Learn From Industry Professionals
Complete Data Analytics Training with Excel, SQL, Power BI, and Python
Gain in-demand skills to collect, analyze, and visualize data using top analytics tools and techniques. Learn data wrangling with Excel and SQL, perform statistical analysis with Python, and create impactful dashboards using Power BI for data-driven decision-making.
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6 LPA
Average annual salary for Data Analytics professionals
Source : Glassdoor
27k+
Career opportunities related to Data Analytics
Source : Linkedin
25%
Compound annual growth rate of the Data Analytics market
Source : Simplilearn
Overview
Industry-Oriented Data Analytics Training at DIGIT institute
Embark on a transformative journey into Data Analytics at DIGIT institute. Learn essential skills for managing, analyzing, and visualizing data using modern tools and methodologies.
- Learn Data Visualization using Tools like Power BI
Our expert instructors bring extensive real-world experience and personalized guidance, ensuring you not only understand the theory but also apply practical skills. Engage in hands-on projects, case studies, and mock assessments to prepare for a successful career in the dynamic field of data analytics.
- Build Skills in Excel, SQL & Python for Data Analysis
Course Details
Data Analytics Proficiency Path
Explore our Data Analytics curriculum, from Excel basics to advanced SQL, Python data analysis, visualization, and Power BI insights for real-world data mastery.
Excel
Introduction to Excel for Data Analysis
Overview of Excel interface
Basics of navigating and working with sheets
Introduction to cells, rows, columns, and ranges
Understanding basic functions (SUM, AVERAGE, COUNT)
Working with mathematical and statistical functions
Introduction to text functions for data manipulation
Advanced Formulas and Functions
Working with logical functions (IF, AND, OR)
Exploring lookup functions (VLOOKUP, HLOOKUP, INDEX, MATCH)
Introduction to array formulas
Identifying and handling missing data
Removing duplicates and dealing with errors
Text-to-columns and data-splitting techniques
Formatting data for analysis
Creating basic charts and graphs
Tips for effective data presentation
Introduction to PivotTables for dynamic data analysis
Creating PivotCharts for visual insights
Customizing and formatting PivotTables and PivotCharts
Time-saving shortcuts and productivity hacks
Excel with AI
Mastering advanced Excel functions and formulas
Using nested IFs and complex logical expressions
Dynamic named ranges using OFFSET and INDIRECT
Creating interactive dashboards with form controls
Advanced data validation techniques
Leveraging conditional formatting for insights
Working with advanced lookup techniques (XLOOKUP, XMATCH)
Understanding and applying array formulas
Using dynamic arrays and new Excel functions
Advanced PivotTable techniques and slicers
Creating calculated fields and calculated items
Using Power Query for data transformation
Merging and appending queries in Power Query
Creating data models using Power Pivot
Working with relationships and DAX basics
Optimizing workbook performance
Automating tasks with macros and VBA intro
Customizing Excel interface with macro buttons
Collaborating with shared workbooks and co-authoring
Advanced charting techniques for data storytelling
Securing workbooks and protecting data
Using Excel for business intelligence applications
Excel
Introduction to Excel for Data Analysis
Overview of Excel interface
Basics of navigating and working with sheets
Introduction to cells, rows, columns, and ranges
Understanding basic functions (SUM, AVERAGE, COUNT)
Working with mathematical and statistical functions
Introduction to text functions for data manipulation
Advanced Formulas and Functions
Working with logical functions (IF, AND, OR)
Exploring lookup functions (VLOOKUP, HLOOKUP, INDEX, MATCH)
Introduction to array formulas
Identifying and handling missing data
Removing duplicates and dealing with errors
Text-to-columns and data-splitting techniques
Formatting data for analysis
Creating basic charts and graphs
Tips for effective data presentation
Introduction to PivotTables for dynamic data analysis
Creating PivotCharts for visual insights
Customizing and formatting PivotTables and PivotCharts
Time-saving shortcuts and productivity hacks
Excel with AI
Mastering advanced Excel functions and formulas
Using nested IFs and complex logical expressions
Dynamic named ranges using OFFSET and INDIRECT
Creating interactive dashboards with form controls
Advanced data validation techniques
Leveraging conditional formatting for insights
Working with advanced lookup techniques (XLOOKUP, XMATCH)
Understanding and applying array formulas
Using dynamic arrays and new Excel functions
Advanced PivotTable techniques and slicers
Creating calculated fields and calculated items
Using Power Query for data transformation
Merging and appending queries in Power Query
Creating data models using Power Pivot
Working with relationships and DAX basics
Optimizing workbook performance
Automating tasks with macros and VBA intro
Customizing Excel interface with macro buttons
Collaborating with shared workbooks and co-authoring
Advanced charting techniques for data storytelling
Securing workbooks and protecting data
Using Excel for business intelligence applications
SQL
Introduction to SQL and Database Fundamentals
Overview of SQL and its applications
Introduction to Relational Databases
Basic SQL syntax and structure
Creating and modifying tables with CREATE and ALTER
Understanding data types and constraints
Retrieving Data with SELECT Statements
Basics of SELECT statements
Filtering data with WHERE clause
Sorting results with ORDER BY
Aggregation and Grouping
Understanding aggregate functions (SUM, AVG, COUNT)
Grouping data with GROUP BY
Working with complex WHERE conditions
Using operators (AND, OR, NOT, etc)
Window Functions and Analytic Queries
Introduction to window functions
Performing analytic queries with OVER clause
Joins and Subqueries
Performing INNER and OUTER joins
Using subqueries for complex queries
Case Statements and CTE Queries
Understanding and using CASE statements in SQL
Applying CASE statements in data analysis scenarios
Introduction to Common Table Expressions
Using CTEs for recursive queries and data manipulation
Time-saving shortcuts and productivity hacks
Optimization of queries
Optimization of queries using AI
Interview based SQL queries
Working on live project
Working on industry-oriented data
Problem-solving using SQL on industrial data
SQL
Introduction to SQL and Database Fundamentals
Overview of SQL and its applications
Introduction to Relational Databases
Basic SQL syntax and structure
Creating and modifying tables with CREATE and ALTER
Understanding data types and constraints
Retrieving Data with SELECT Statements
Basics of SELECT statements
Filtering data with WHERE clause
Sorting results with ORDER BY
Aggregation and Grouping
Understanding aggregate functions (SUM, AVG, COUNT)
Grouping data with GROUP BY
Working with complex WHERE conditions
Using operators (AND, OR, NOT, etc)
Window Functions and Analytic Queries
Introduction to window functions
Performing analytic queries with OVER clause
Joins and Subqueries
Performing INNER and OUTER joins
Using subqueries for complex queries
Case Statements and CTE Queries
Understanding and using CASE statements in SQL
Applying CASE statements in data analysis scenarios
Introduction to Common Table Expressions
Using CTEs for recursive queries and data manipulation
Time-saving shortcuts and productivity hacks
Optimization of queries
Optimization of queries using AI
Interview based SQL queries
Working on live project
Working on industry-oriented data
Problem-solving using SQL on industrial data
Python
Introduction to Python and Jupyter Notebooks
Overview of Python programming language
Introduction to Jupyter Notebooks for data analysis
Variables, data types, and basic operations
Lists, tuples, and dictionaries
Inbuilt functions
Data Manipulation with Python
Conditional statements and loops
User defined functions
Functions such as map, filter, lambda
Data Manipulation with Pandas
Overview of Pandas Library
Reading and writing data along with basic operations with Pandas
Data Cleaning and Preprocessing with Pandas
Handling missing data
Removing duplicates and dealing with outliers
Cleaning and adjustments in data
Exploratory Data Analysis (EDA) with Pandas
Descriptive statistics and data summarization
Grouping and aggregating data
SQL-like operations in data
Data Visualization with Matplotlib
Creating basic plots (line plots, scatter plots, histograms)
Customizing and styling visualizations
Introduction to NumPy for numerical operations
Working with arrays and matrices
Advanced Data Visualization with Seaborn
Creating informative and aesthetically pleasing visualizations
Pair plots, heatmaps, and advanced plotting techniques
Statistical Analysis with SciPy
Introduction to statistical tests and hypothesis testing
Implementing statistical tests in Python
Final Project and Case Studies
Participants work on a real-world data analysis project
Applying learned Python skills to analyze and visualize data
Python
Introduction to Python and Jupyter Notebooks
Overview of Python programming language
Introduction to Jupyter Notebooks for data analysis
Variables, data types, and basic operations
Lists, tuples, and dictionaries
Inbuilt functions
Data Manipulation with Python
Conditional statements and loops
User defined functions
Functions such as map, filter, lambda
Data Manipulation with Pandas
Overview of Pandas Library
Reading and writing data along with basic operations with Pandas
Data Cleaning and Preprocessing with Pandas
Handling missing data
Removing duplicates and dealing with outliers
Cleaning and adjustments in data
Exploratory Data Analysis (EDA) with Pandas
Descriptive statistics and data summarization
Grouping and aggregating data
SQL-like operations in data
Data Visualization with Matplotlib
Creating basic plots (line plots, scatter plots, histograms)
Customizing and styling visualizations
Introduction to NumPy for numerical operations
Working with arrays and matrices
Advanced Data Visualization with Seaborn
Creating informative and aesthetically pleasing visualizations
Pair plots, heatmaps, and advanced plotting techniques
Statistical Analysis with SciPy
Introduction to statistical tests and hypothesis testing
Implementing statistical tests in Python
Final Project and Case Studies
Participants work on a real-world data analysis project
Applying learned Python skills to analyze and visualize data
Power BI
Case Studies and Discussion & Power BI
Reviewing case studies of Python usage in data analysis
Q&A and discussions on best practices
Introduction to Power BI
Understanding the Power BI interface
Importing data from different sources
Transforming and shaping data within Power BI
Data Modeling and Relationships in Power BI
Creating a data model in Power BI
Understanding relationships between tables
Implementing calculated columns and measures
Using DAX (Data Analysis Expressions) for advanced calculations
Visualizations and Interactivity
Creating common visualizations (bar charts, line charts, etc.)
Customizing visualizations for better insights
Adding interactivity to reports and dashboards
Implementing drill-through actions for detailed analysis
The Art of Storytelling with Data
Principles of Effective Data Storytelling
Importance of narrative in data presentations
Building a cohesive narrative in Power BI
Using bookmarks and storytelling features
Real-Time Dashboards
Setting up real-time data streaming in Power BI
Creating dashboards for live data monitoring
Advanced Features and Custom Visuals
Exploring custom visuals and visuals from the marketplace
Leveraging advanced features like forecasting and clustering
Case Studies and Discussion
Reviewing case studies of effective Power BI usage
Q&A and discussions on best practices in storytelling with data
Power BI
Case Studies and Discussion & Power BI
Reviewing case studies of Python usage in data analysis
Q&A and discussions on best practices
Introduction to Power BI
Understanding the Power BI interface
Importing data from different sources
Transforming and shaping data within Power BI
Data Modeling and Relationships in Power BI
Creating a data model in Power BI
Understanding relationships between tables
Implementing calculated columns and measures
Using DAX (Data Analysis Expressions) for advanced calculations
Visualizations and Interactivity
Creating common visualizations (bar charts, line charts, etc.)
Customizing visualizations for better insights
Adding interactivity to reports and dashboards
Implementing drill-through actions for detailed analysis
The Art of Storytelling with Data
Principles of Effective Data Storytelling
Importance of narrative in data presentations
Building a cohesive narrative in Power BI
Using bookmarks and storytelling features
Real-Time Dashboards
Setting up real-time data streaming in Power BI
Creating dashboards for live data monitoring
Advanced Features and Custom Visuals
Exploring custom visuals and visuals from the marketplace
Leveraging advanced features like forecasting and clustering
Case Studies and Discussion
Reviewing case studies of effective Power BI usage
Q&A and discussions on best practices in storytelling with data
Unique Aspects
Exploring Course Essentials
Embark on a journey to understand the critical elements of our course.
Learn Online
Embark on a learning journey with our diverse courses, available online.
professional Instructors
Begin your learning journey with our accomplished instructors, professionals in their fields.
1:1 Mentorship
Experience personalized growth with our 1:1 mentorship, where dedicated mentors guide you toward success.
Low Student - Teacher Ratio
Benefit from personalized guidance and a supportive learning environment with our small class sizes.
Flexible Learning Options
Enhance your education with flexible choices that fit your schedule and preferences.
Hands-On Projects
Engage in practical, real-world projects to reinforce key skills and essential concepts.
Comprehensive Curriculum
Follow a meticulously designed curriculum that takes you from core fundamentals through advanced, real‑world applications.
Regular Assessments
Keep your learning on track with periodic quizzes and projects that reinforce concepts and measure your progress.
Career Support
Get expert career advice, resume building, and interview prep to launch your dream job.
Your Enrollment Journey
Track Your Progress Toward Enrollment
1. Registration
Register online, provide details, help admissions understand your career goals.
2. Test
Submit application, then an assessment ensures eligibility and program aptitude.
3. Offer Applicable
After review, eligible candidates get scholarship offers and confirmation email.
4. Fee Payment
Review your admission offer, promptly pay fee to confirm enrollment.
Certifications
Advance Your Career with Our Data Analytics Certification
Industry Recognition
Our certifications are well-regarded in the software industry, providing valuable opportunities for career advancement
Skill Validation
Our certifications validate your skills through practical application, equipping you for the workforce and demonstrating your expertise to employers.
Career Advancement
Achieve new heights in your professional journey with our certifications.
What Our Students Say
Shared Experiences from Our Students
Upcoming Sessions
Join Our Upcoming Batches
Secure your spot in the next batch. Limited seats available. Enroll now and start your learning journey with expert-led live training.
Contact for Next BatchesFAQs
Quick Answers to Common Questions
Can't find the answer you're looking for ? Our team is here to help you.
Contact UsNo prior experience is required, although familiarity with basic IT concepts and coding can be beneficial. Our course caters to beginners as well as those looking to enhance their existing skills.
Absolutely! We provide career support services including resume building, mock tests, mock interviews, and job placement assistance to help you kickstart your career in Data Analytics.
Yes, our course includes hands-on projects and practical assignments that simulate real-world scenarios. You'll have the opportunity to apply your skills and work on actual Data Analytics tasks and cloud configurations.
Yes, our online platform provides access to course materials, lectures, and resources, allowing you to study at your own pace.
Enrolling is easy! Simply visit our website or contact our admissions team for more information on course schedules, fees, and enrollment procedures.
This course equips you with the skills and knowledge needed to excel in Data Analytics, a field that is in high demand. With comprehensive training in data wrangling, statistical analysis, visualization, and more, you will be well-prepared for a variety of roles in the industry.