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Menternships: Data Scientist Program

Blended theory and practice, holistic learning experience, and successful professional paths through expert mentorship, and hands-on internships.

Top-Rated 1,023+ Learners

Created By Sahil Garg,+1

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This Course includes:

  • Guidance from Experienced Mentors
  • Practical Hands-On Experience
  • Networking Opportunities
  • Customized Learning Paths
  • Career Development Support

Book a 1:1 Session

 

    Starts at

    This Course is Not Available in your region

    This Course includes:

    • Guidance from Experienced Mentors
    • Practical Hands-On Experience
    • Networking Opportunities
    • Customized Learning Paths
    • Career Development Support

    Book a 1:1 Session

     

    What You Will Learn

    • Opportunity to work on industry projects from top companies in India
    • Solve real-world challenges with a direct workplace context
    • 100% online, offering flexibility to work anytime, anywhere
    • Mentorship from current industry experts in leading corporates
    • Certifications from multiple companies based on project completion
    Show More

    Qualifications for Menternship

    • Enrollment in the Data Scientist course at upGrad KnowledgeHut is a prerequisite.
    • The eligibility criteria for each course are detailed within the respective course curriculum outlines.

    Curriculum

    1.

    Learning Objective:

    NPAs are a three-letter word in the Indian banking industry. Can you design a system for loan approval that minimizes the chances of bad debt due to human error?

    Technologies used:
    • Data Analysis
    • Data Preparation
    • Hypothesis Testing

    Eligibility criteria:

    • Should have completed till end of Week 10


    Please click here to fetch more information on the above-mentioned Menternship.


    2.

    Learning Objective:

    Mine the data from the Play Store and find out what the hottest, most profitable app categories are. You will need to use Python (Data Science) for this menternship.


    Technologies used:
    • Data Analysis
    • Data Preparation
    • Hypothesis Testing

    Eligibility criteria: 

    • Should have completed till end of Week 10


    Please click here to fetch more information on the above-mentioned Menternship.

    3.

    Learning Objective:

    How does YouTube build personalized recommendations for every user? Can the same data science algorithms guide us to find movie recommendations?

    Technologies used:
    • Data Analysis
    • Data Preparation
    • Hypothesis Testing
    • Model Formulation

    Eligibility criteria:

    • Should have completed till end of Week 19


    Please click here to fetch more information on the above-mentioned Menternship.


    4.

    Learning Objective:

    How does Teach for India track 1500+ employees' performance? And why is it important?

    Technologies used:
    • Dashboard Designing
    • Data Analysis
    • Data Preparation
    • Hypothesis Testing
    • Model Formulation

    Eligibility criteria:

    • Should have completed till end of Week 16


    Please click here to fetch more information on the above-mentioned Menternship.


    5.

    Learning Objective:

    What is LSTM? And how to utilize it to predict profit and loss in the stock market? 


    Technologies used:
    • Data Analysis
    • Data Preparation
    • Hypothesis Testing
    • Model Formulation

    Eligibility criteria: 

    • Should have completed till end of Week 27


    Please click here to fetch more information on the above-mentioned Menternship.


    6.

    Learning Objective:

    Is there anything that Python can't solve? Nope. Build a predictive model in the hot field of HR analytics here.

    Technologies used
    • Data Preparation
    • Evaluation
    • Model Formulation

    Eligibility criteria:

    • Should have completed till end of Week 18


    Please click here to fetch more information on the above-mentioned Menternship.


    7.

    Learning Objective:

    A simple and brilliant opportunity to build proof of work in the extremely in-demand data science field of insurtech.

    Technologies used:
    • Data Analysis
    • Data Preparation
    • Hypothesis Testing

    Eligibility criteria: 

    • Should have completed till end of Week 10


    Please click here to fetch more information on the above-mentioned Menternship.


    8.

    Learning Objective:

    HR analytics is one of the biggest areas of work for data scientists. And improving hiring processes is one of the most important problems to solve in this field.

    Technologies used:
    • Data Analysis
    • Data Preparation
    • Hypothesis Testing
    • Model Formulation

    Eligibility criteria: 

    • Should have completed till end of Week 19


    Please click here to fetch more information on the above-mentioned Menternship.


    9.

    Learning Objective:

    Football is more than a sport; it's a religion. Analyze the career of one of the torchbearers of the epic sport!

    Technologies used:
    • Analytical Skills
    • Insight Generation

    Eligibility criteria: 

    • Should have completed till end of Week 13


    Please click here to fetch more information on the above-mentioned Menternship.


    10.

    Learning Objective:

    Here is your chance to build unique proof of work in the hot field of insurance technology!

    Technologies used:
    • Data Analysis
    • Data Preparation
    • Hypothesis Testing
    • Model Formulation

    Eligibility criteria: 

    • Should have completed till end of Week 18


    Please click here to fetch more information on the above-mentioned Menternship.


    11.

    Learning Objective:

    Want to design a machine learning model that can save lives? Here is your chance with this amazing menternship from the field of health analytics.

    Technologies used:
    • Data Analysis
    • Data Preparation
    • Hypothesis Testing
    • Model Formulation

    Eligibility criteria: 

    • Should have completed till end of Week 18


    Please click here to fetch more information on the above-mentioned Menternship.


    12.

    Learning Objective:

    Make the internet a safe place - one hate-free tweet at a time - and also build an exceedingly impressive proof of work in the field of social media analytics.

    Technologies used:
    • Data Analysis
    • Data Preparation
    • Hypothesis Testing

    Eligibility criteria: 

    • Should have completed till end of Week 26


    Please click here to fetch more information on the above-mentioned Menternship.


    13.

    Learning Objective:

    If you don't like fitting your music into a box labeled pop or rock, this menternship is for you. Create your own music genres using data from Spotify and a little bit of Python mojo.

    Technologies used:
    • Data Analysis
    • Data Preparation
    • Hypothesis Testing

    Eligibility criteria: 

    • Should have completed till end of Week 19


    Please click here to fetch more information on the above-mentioned Menternship.


    14.

    Learning Objective:

    EDA practice - if you are eyeing a career in data science, this is the first step of your thousand-mile journey. Master Exploratory Data Analysis.

    Technologies used:
    • Data Analysis
    • Data Preparation
    • Hypothesis Testing

    Eligibility criteria: 

    • Should have completed till end of Week 13


    Please click here to fetch more information on the above-mentioned Menternship.


    15.

    Learning Objective:

    What does it take to don the Orange Cap?

    Technologies used:
    • Analytical Skills
    • Insight Generation

    Eligibility criteria: 

    • Should have completed till end of Week 13


    Please click here to fetch more information on the above-mentioned Menternship.


    16.

    Learning Objective:

    We hope you like cricket. More than that, we hope you like playing with data!

    Technologies used:
    • Analytical Skills
    • Insight Generation

    Eligibility criteria: 

    • Should have completed till end of Week 13


    Please click here to fetch more information on the above-mentioned Menternship.


    17.

    Learning Objective:

    What does it take to get a credit card approved? Let's find out!

    Technologies used:
    • Data Visualization
    • Data Wrangling
    • Data Cleaning
    • Research and Intuition - FinTech
    • SQL Programming

    Eligibility criteria: 

    • Should have completed till end of Week 13
    18.

    Learning Objective:

    What can the likes of ICICI and HDFC banks do to keep their customers happy?

    Technologies used:
    • Data Visualization
    • Data Wrangling
    • Data Cleaning
    • Research and Intuition - FinTech
    • SQL Programming

    Eligibility criteria: 

    • Should have completed till end of Week 4


    Please click here to fetch more information on the above-mentioned Menternship.


    19.

    Learning Objective:

    How do Spotify, YouTube, and Netflix recommend just the right 'play next'? All you need to figure this out is an internet connection and MS Excel.

    Technologies used:
    • Data Analysis
    • Data Preparation
    • Hypothesis Testing

    Eligibility criteria: 

    • Should have completed till end of Week 13


    Please click here to fetch more information on the above-mentioned Menternship.


    What Learners Are Saying

    I am immensely grateful for the invaluable experience gained during this menternship. This menternship has been a transformative journey.


    S
    Snigdha Das

    upGrad GCP DS Learner

    This experience not only improved my proficiency in R/Python, developed skills in leveraging data analytics to address real-world challenges.

    D
    Dhanshri Sawkar

    Project Advisors

    Sahil Garg
    Sahil Garg

    Partnerships Manager

    Sahil at MentorMind works to ensure that partners and learners have an enriching experience. He has multifaceted experience in managing learning programmes for young professionals. 

    Aman Singh Verma
    Aman Singh Verma

    Senior Data Scientist

    Aman is a seasoned data scientist with over four years of extensive industry experience. Driven by a profound passion for leveraging data-driven insights and solutions, he excels in tackling intricate real-world challenges. Aman's talent extends to mentoring, where he exhibits a remarkable ability to guide and inspire the next generation of learners.

    Project Advisors

    Sahil at MentorMind works to ensure that partners and learners have an enriching experience. He has multifaceted experience in managing learning programmes for young professionals. 

    Sahil Garg
    Sahil Garg

    Partnerships Manager

    Aman is a seasoned data scientist with over four years of extensive industry experience. Driven by a profound passion for leveraging data-driven insights and solutions, he excels in tackling intricate real-world challenges. Aman's talent extends to mentoring, where he exhibits a remarkable ability to guide and inspire the next generation of learners.

    Aman Singh Verma
    Aman Singh Verma

    Senior Data Scientist

    Frequently Asked Questions

    Yes, you will experience upGrad KnowledgeHut's immersive learning in an on-demand format. This will include e-learning material to help you:

    • LEARN with recall quizzes, interactive ebooks, and case studies
    • ASSESS your skills progression with diagnostic, module-level, and final assessments
    • PRACTICE with real-world simulations and Cloud Labs
    • GAIN INSIGHTS with real-time reports and analytics on how you're progressing, your learning challenges, and suggestions of sections to revisit to build competency in the required areas.

    Yes, our online course is designed to give you flexibility to skill up as per your convenience. The course is delivered in a Self-Paced mode so that you can balance your work and learning as per your schedule.

    Yes! Upon passing this online course, you will receive a signed certificate of completion from upGrad KnowledgeHut. Thousands of upGrad KnowledgeHut alumni use their course certificate to demonstrate skills to employers and their networks.

    More than the certificate, however, you will get to showcase your newly acquired skills by working on real-world projects and adding them to your portfolio. upGrad KnowledgeHut’s online courses are well-regarded by industry experts, who contribute to our curriculum and use our tech programs to train their own teams.

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