriptive Statistics
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6.2.Measures of Central Tendency
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6.3.Variance
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6.4.Standard Deviation
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6.5.Normal Distribution
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6.6.Outliers & Skewness
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6.7.Linear & Multiple Regression
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6.8.Pearson & Spearman Correlation
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7.1.Python Basics
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7.2.Introduction to Python for Analytics
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7.3.Variables
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7.4.Operators
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7.5.Control Flow
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7.6.Working with Pandas & NumPy
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7.7.Data Manipulation & Aggregation
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7.8.Data Merging & Concatenation
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7.9.Data Visualization in Python
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7.1.Python Basics
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7.2.Introduction to Python for Analytics
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7.3.Variables
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7.4.Operators
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7.5.Control Flow
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7.6.Working with Pandas & NumPy
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7.7.Data Manipulation & Aggregation
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7.8.Data Merging & Concatenation
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7.9.Data Visualization in Python
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8.1.Introduction to Machine Learning
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8.2.Supervised vs Unsupervised Learning
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8.3.Applications of ML in Data Analytics
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8.4.Decision Trees & Random Forests
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8.5.Model Evaluation & Optimization
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8.6.ROC Curves
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8.7.Cross-Validation
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8.1.Introduction to Machine Learning
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8.2.Supervised vs Unsupervised Learning
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8.3.Applications of ML in Data Analytics
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8.4.Decision Trees & Random Forests
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8.5.Model Evaluation & Optimization
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8.6.ROC Curves
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8.7.Cross-Validation
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9.1.AI-driven Data Analytics
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9.2.AI for Data Cleaning & Preparation
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9.3.AI-powered SQL Query Optimization
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9.4.Identifying Outliers in Large Datasets
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9.5.AI-powered Business Insights
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9.6.Real-time AI-based Analytics
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9.1.AI-driven Data Analytics
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9.2.AI for Data Cleaning & Preparation
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9.3.AI-powered SQL Query Optimization
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9.4.Identifying Outliers in Large Datasets
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9.5.AI-powered Business Insights
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9.6.Real-time AI-based Analytics
Benefits
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We maintain a personalized profile for each user, tracking their learning progress, performance in coding problems, and achievements,It also includes a record of completed contests, certifications earned, and coding skills developed etc

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