Next Cohort
This Week
Duration
06 Months . Online
20+
Freelance Projects
Eligibility
Freshers, Graduates, Experienced
What Our Program Offers?
Our Data Analytics program equips you with industry-ready skills through advanced tools and expert support.
- 1:1 Doubt Clearing Session
- Live Hackathons
- Lifetime Career Support
- Webinars And Workshops
- Extensive Course Materials
- 250+ Hours of Self Paced Learning
- 300+ Hours of Live classes
- Industry Expert Mentors
- 360° Placement Assistance
- 24/7 Student Support
- Personalized Learning Paths
- Regular Assessments
- Progress Tracking
- Networking Opportunities
- Flexible Learning Schedules
- Strong Alumni Network
- Interview Preparation
- Certification Programs
- Interactive Learning Platform
- Real World Projects
What Sets inGrade Apart?
Industry-Leading Curriculum
Stay ahead with cutting-edge content designed to meet the demands of the tech world.
Expert Instructors
Learn from top professionals who bring real-world experience to every lesson.
Hands-on learning
Master skills with immersive, practical projects that build confidence and competence.
Placement-Oriented Sessions
Jump-start your career with results-oriented sessions guaranteed to get you the best jobs
Flexible Learning Options
Learn on your schedule with flexible, personalized learning paths.
Lifetime Access to Resources
You get unlimited access to a rich library of materials even after completing your course.
Community and Networking
Connect to a global community of learners and industry leaders for continued support and networking.
High-Quality Projects
Build a portfolio of impactful projects that showcase your skills to employers.
Freelance Work Training
Gain the skills and knowledge needed to succeed as freelancers.
Course Curriculum
This course will equip you with basics of data science skills such as statistics essentials, mathematics. You will learn concept such as skewness, correlation, regression, and distribution, eigenvalues and eigenvector. Programming skills such as data types, variables, strings, loops, and functions such as multithreading and multitasking using Python, Pivots, and lookups in Excel and SQL
- Modules
Excel for Data Analytics
Excel Essentials & Core Functions
- Understand cell referencing and core formulas
- Format data, handle dates/text, and use shortcuts
- Learn basic data validation and error handling
Logic, Lookup & Data Cleaning
- Master IF, AND, OR, VLOOKUP, INDEX-MATCH, XLOOKUP
- Clean data using Power Query tools and conditional formatting
- Handle duplicates, missing data, and errors effectively
Pivot Tables & Advanced Power Query Scenario Management
- Build pivot tables, slicers, and perform drill-downs
- Use Power Query for joins, grouping, unpivoting
- Automate parameter-based transformations
Dashboards, Reporting & What-If Analysis and Forecasting
- Create interactive dashboards with charts and slicers
- Use Goal Seek, Solver, and Scenario Manager
- Build basic forecasts and protected dynamic reports
Power BI for Business Intelligence
Data Loading, Transformation & Modeling (Power Query + DAX Basics)
- Connect and transform data in Power Query
- Understand relationships, star schema, and calendar tables
- Write DAX formulas, use Time Intelligence functions
Data Visualization, Interactivity & Cloud Publishing
- Build interactive reports with filters, tooltips, bookmarks
- Design best-practice layouts and dashboards
- Publish to Power BI Service and schedule data refresh
Tableau Data Visualization
Tableau Foundations & Interface Mastery
- Learn Tableau’s UI, dimensions vs measures, and basic charts
- Work with filters, aliases, hierarchies
- Connect data and understand metadata
Interactivity, Dashboards & Maps
- Create dynamic dashboards and maps with actions
- Use parameters, sets, calculated fields
- Export visuals and design with best practices
Advanced SQL Techniques
SQL Foundations & Basic Data Manipulation
- Learn core SQL syntax (SELECT, INSERT, UPDATE, DELETE)
- Understand data types, NULL, and RDBMS concepts
- Perform basic queries and aggregations
Filtering, Aggregations & Joins
- Use GROUP BY, HAVING, and multi-table joins
- Apply filtering, subqueries, and aliases
- Write nested queries for advanced reports
Window Functions & Advanced Queries
- Master CTEs, CASE, ROW_NUMBER, LAG, etc.
- Perform analytics like cohort analysis, running totals
- Use UNION, INTERSECT, and EXCEPT
Data Modeling, SQL in Python & Optimization Essentials
- Normalize schemas, use views/indexes
- Integrate SQL in Python using sqlite3/pandas
- Understand JSON, triggers, and stored procedures
Statistics & Hypothesis Testing
Statistical Thinking & Descriptive Analytics
- Analyze central tendency, dispersion, and distributions
- Use histograms, boxplots, and scatterplots
- Detect outliers and standardize data
Sampling, Probability & Inferential Statistics
- Apply sampling techniques and CLT
- Understand distributions and conditional probability
- Build confidence intervals and calculate margins of error
Hypothesis Testing & Business Decision-Making
- Perform T-Tests, Z-Tests, Chi-Square, and ANOVA
- Design A/B tests and interpret p-values
- Avoid common errors (Type I/II)
Python Programming
Python Essentials & Core Logic
- Learn syntax, variables, data types
- Use conditionals and boolean logic
- Work with lists, sets, dictionaries
Functions, Comprehensions & Object-Oriented Design
- Write functions, lambdas, and list comprehensions
- Handle files and exceptions
- Understand OOP: classes, inheritance
File Handling, OOPs & External Integration
- Automate file exports (CSV, Excel)
- Parse JSON/APIs and use functional tools
- Apply object-oriented design in scripts
Data Understanding
Data Wrangling with Pandas & NumPy
- Use NumPy arrays and Pandas DataFrames
- Filter, group, merge, and join datasets
- Create pivot tables and aggregations
Data Cleaning, Feature Formatting & Date Handling
- Handle missing data and format strings
- Parse and filter datetime values
- Optimize memory and export clean data
Data Profiling, EDA & Visualization Basics
- Conduct EDA and use profiling tools
- Plot data using Matplotlib and Seaborn
- Customize and export visual reports
Machine Learning
Regression Algorithms & Evaluation
- Build linear/polynomial models
- Train-test split and preprocessing
- Evaluate with MAE, RMSE, R²
Classification Techniques
- Train Logistic Regression, KNN, SVM, Naive Bayes
- Use Decision Trees and Random Forests
- Evaluate using confusion matrix and F1
Model Validation & Optimization
- Prevent overfitting with cross-validation
- Tune models with GridSearch
- Use ROC-AUC for classification performance
Clustering & Association
- Apply K-Means, DBSCAN, Hierarchical clustering
- Discover patterns using Apriori rules
- Analyze results using Support, Confidence, Lift
Text & Image Data Basics (NLP + CV)
- Process text using tokenization, TF-IDF
- Perform sentiment analysis
- Preprocess and classify images
- Soft Skills Program
Technical skillset and your soft skills combine to make you employable. In order to make our learners employable, dedicatedly placement-oriented sessions are conducted while highlighting the use of Github, Linkedin, and other tools during the job search.
- Resume Building
- Communication Skills
- Interview Preparation
- Time Management
- HR Round Guidance
- E-mail Writing
- Personality Development
- Emotional Intelligence
- Conflict Management
- Salary Negotiation
- Creativity
- Get Certification
Post Graduate Program in Data Analytics
06 Months . Online-
1:1 Doubt Clearing Session
-
100+ Hours of Self Paced Learning
-
Lifetime Career Assistance
-
EMI Option Available
Languages and Tools Covered
Projects
Fraud Detection
Analyze transaction data to detect fraudulent activities, developing algorithms to flag suspicious transactions and prevent financial losses.
Skills Needed →
Customer Segmentation
Segment customers based on demographics, behavior, or purchasing patterns to enable targeted marketing and personalized business offerings.
Skills Needed →
Sentiment Analysis
Analyze customer reviews, social media posts, or survey responses to gauge sentiment, providing insights into customer satisfaction and improvement areas.
Skills Needed →
Churn Analysis
Identify factors causing customer attrition and develop predictive models to forecast which customers are at risk of leaving.
Skills Needed →
Supply Chain Optimization
Analyze supply chain data to identify inefficiencies, optimize inventory levels, and improve logistics processes to reduce costs and streamline operations.
Skills Needed →
Energy Consumption Forecasting
Use historical energy consumption data to predict future demand, helping energy companies plan resources and optimize distribution.
Skills Needed →
Healthcare Analytics
Analyze patient data, medical records, or clinical trial data to identify trends, diagnose diseases, and predict outcomes for better healthcare delivery.
Skills Needed →
Traffic Analysis and Optimization
Analyze traffic flow data to detect congestion hotspots, optimize signal timings, and plan infrastructure improvements for better urban traffic management.
Skills Needed →
Case Studies
Hiring Partners
Meet our inGraders
Application Process for inGrade
Career Consultation
Assess eligibility with our Career Counsellor.
Personalized Guidance
Receive an acceptance letter if eligible.
Easy Registration
Pay the booking amount to confirm your seat.
Start Upskilling
Access the curriculum and begin your journey.
Ongoing Support
Receive continuous mentorship and career assistance.
Live Interactive Sessions
Join instructor-led live sessions where you can ask questions, join discussions, and engage with peers. The live sessions will help deepen your understanding while keeping you connected throughout the program.
Live Interactive Sessions
Join instructor-led live sessions where you can ask questions, join discussions, and engage with peers. The live sessions will help deepen your understanding while keeping you connected throughout the program.
Self-Paced Learning Content
Start your learning journey with our comprehensive self-paced modules. Access video lessons, reading materials, and exercises that fit your schedule, allowing you to learn at your own pace and revisit topics whenever needed.
Regular Evaluations
Track your progress with regular assessments. Through quizzes, assignments, and hands-on projects, you’ll continually measure your understanding and improve your skills, ensuring you stay on course.
Regular Evaluations
Track your progress with regular assessments. Through quizzes, assignments, and hands-on projects, you’ll continually measure your understanding and improve your skills, ensuring you stay on course.
Personalized Doubt Sessions
If you need extra help, our experts are available for personalized, one-on-one doubt clearing sessions. Get the support you need to tackle challenging topics at any time confidently.
Hands-On Projects & Case Studies
Work on practical, real-world projects and case studies simulating real-world industry challenges. You apply what you have learned by hands-on approach while enhancing your ability to think critically and creating a portfolio you can take to employers.
Hands-On Projects & Case Studies
Work on practical, real-world projects and case studies simulating real-world industry challenges. You apply what you have learned by hands-on approach while enhancing your ability to think critically and creating a portfolio you can take to employers.
Focused Learning Tracks
Choose specific learning tracks, which focus on specialized learning tracks, including machine learning, data visualization, or artificial intelligence, focusing on what really interests you most and where it would take you towards achieving your career goals.
Industry-Specific Expertise
Get in-depth knowledge in your desired field, whether it’s healthcare, finance, or e-commerce. This specialized expertise will help you stand out and make you more competitive in your industry of interest.
Industry-Specific Expertise
Get in-depth knowledge in your desired field, whether it’s healthcare, finance, or e-commerce. This specialized expertise will help you stand out and make you more competitive in your industry of interest.
Interview Preparation
Be prepared to succeed with comprehensive interview coaching that covers technical, behavioral, and case study questions. Our support extends to career counseling, including resume reviews, job search strategies, mock interviews, LinkedIn optimization, and much more.
Alumni Highlights
-
400+
Global Companies Hiring -
5 LPA
Average CTC -
24 LPA
Highest CTC -
80%
Average Salary Hike
Learning is better with Ingrade
- Launch your career in Data Science today
- Earn up to ₹ 40 LPA at leading companies
- For college students, graduates & working professionals
👋 Connect with our Experts for Free Counselling Session
Frequently Asked Questions
What is the duration of the Data Analytics course at InGrade?
The Data Analytics course spans over 6 months, offering comprehensive coverage of essential topics.
Do I need any prior knowledge to enroll in the Data Analytics course?
No prior knowledge is required. Our course starts with the basics, making it suitable for beginners.
What software and tools will I learn in the Data Analytics course?
You will learn Excel, Power BI, Tableau, SQL, and Python, among other tools used in data analytics.
Are the instructors experienced professionals?
Yes, our instructors are industry experts with extensive experience in data analytics.
Will I get hands-on experience with real-world data?
Absolutely! We provide 20+ live industry projects to give you practical experience.
Is there career support available after completing the course?
Yes, we offer 24/7 career support, including resume building, interview preparation, and job placement assistance.
How can I get my doubts cleared during the course?
We provide 1:1 doubt clearing sessions to ensure you get personalized support.
Can I access the course materials after completion?
Yes, you will have lifetime access to all course materials and recorded sessions.
Are there any certification exams after the course?
Yes, you will receive a certificate of completion after successfully passing the final exam.
Why should I choose InGrade for my Data Analytics course?
InGrade offers a comprehensive, hands-on curriculum taught by industry experts, with strong career support to help you succeed in the field.
