In today’s data-driven world, Data Analytics helps turn raw data into meaningful insights. This course equips you with essential skills and tools to analyze data and succeed in the analytics field.
Course Highlights
What role does a Data Analytics play?
Introduction to Data Analytics
Understanding the role and importance of data analytics in various industries.Overview of the data analytics lifecycle.
Data Collection and Cleaning
Techniques for data collection from various sources.Methods for cleaning and preparing data for analysis.
Exploratory Data Analysis
Using statistical methods to explore and summarize data.Visualizing data through charts and graphs to identify patterns and trends.
Data Visualization
Creating compelling visual stories using tools like Tableau, Power BI, and Excel.Best practices for effective data visualization.
Statistical Analysis
Applying descriptive and inferential statistics.Understanding probability distributions, hypothesis testing, and regression analysis.
Advanced Analytics Techniques
Introduction to machine learning algorithms and predictive modeling.Hands-on experience with tools such as Python and R for advanced data analysis.
Key Highlights
50+ Live interactive sessions across 7 months
218 Hrs Self-paced High Quality Videos
50+ Industry relevant Projects & Quizzes
Live Classes from Industry Experts
Prestigious Certification from iHub IIT Roorkee
Career Services for Freshers & Professionals
2 Days Campus Immersion at iHub IIT Roorkee
24/7 Dedicated Support & Mentor Guidance
Quality Material & Smart Digital Notes
Concept-wise Assignments & Tests
Lifetime Validity - Learn at your Pace
Small Batches for Personalized Focus
Market Analysis
| Job Title | No. of Jobs Listed | Annual Salary | |||
|---|---|---|---|---|---|
| Naukri | Shine | Times Job | Monster Jobs | ||
| Data Analyst | 1,20,000+ | 95,000+ | 70,000+ | 40,000+ | 3 - 8 LPA |
| Business Analyst | 90,000+ | 75,000+ | 55,000+ | 30,000+ | 4 - 10 LPA |
| MIS Analyst | 60,000+ | 45,000+ | 35,000+ | 20,000+ | 2.5 - 6 LPA |
| Reporting Analyst | 50,000+ | 40,000+ | 30,000+ | 18,000+ | 3 - 7 LPA |
| Financial Analyst | 70,000+ | 55,000+ | 45,000+ | 25,000+ | 4 - 12 LPA |
| Operations Analyst | 65,000+ | 50,000+ | 40,000+ | 22,000+ | 3 - 8 LPA |
| Data Visualization Analyst (Power BI / Tableau) | 55,000+ | 45,000+ | 35,000+ | 20,000+ | 4 - 9 LPA |
| Junior Data Analyst | 80,000+ | 65,000+ | 50,000+ | 28,000+ | 2.5 - 5 LPA |
Python & Libraries
- Variables
- Data types
- Operators
- if statements
- Loops
- String
- Lists, Tuples
- Dictionaries
- Sets
- Conditional expressions
- Modules
- Functions
- File handling
- Object Oriented Concept
- Exception Handling
- GUI Progragramming in Python
- 5 Mini Projects
- Introduction to Pandas
- Series and DataFrames
- Data Exploration
- Data Manipulation
- Data Cleaning
- Grouping and Aggregation
- Data Visualization with Pandas
- Time Series Data
- Handling Categorical Data
- Reading and writing data to various file formats: CSV, Excel, JSON,SQL Database
- Introduction to Matplotlib
- Basic Plotting with Matplotlib
- Different Types of Plots
- Advanced Plot Customization
- 3D Plotting
- Working with Images
- Animations
- Integration with Pandas and NumPy
BI Tools (Power BI)
- Overview of Power BI and its components
- Installation and setup
- Understanding the Power BI ecosystem
- Importing data into Power BI
- Introduction to Microsoft power BI Desktop
- Downloading the Microsoft Power BI Desktop
- Power BI Desktop interface and workflow
- Power BI Front-End vs. Back-End
- Types of Data Connectors
- The Power Query Editor
- Basic Table Transformations
- Connecting to a Database
- Extracting Data from the Web
- Profiling Tools (Text Tools, Numerical Tools, Date & Time Tools)
- Change Type with Locale
- Index, Conditional Columns and Calculated Column
- Grouping & Aggregating
- Pivoting & Unpivoting
- Queries (Merging, appending, refreshing)
- Data Source Settings
- Importing Excel model
- Data Modeling
- Database Normalization
- Fact & Dimension tables
- Primary & Foreign Keys
- Relationships vs. Merged Tables
- Creating, managing & editing Table Relationships
- Star & Snowflake Schemas
- Connecting Multiple Fact Tables
- Filter Context & Filter Flow
- Model Layouts
- Data Formats & Categories
- Creating Hierarchies
- Data Modeling
- Database Normalization
- Fact & Dimension tables
- Primary & Foreign Keys
- Relationships vs. Merged Tables
- Creating, managing & editing Table Relationships
- Star & Snowflake Schemas
- Connecting Multiple Fact Tables
- Filter Context & Filter Flow
- Model Layouts
- Data Formats & Categories
- Creating Hierarchies
- Dashboard Design Framework
- Sketching the dashboard layout
- Adding Report Pages & Objects
- Naming & Grouping Objects
- Cards (Multi-Row cards, KPI Cards, Top N Text Cards)
- Charts (Building Charts, Formatting Charts, Line Charts, Bar & Donut, Gauge Charts, Area Charts)
- Trend Lines & Forecasts
- Visuals (Table Visuals, Matrix Visuals, Map visuals, Importing Custom Visuals)
- Filterting (Basic Filtering Options, Top N Filtering)
- Formatting (Conditional formatting, Advanced Conditional Formatting)
- Parameters (Numeric Range Parameters, Fields Parameters)
- Slicers (Report Slicers, Slicer Panels)
- Drill Up & Drill Down
- Editing Report Interactions
- Adding Bookmarks
- Custom Navigation Buttons
- Managing & Viewing Roles
- Mobile Layouts
- The Optimize Ribbon
- Pausing Visuals
- Optimization Presets
- Applying All Slicers
- Performance Analyzer
- External Tools
- Troubleshooting common issues in Power BI
- The Optimize Ribbon
- Pausing Visuals
- Hands-on projects using real-world datasets
- Applying All SlicersAnalyzing and visualizing data to derive actionable insights
- Presenting analysis findings effectively
Database
- Introduction to MySQL
- Basic MySQL syntax
- Schema Design Methodology
- Create / Select / Drop /Copy of Database
- Create Table
- Constraints in MySQL
- Alter Table
- Insert / Select / Delete / Update Records
- Rollback, Commit and Grant
Maths & Statistics
- Arithmetic
- Weighted average
- Cumulative sum
- Percentile
- Descriptive vs Inferential statistics
- Continuous vs Discrete data
- Nominal vs Ordinal data
- Mean, Median and Mode
- Standard Deviation and Variance
- Hypothesis testing: T-test, Paired T-test, p-value, F-Test, z-test
Excel
- SUM
- AVERAGE
- MEAN
- MEDIAN
- SUMPRODUCT
- CONCATENATE
- VLOOKUP, INDEX, MATCH, IF, COUNTIF, SUMIF
- Remove duplicates and conditional formatting
- Charts, filters, sort and slicers
- Pivot tables and pivot charts
Control Version
- Intro to VCS
- Types of VCS
- What is Git, GitHub
- Git Installation
- Configuring Git
- Connecting Git with GitHub
- Basic Git & GitHub Workflow
- Git Branching & Merging
- Git Clone
- Resolve Merge Conflict
- How to setup & upload Project on GitHub
- How to PUSH & Pull Project
Soft Skills
- Communication skill
- Analytical skill
- Problem solving skill
- Story telling
- Business understanding
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