Master Data Analytics, Get Hired
- Mentor-Led Training from FAANG Data Experts
- Real-World Interview Practice
- Beginner to Advanced Data Analyst Training
- Tier 1 and FAANG Companies Success
- Skill Mastery: Focus on the comprehensive skill development.
Your Weekly Mentor-Led Journey

Weekly Meeting with a Mentor

Technical Skills
- Hands-on Coding Exercises and Problem-Solving Practice.
- Master common interview questions to boost your confidence.

Behavioral Skills

Case Studies
Learn from Industry Experts and Seasoned Educators
On-demand technical coaching

Murat Baday


Yasin Ceran


Arafat Mokhtar


Siophan McNamara


Synchronous online classes

Interactive live coding lessons

Detailed feedbacks

Enriching discussions

Career insights and interview tips
Professional Career Support

Extended access to curricular contents

Career guidance with expert mentors

Resume and profile reviews

Practice Interviews

Affiliation with the global network of Magnimind
Complete a Data Science Internship while receiving Mentorship
Our mentorship program offers you:

Affiliation with a Silicon Valley startup

Building your portfolio with industry projects

Receiving guidance from 4+ mentors

Resume and profile reviews

Mock interviews
Project Showcase
Improve Your Data Science Skills Under Mentor Guidance

Our data science internship program offers a unique one-on-one training experience to equip you with the skills needed to build a career in the field.

With expert mentors guiding you every step of the way, you’ll gain hands-on experience working on real data science projects.

This mentor-led program ensures personalized attention and mentorship, allowing you to grow and thrive in a supportive environment.

You will have the chance to affiliate with a Silicon Valley startup and undertake an internship with industry projects.

Don’t miss out on this incredible internship opportunity that combines data science mentorship and practical training to launch your career to new heights.
Explore our core curriculum
Our mentor-led Data Science internship program will be broken up into four modules, each of the first three will last two weeks, and the last module will take nine weeks.
Probability & Statistics
This week lays the groundwork for data analysis by covering essential probability concepts, including basic probability rules, conditional probability, and building distributions. You'll also review key distributions like normal, binomial, exponential, Bernoulli, and Poisson, which are fundamental for understanding and interpreting data patterns.
Data Analytics & Business Analytics
Dive into the core of data analytics and business analytics. Learn how to define and use key metrics, perform hypothesis testing, understand p-values and confidence intervals, and explore various regression techniques (linear, multiple, and an introduction to logistic regression). You'll also be introduced to essential statistical tests and methods for handling data.
Business Needs & Decision-Making
Transition from technical skills to the practical application of data analysis in a business context. Understand how to identify and collaborate with stakeholders, define the scope and practicality of business problems, create project scoping documents, and assess the impact of data-driven decisions.
SQL
Master the language of data with SQL. Learn how to write basic queries, perform joins and unions, utilize aggregate and window functions, create subqueries and tables, work with case statements and regular expressions, and group data for analysis. You'll also learn best practices for handling large datasets efficiently.
Python for Analysts (Part 1)
Begin your journey with Python, a versatile language for data analysis. Get an overview of Python, understand different data types, learn about lambda functions, and discover how to integrate Python with SQL for powerful data manipulation and analysis.
Python for Analysts (Part 2)
Expand your Python skills by exploring essential libraries like NumPy and Pandas. Learn how to clean and prepare data for analysis, use regular expressions for pattern matching, conduct exploratory data analysis (EDA), and create compelling visualizations to communicate your findings.
Tableau
Harness the power of data visualization with Tableau. Learn how to connect to and load data, utilize various visualization techniques, design interactive dashboards, and craft compelling data stories to effectively communicate insights to stakeholders.
Advanced Analytics & Machine Learning
Explore the exciting world of machine learning. Get an introduction to supervised, unsupervised, and reinforcement learning, and learn about various algorithms like Naive Bayes, Support Vector Machines (SVM), Decision Trees, Random Forests, and Neural Networks.
Case Studies & Applications
Apply your knowledge and skills to real-world case studies. Learn best practices for solving case studies, analyze trends and financial data, perform product analysis, develop business strategies, define and use key metrics like ROI, and assess growth potential and opportunity costs.
Interview Strategy and Success
Prepare for your data analyst job search. Develop effective interview strategies, learn how to showcase your skills and experience, and practice answering common interview questions with confidence.
Behavioral Interview Prep
Master the art of behavioral interviews. Understand the STAR method, prepare compelling stories to demonstrate your skills and experience, and practice answering behavioral questions effectively.
Offers and Negotiation
Navigate the job offer and negotiation process. Learn how to evaluate job offers, understand your worth, and negotiate effectively to secure the best possible compensation and benefits package.
Data Platform and Architecture
Gain a deeper understanding of data platforms and architecture. Explore data warehousing, data lakes, unified data models (UDM), database schema design, and data governance principles to effectively manage and utilize data within organizations.
Data Pipeline
Learn how data pipelines work and how they differ from traditional ETL processes. Explore the various stages of data collection, including ingestion, processing, batching, validation, and analysis, to ensure data quality and efficient data flow.
Application Process
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Apply for the program
Fill out our online application form on our website. No prerequisite needed.
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Expect a call from our program administrator
Our program administrator will contact you to set up a meeting with our technical team.
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Interview with our technical team
Our technical team will ask you domain-specific questions to assess your data science knowledge. This will help us to make suggestions to maximize your benefit from the program.
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Start the program – Ready to go
You will be assigned a user id to log in to our online learning platform. You will have access to course materials and the program schedule to begin your journey with us.
Data Science Courses
Course Detail | Beginner ($8,000) |
Intermediate ($6,000)
🔥 Most Popular
|
Advanced ($4,000) |
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Best For | New to DA/BA, need foundational skills | Already working in DA/BA, improving knowledge & interview skills | Experienced professionals refining interview skills |
Course Duration | 24 Weeks 6 Months Support | 15 Weeks 6 Months Support | 8 Weeks 6 Months Support |
Exclusive hiring network & resume coaching | ✔ | ✔ | ✔ |
Mentor-Led Mock Interviews | 10 | 10 | 10 |
Weekly Coaching + 1:1 Mentorship | ✔ | ✔ | ✔ |
Real-World Data Analytics Project | ✔ | ❌ | ❌ |
Certificate + Lifetime Course Access | ✔ | ✔ | ✔ |
Company Internship/Affiliation | ✔ | ❌ | ❌ |
Apply Now | 🚀 Enroll Now | 🚀 Enroll Now | 🚀 Enroll Now |
Mentorship Bootcamp start dates
This is a 15-week program offered three times a year in January, June, and September. Most students devote 10-15 hours a week to the program.
Enroll today and take the first step in becoming a data science professional!
The next batch starts