Data Analytics Mastery
Gain job-ready skills with the best data analytics courses designed for professionals and beginners alike. This hands-on data analytics course helps you master tools, techniques, and certifications needed to become a top-performing data analyst in today’s data-driven world.
Level : Intermediate
Duration :120 hrs
Rating : 4.9/5
Language : PowerBi, Tableau, Sql
Activate this Course for :
₹ 18999
18999
Activate this Course for :
₹ 19999
19999
Enter Details
Data Analytics Mastery Course Overview
Clean, analyze, and visualize data using Excel, SQL, Power BI, and Python
Perform data storytelling and dashboarding to support business decisions
Learn statistics, forecasting, and trend analysis in real-world scenarios
Work on industry-grade datasets for project-based experience
Prepare for top-tier data analytics certification exams
Data Analytics Mastery 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
Assessments to track your progress
Data Analytics Mastery Course Contents
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1.1.What is Data Analytics?
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1.2.Types: Descriptive, Diagnostic, Predictive, Prescriptive
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1.3.Data Analytics Lifecycle
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1.4.Roles: Analyst vs Scientist vs Engineer
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1.1.What is Data Analytics?
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1.2.Types: Descriptive, Diagnostic, Predictive, Prescriptive
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1.3.Data Analytics Lifecycle
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1.4.Roles: Analyst vs Scientist vs Engineer
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2.1.Python Basics: Variables, Data Types, Loops, Functions
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2.2.Jupyter Notebook Setup
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2.3.Libraries: NumPy, Pandas Overview
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2.4.Data Loading and Manipulation
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2.1.Python Basics: Variables, Data Types, Loops, Functions
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2.2.Jupyter Notebook Setup
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2.3.Libraries: NumPy, Pandas Overview
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2.4.Data Loading and Manipulation
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3.1.Series and DataFrames
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3.2.Filtering, Sorting, Aggregation
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3.3.Merging and Joining Data
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3.4.Handling Missing and Duplicate Values
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3.1.Series and DataFrames
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3.2.Filtering, Sorting, Aggregation
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3.3.Merging and Joining Data
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3.4.Handling Missing and Duplicate Values
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4.1.Descriptive Statistics
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4.2.Univariate and Bivariate Analysis
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4.3.Correlation and Causation
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4.4.Feature Engineering Basics
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4.1.Descriptive Statistics
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4.2.Univariate and Bivariate Analysis
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4.3.Correlation and Causation
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4.4.Feature Engineering Basics
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5.1.Data Quality Issues
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5.2.Outlier Detection
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5.3.Encoding Categorical Variables
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5.4.Scaling and Normalization
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5.1.Data Quality Issues
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5.2.Outlier Detection
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5.3.Encoding Categorical Variables
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5.4.Scaling and Normalization
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6.1.Matplotlib Basics
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6.2.Seaborn Charts: Countplot, Boxplot, Heatmap
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6.3.Customizing Plots
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6.4.Real-Time Dashboards using Plotly
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6.1.Matplotlib Basics
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6.2.Seaborn Charts: Countplot, Boxplot, Heatmap
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6.3.Customizing Plots
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6.4.Real-Time Dashboards using Plotly
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7.1.Excel Interface and Shortcuts
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7.2.Data Entry, Cleaning, Sorting
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7.3.Basic Formulas and Functions (SUM, AVERAGE, IF)
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7.4.Data Validation
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7.1.Excel Interface and Shortcuts
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7.2.Data Entry, Cleaning, Sorting
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7.3.Basic Formulas and Functions (SUM, AVERAGE, IF)
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7.4.Data Validation
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8.1.Pivot Tables and Charts
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8.2.VLOOKUP, INDEX-MATCH, TEXT Functions
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8.3.Conditional Formatting
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8.4.What-If Analysis and Data Tables
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8.1.Pivot Tables and Charts
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8.2.VLOOKUP, INDEX-MATCH, TEXT Functions
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8.3.Conditional Formatting
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8.4.What-If Analysis and Data Tables
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9.1.Power BI Desktop Overview
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9.2.Connecting to Data Sources
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9.3.Data Transformation with Power Query
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9.4.Building Basic Reports
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9.1.Power BI Desktop Overview
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9.2.Connecting to Data Sources
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9.3.Data Transformation with Power Query
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9.4.Building Basic Reports
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10.1.Bar, Line, Pie, Maps, Cards
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10.2.Slicers and Filters
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10.3.DAX Basics: Calculated Columns and Measures
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10.4.Publishing to Power BI Service
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10.1.Bar, Line, Pie, Maps, Cards
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10.2.Slicers and Filters
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10.3.DAX Basics: Calculated Columns and Measures
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10.4.Publishing to Power BI Service
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11.1.Tableau Interface Overview
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11.2.Connecting to Excel/CSV/SQL
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11.3.Dimension vs Measure
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11.4.Building Basic Charts and Dashboards
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11.1.Tableau Interface Overview
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11.2.Connecting to Excel/CSV/SQL
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11.3.Dimension vs Measure
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11.4.Building Basic Charts and Dashboards
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12.1.Parameters and Calculated Fields
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12.2.Filters, Sets, Groups
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12.3.Storytelling with Dashboards
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12.4.Publishing to Tableau Public
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12.1.Parameters and Calculated Fields
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12.2.Filters, Sets, Groups
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12.3.Storytelling with Dashboards
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12.4.Publishing to Tableau Public
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13.1.Introduction to Databases
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13.2.SELECT, WHERE, ORDER BY, LIMIT
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13.3.Filtering with LIKE, IN, BETWEEN
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13.4.Basic Aggregations (GROUP BY, COUNT, AVG)
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13.1.Introduction to Databases
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13.2.SELECT, WHERE, ORDER BY, LIMIT
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13.3.Filtering with LIKE, IN, BETWEEN
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13.4.Basic Aggregations (GROUP BY, COUNT, AVG)
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14.1.Joins: INNER, LEFT, RIGHT, FULL
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14.2.Subqueries and CTEs
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14.3.Window Functions (RANK, DENSE_RANK, ROW_NUMBER)
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14.4.Case Statements
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14.1.Joins: INNER, LEFT, RIGHT, FULL
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14.2.Subqueries and CTEs
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14.3.Window Functions (RANK, DENSE_RANK, ROW_NUMBER)
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14.4.Case Statements
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15.1.Mean, Median, Mode, Variance, Standard Deviation
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15.2.Probability Basics
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15.3.Hypothesis Testing
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15.4.Correlation and Regression
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15.1.Mean, Median, Mode, Variance, Standard Deviation
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15.2.Probability Basics
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15.3.Hypothesis Testing
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15.4.Correlation and Regression
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16.1.Marketing, Sales, HR, Finance, and Supply Chain Use Cases
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16.2.KPI Definition and Metric Analysis
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16.3.Creating Data Stories for Stakeholders
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16.1.Marketing, Sales, HR, Finance, and Supply Chain Use Cases
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16.2.KPI Definition and Metric Analysis
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16.3.Creating Data Stories for Stakeholders
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17.1.Data Cleaning and Aggregation
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17.2.Deriving KPIs from Raw Tables
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17.3.Creating Pivot Reports and SQL Queries
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17.4.Presentation of Findings
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17.1.Data Cleaning and Aggregation
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17.2.Deriving KPIs from Raw Tables
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17.3.Creating Pivot Reports and SQL Queries
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17.4.Presentation of Findings
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18.1.Importing and Cleaning a Real Dataset
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18.2.Performing EDA and Visualizations
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18.3.Building Dashboards in Power BI or Tableau
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18.4.Final Storytelling and Presentation
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18.1.Importing and Cleaning a Real Dataset
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18.2.Performing EDA and Visualizations
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18.3.Building Dashboards in Power BI or Tableau
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18.4.Final Storytelling and Presentation
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