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Accelerator Program in Data Science

Accelerator Program in Data Science

AI Powered Learning

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    AI Mentor

    AI Powered Learning model offering real-time guidance, instant doubt clarification and tailored 24/7 support.

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    Codeeval: Hands-on Coding Exercises

    Get access to a library of 500+ coding exercises across Python, Java, SQL, DS, ML, and AI.

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Program Outcomes

Elevate your career with Data Science Skills

Become a Data Scientist

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    Understand Data Science from a business & technical perspective.

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    Gain hands-on experience in data & executing end-to-end data workflows.

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    Learn to design, develop, and deploy data-driven solutions with Machine Learning.

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    Elevate your skills and achieve meaningful growth in a short time.

Key program highlights

Why choose the Data Science Accelerator Program

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    Hands-on, industry-relevant program

    Gain practical experience with 25+ case studies, 2 projects, and 12 live sessions led by industry experts.

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    Unparalleled learning support

    Access 24/7 AI-powered support, dedicated Program Managers, expert forums, personalized feedback, and career assistance.

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    Live Virtual Classes

    Study concepts online during weekdays and apply your learning to real-life projects in live virtual classes with industry experts on weekends.

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    Career Support

    Get an E-Portfolio, access to AI mock interviews and guided projects repository.

Skills you will learn

Python

Exploratory Data Analysis

Business Statistics

Supervised Learning

Linear Regression

Model Deployment

GenAI

SQL

Python

Exploratory Data Analysis

Business Statistics

Supervised Learning

Linear Regression

Model Deployment

GenAI

SQL

  • Overview
  • Learning Journey
  • Projects
  • Tools
  • Certificate
  • Faculty
  • Career support
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This Data Science Program is ideal for

Professionals who want to leverage Data science skills to accelerate their careers

  • Early-career professionals

    Professionals looking to build foundational-level skills in Data Science with hands-on experience of key Data Science concepts.

  • Mid-career professionals

    Professionals across various industries who are seeking to acquire Data Science skills and merge them with their existing expertise.

Experience a unique learning journey

Our pedagogy is designed to ensure career growth and transformation

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    Learn with self-paced videos

    Learn critical concepts from video lectures by faculty & data science experts

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    Engage with Industry Experts

    Clarify your doubts and gain practical skills during the live virtual classes.

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    Work on hands-on projects

    Work on projects to apply the concepts & tools learnt in the module

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    Get personalized assistance

    Our dedicated program managers will support you whenever you need

Work on hands-on projects & case-studies

  • 2

    hands-on projects

  • 25+

    case studies

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FOOD AND BEVERAGES

FoodHub Order Analysis

About the Project

Perform an exploratory data analysis and provide actionable insights for a food aggregator company to get a fair idea about the demand of different restaurants and cuisines, which will help them enhance their customer experience and improve the business

Skills you will learn

  • Python
  • Numpy
  • Pandas
  • Seaborn
  • Univariate Analysis
  • Bivariate Analysis
  • Exploratory Data Analysis
  • Business Recommendations
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Hospitality

Revenue Optimization for INN Hotels

About the Project

Analyze the data of INN Hotels to find which factors have a high influence on booking cancellations, build a predictive model that can predict which booking is going to be canceled in advance, and help in formulating profitable policies for cancellations and refunds.

Skills you will learn

  • Exploratory Data Analysis
  • Data Preprocessing
  • Logistic regression
  • Multicollinearity
  • Decision trees
  • Pruning
  • Feature Importance
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Manufacturing

Machine Predictive Maintenance

About the Project

Analyze the data of an auto component manufacturing company and develop a predictive model to detect potential machine failures, determine the most influencing factors on machine health, and provide recommendations for cost optimization to the managements

Skills you will learn

  • Exploratory Data Analysis
  • Data Visualization
  • Decision trees
  • Pruning
  • Scikit-Learn
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BFSI

Predicting Credit Card Eligibility for Bank Partnerships

About the Project

Analyze the data provided by a consultation firm that partners with banks, answer key questions provided, draw actionable insights, and help the company to improve the business by identifying the attributes of customers eligible for a credit card

Skills you will learn

  • Exploratory Data Analysis
  • Data Visualization
  • Pandas
  • Seaborn
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Healthcare

Diabetes Risk Prediction

About the Project

Analyze the historical patient data provided and build a predictive model to help identify whether a person is at risk of diabetes or not

Skills you will learn

  • Exploratory Data Analysis
  • Data Visualization
  • Bagging
  • Random Forests
  • Scikit-Learn

Master in-demand Data Science tools

Get data science training with in-demand tools to enhance your workflow, optimize models, and build data science solutions

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    Python

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    Pandas

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    NumPy

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    Seaborn

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    Matplotlib

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    Statsmodels

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    Scipy

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    Skitlearn

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    Hugging Face

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    ChatGPT

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    SQL

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    Tableau

  • And More...

Certificate of Completion by Great Learning

Get a certificate of completion in Accelerator Program in Data Science by Great Learning

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* Image for illustration only. Certificate subject to change.

Meet your faculty

Meet our expert faculty-professionals with in-depth data science knowledge and a passion to help you succeed

  • Dr. Abhinanda Sarkar  - Faculty Director

    Dr. Abhinanda Sarkar

    Senior Faculty & Director Academics, Great Learning Management, McCombs School of Business, The University of Texas at Austin

    30+ years of experience in data science, ML, and analytics.

    Ph.D. from Stanford, taught at MIT, ISI, and IIM Bangalore.

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  • Dr. Pavankumar Gurazada - Faculty Director

    Dr. Pavankumar Gurazada

    Senior Faculty, Academics, Great Learning

    15+ years of experience in marketing, digital marketing, and machine learning.

    Ph.D. from IIM Lucknow; MBA from IIM Bangalore; IIT Bombay graduate.

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  • Prof. Mukesh  Rao - Faculty Director

    Prof. Mukesh Rao

    Senior Faculty, Academics, Great Learning

    20+ years of expertise in AI, machine learning, and analytics

    Director - Academics at Great Learning

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  • Mr. Udit Mehrotra - Faculty Director

    Mr. Udit Mehrotra

    Data Scientist, Stripe

    10+ years of experience in data science

    Former Data Scientist at Mc.Kinsey & Company, Dell

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  • Mr. R Vivekanand - Faculty Director

    Mr. R Vivekanand

    Co-Founder and Director

    Expert in data visualization and marketing econometrics with 10+ years

    Qualified Tableau trainer passionate about teaching business analytics

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Get dedicated career support

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    Access to guided projects

    Work on 50+ guided projects across top domains and add them to your resume

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    Unlimited Mock Interviews

    Mock Interview with AI for 10+ roles like Data Scientist, Data Analyst, SDE, Python/Java developer.

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    Resume & Profile review

    Get your resume and LinkedIn profile reviewed by our experts to highlight your skills & projects

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    E-portfolio

    Build an industry-ready portfolio to showcase your mastery of skills and tools

Batch Start Date

Got more questions? Talk to us

Connect with a program advisor and get your queries resolved

Speak with our expert +91 79 7117 1318 or email to accelerate@mygreatlearning.com

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