- Popular
Executive Program in Data Science and AI
- 4.5/5 (1500+ Student's Ratings)
In Collaboration with
In collaboration with IBM and Microsoft, our Executive Program in Data Science and AI offers cutting-edge knowledge and hands-on experience, preparing students for successful careers in these dynamic fields.
Next Cohort
This Week
Duration
08 Months . Online
20+
Freelance Projects
Eligibility
Freshers, Graduates, Experienced
What Our Program Offers?
Our Data Science 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
- 400+ 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
- Arithmetic Operators, Sort & Filter, Statistical and Mathematical Functions, Conditional Formatting
- Lookup, Index & Match, Logical, Text Functions, Pivot
Tables - Data Cleaning, What if analysis, Scenario Management.
- Charts, Dashboards, Regression, and Forecasting
Power BI
- Power BI Installation + Introduction to Data Cleaning and
Preparation using Power BI - Introduction to Feature Engineering and Data Modelling in
Power BI. - Introduction to Charts, Maps, and Dashboards in Power BI.
Tableau
- Tableau Installation + Introduction to Tableau, Charts and Maps, Fundamentals of Data Visualization and Reporting.
- Introduction to Calculated Fields, Table Calculations, Aggregations, Granularity and LOD Expressions
- Introduction to Data Extracts, Filters, Tableau Dashboards, Tableau Storyboards, and Formatting.
SQL Course: MySQL, NoSQL, & CQL
- Database Fundamentals, DDL, DML, DQL, CQL Queries.
- SQL Joins, Sub-Queries, Set Operations, and Writing Complex Queries.
- Accessing and Loading Databases and Performing Query Analysis in Python.
- Fundamentals of MongoDB: Documents and Collections.
- Introduction to MongoDB Replica Sets, Sharding, and Indexes.
- CQL (Cassandra Query Language) Fundamentals, Keyspaces, and Tables.
- Advanced CQL Queries, Indexes, and Materialized Views in Cassandra.
Python
- Python Installation + Variables, Operators, Strings, Datatypes, and Data Structures such as Lists, Tuples, Dictionaries, and Sets.
- Functions, Parameters, Arguments, Anonymous Functions, Strings, String methods, Regular Expressions
- Introduction to Loops, Conditionals, Break, Continue, Object Oriented Concepts, and Space-Time Complexity.
Statistics and Hypothesis Testing
- Descriptive Statistics, Basic and Conditional Probability
- Introduction to Inferential Statistics and Hypothesis Testing
Data Analysis and Visualization
- Introduction to Numpy and Pandas
- Introduction to Matplotlib and Seaborn
Data Cleaning, Preparation, Processing
- Dealing with Missing Values, Dealing with Outliers and Skewness, and Encoding Categorical Data
- Introduction to Data Manipulation Functions, Statistical Transformations, and Feature Engineering
- Introduction to Sampling and Resampling Techniques, Introduction to Feature Scaling Techniques.
Machine Learning
- Introduction to Linear and Logistic Regression.
- Introduction to KNN, SVM, and Naive Bayes Theorem.
- Introduction to Decision Trees and Random Forests.
- Introduction to Boosting Algorithms, and Imbalanced
Introduction to Unsupervised Learning
- Introduction and Implementation of K Means and
Hierarchical Clustering. - Introduction and Implementation of PCA and LDA.
Time Series and Recommender Systems
- Time Series Fundamentals, AR, MA, ARMA, ARIMA, SARIMA,
ARIMAX etc. - Content & Collaborative based Filtering.
Introduction to Model Deployment
- Overview of Model Deployment , ML System Architecture,
Packaging ML Model for Production - Serving and Deploying the Model via REST API, Continuous
Integrations, and Deployment Pipelines - Deploying ML API with Containers, Differential Testing,
Deploying to IaaS (AWS EC2).
Natural Language Processing(NLP)
- Fundamentals of Natural Language Processing, Part of
Speech Tagging, Named Entity Recognition - Introduction to Text Classification, Semantics Rule, andFundamentals of Sentimental Analysis.
- Understanding the Complex concepts of Topic Modeling
and Text Summarization Techniques.
Deep Learning
- Introduction to Artificial Neural Networks
- Introduction to Convolutional Neural, Networks and CNN
Architectures.
- Internship Program
- Web Scraping from different websites
- Movement Detection with Computer vision
- Model Deployment in Cloud Services
- Data cleaning with Excel and Python
- Data Visualization with Power BI and Tableau
- Model Accuracy Optimization
- Smart Product Recommendations
- Voice Command NLP Models
- Autonomous Deep Learning Solutions
- ML Database Integration
- Soft Skills Program
- 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
Executive Program in Data Science and AI
08 months . Online-
100% Secure Transactions
-
Multiple Payment Options
-
24/7 Payment Support
-
EMI Option Available
Languages and Tools Covered
Projects
Predictive Maintenance
AI analyzes sensor data to predict machinery failures, reducing downtime and ensuring smooth operations in manufacturing, power plants, and transportation.
Skills Needed →
Fraud Detection
Financial institutions use AI to detect fraudulent patterns in transactions, ensuring consumer protection and system integrity.
Skills Needed →
Personalized Medicine
Data science helps analyze medical and genetic data to predict disease risks and create tailored treatment plans for better healthcare outcomes.
Skills Needed →
Customer Churn Prediction
Businesses use data science to identify customers likely to leave, enabling proactive retention strategies through targeted marketing and improved services.
Skills Needed →
Climate Change Analysis
Data science helps analyze climate data to model weather patterns, assess climate risks, and guide policy decisions to address environmental challenges.
Skills Needed →
Stock Market Prediction
AI and data science are used to analyze market trends and historical data, helping investors make informed financial decisions.
Skills Needed →
Self-Driving Cars
Data science helps analyze medical and genetic data to predict disease risks and create tailored treatment plans for better healthcare outcomes.
Skills Needed →
Recommender Systems
Recommender systems analyze user data to suggest personalized products or content, improving user experience on platforms like streaming and shopping sites.
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 -
60,000
Average Package -
£100,000
Highest Package -
84%
Average Hike
Learning is better with Ingrade
- Launch your career in Data Science today
- Earn up to £200,000 Per Annum at leading companies
- For college students, graduates & working professionals
👋 Connect with our Experts for Counselling Session
Frequently Asked Questions
What is the difference between Data Science and AI?
Data Science focuses on extracting insights from data, while AI involves creating intelligent systems that can perform tasks typically requiring human intelligence.
Do I need a background in programming to start a Data Science and AI course at InGrade?
While it’s helpful, InGrade offers beginner modules to get you up to speed on necessary programming skills.
Which programming languages are essential for Data Science and AI at InGrade?
Python and R are the most commonly used languages, with Python being particularly popular in AI.
What are the prerequisites for enrolling in a Data Science and AI course at InGrade?
Basic knowledge of mathematics, statistics, and some programming experience is beneficial, but not mandatory.
What kind of projects will I work on during the InGrade course?
Projects include real-world data analysis, machine learning model development, data visualization, and AI system implementation.
How long does it take to complete a Data Science and AI course at InGrade?
It depends on the program, but typically it ranges from a few months to a year.
Will I receive a certification upon completion from InGrade?
Yes, InGrade provides a certification upon successful completion of the course.
Can I take InGrade's course online?
Yes, InGrade offers flexible online versions of their Data Science and AI courses.
What is the job market like for Data Science and AI professionals?
The demand for skilled Data Science and AI professionals is high, with competitive salaries and opportunities across various industries.
What kind of support is available during the InGrade course?
Support includes 1:1 doubt clearing sessions, mentorship, forums, and live chat assistance.
