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Transform Your Career with AI-Powered Data Analytics in Just 6 Months

Join thousands who've transformed their careers by mastering both data analytics and AI. Build a job-winning portfolio, work on real projects, and land opportunities at global companies!

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Designed by
Harish Mahale

Learn Data Analysis from mentors who have worked with brands like

Application deadline
18th Aug, 2024
Base camp Starts on
22nd Dec, 2024

Your Program Mentors

Maaheen Jaiswal
Data Analyst
Gaurav Vij
Measurement & Analytics Lead, Google
Deeksha Anand
Founder, OneStopData
Harish Mahale
Founder, TopN Analytics
Neha Jain
Data Scientist
Shubhrajit Basu
Data Analyst Manager
Rohan
Data Analyst
Kumpal Dhruv
Data Analyst
Arif
Data Analyst

Learn to use these tools effectively

AI & Automation Tools

Who is this program for?

Make data analysis easier with AI
Learn how to use AI tools alongside analytics to simplify complex data work and make it more efficient and impactful. Perfect for anyone looking to stay ahead in the changing world of data.
Freshers in any field
Learn the ins & outs of what life looks like as a Cloud Data En. So you can make an informed decision on further choosing your career path.
Working Professionals
Understand your current skill set and develop the skills required to successfully transition into Data Analytics.
Data enthusiasts with ~7 years of experience
Hone your Data skillset and become valuable for your company

Here's what our learners say!

Yash Maheshwari
Data Analyst | Finance Enthusiast | CMA Finalist | Open to Work
My friend recommended this as he got job after completing certification from here and you guys give a very good explanation of each and every topic it was actually a deep dive program which was very helpful for me and it added a lot of opportunities in my career.
Rajat Vidhate
Cluster Head
The course not only provided me with a solid foundation in data analytics but also equipped me with the skills and knowledge necessary to excel in this field. The teaching staff is very experienced and gave industry-based case studies for a good understanding of real-world data problems. The curriculum was comprehensive and well-structured. I would highly recommend the course to anyone who wants to develop a solid foundation in data analytics.
Nishath Sultana
Manager - Platform Implementation Lead at Cognizant
Data Analytics course from Growth School helped me learn the perspective of looking at problems with business driven solutions strategically through Data Analysis skills.
Python, SQL, Power BI being the major requirements the tutor has touched upon all of the required content to master Data Analytics.
However, The approach to impact the train big for people with no background in this aspect is good.
Anjali Sushil V
Data Analyst
This course has been designed in such a way that even a beginner like me could easily follow. So it was very easy for us to learn and practice. Like by doing the assignments and more like a practice session for us. The course helped me to land a job in startup.
Pooja Negi
B.Sc (Hons) Statistics || Mata Sundari College
Thanks GrowthSchool for such a opportunity and i m really greatful to be a part of it. A lot of thanks to the team who made this Hackathon possible Surya Saxena Niharika .. for helping us throughout the event.
Siddharth B.
Data Analyst
The mentors made the SQL and Python journey look so easy and I was easily able to grasp this. My interview experience in Amazon was really good as the questions the interviewer were asking, I was easily able to grasp and understand that this was taught during the class. So, I cleared the IJP written test and interview at Amazon and joined as a CS data analyst.
More Testimonials Click here

This is What You Will Learn with AI :

Learn
Practice
Module 1
Introduction to Data Analysis
Gain a foundational understanding of the field of Data Analysis:
  • You’ll learn about the roles and responsibilities of a data Analyst, the processes involved in data Analysis, and an overview of the data Analysis landscape
Module 2
Excel/Google Sheets
  • ‍Master Excel proficiency and data analysis techniques, empowering students to make informed decisions and create impactful dashboards through comprehensive training in spreadsheet software and statistical analysis
Module 3
SQL
  • Introduce students to SQL fundamentals, MySQL installation, database manipulation, and optimization techniques, fostering proficiency in database design, normalization, and performance enhancement for real-world applications
Module 4
Applied Statistics
  • Refresh your statistical knowledge with a focus on measures of dispersion, descriptive statistics, probability distributions, sampling techniques, inferential statistics, and their practical applications in various industries, including regression and correlation analysis.
Module 5
Data Visualization- PowerBi
  • Master Power BI for comprehensive business data visualization using visualization techniques, Power Query, and DAX functions, alongside NumPy, Pandas, and Matplotlib for advanced data manipulation, analysis, and visualization, enriching exploratory data analysis skills for insightful insights.
Module 6
Python
  • Mastering NumPy, Pandas, Matplotlib, and EDA techniques in Python enables comprehensive data analysis, visualization, and insight generation for effective decision-making in various domains.
Module 7
Data Visualization: Tableau and Looker Studio
  • Acquire essential skills in data visualization and storytelling, then explore Tableau's workspace, chart creation, data preparation, and advanced analytics features to craft impactful dashboards and stories
Module 8
Introduction to AI ML
  • Gain insights into machine learning fundamentals, including types, project stages, and key concepts, then explore scikit-learn, evaluation metrics, algorithms, text preprocessing, and case studies for practical application
Module 9
ChatGPT & LLM
  • Master AI tools like ChatGPT and DALL-E, delve into multi-modal AI, and learn effective prompting methods while avoiding common mistakes. Additionally, excel in Excel functions, SQL queries, Python-to-R translation, text analysis, ML algorithms, data cleaning, aggregation, and visualization, all with AI support
Module 10
Problem Solving & Business Sense
  • learners acquire a comprehensive understanding of metric design, statistical experiment setup, and the importance of variables and KPIs in business contexts. They embark on mastering metric construction, impactful experimentation, and confidently addressing KPI-centric interview queries.
Module 11
Job Ready
  • learners gain proficiency in leveraging LinkedIn and other resources for job search optimization, understanding career opportunities, preparing for diverse interviews, and strategizing career progression, providing invaluable knowledge for all job seekers.

Assignments

You will receive assignments for each topic to enhance your practical skills.

1. Data Mastery: Sales Insights and Formulas

This project involves an in-depth analysis of sales data by performing tasks such as date and price formatting, data organization into multiple sheets, and styling for clarity. You'll create essential formulas for revenue calculations, use VLOOKUP to connect data points, and apply statistical analysis techniques.
  • Enhanced data presentation and readability.
  • Accurate revenue calculations and data relationships.
  • Improved ability to apply statistical methods to business data.

2. Dynamic Revenue Visualization with Pivot Tables

Utilize Excel Pivot Tables to dissect and visualize yearly and product-wise revenue trends. This project also includes creating dynamic charts and an interactive dashboard to showcase sales patterns and key metrics comprehensively.
  • Proficient use of Pivot Tables for revenue analysis.
  • Insightful visualizations and interactive dashboards.
  • Clear understanding of sales trends and key performance indicators.

3. SQL Basics for Revenue Analysis

Focus on fundamental SQL skills by constructing schemas, managing tables, and querying data to uncover sales trends and revenue by salesperson. This project aims to solidify your understanding of SQL basics and enhance your data analysis capabilities.
  • Mastery of SQL basics and data management.
  • Ability to analyze sales and revenue trends using SQL.
  • Enhanced SQL querying and data manipulation skills.

4. Advanced SQL Techniques for Sales Insights

Execute complex SQL queries involving CTEs, JOIN operations, and advanced functions on a sales dataset. This project includes calculating yearly sales, manipulating date and string fields, and categorizing data for deeper revenue analysis.
  • Advanced proficiency in SQL querying.
  • Capability to perform in-depth sales data analysis.
  • Enhanced skills in using CTEs, JOINs, and window functions.

5. Comprehensive SQL Stored Procedures for Order Analytics

Create and manage SQL Views, Stored Procedures, and Functions to filter and analyze order data, focusing on monthly trends and profit margins. This project will also prepare you for SQL interviews by reinforcing key concepts and practical exercises.
  • Advanced skills in SQL stored procedures and functions.
  • Ability to manage and analyze order data effectively.
  • Enhanced SQL knowledge and interview preparation.

6. Diverse Statistical Analysis on User Data

Conduct various statistical analyses, including financial equality, airline punctuality, air quality, stock investments, and solar panel outputs. This project aims to develop a broad range of analytical skills through diverse real-world scenarios.
  • Proficient in applying statistical methods to different datasets.
  • Enhanced analytical skills across multiple domains.
  • Ability to derive actionable insights from complex data.

7. Practical Application of the Central Limit Theorem

Apply the Central Limit Theorem (CLT) to real-world scenarios, such as calculating probabilities and conducting stratified sampling. This project bridges theoretical concepts with practical applications to aid informed decision-making.
  • In-depth understanding of the Central Limit Theorem.
  • Practical application of statistical principles to real-world problems.
  • Improved decision-making through statistical analysis.

8. Interactive Grocery Shopping System in Python

Develop a Python-based grocery shopping system with user interaction features such as item selection, quantity inputs, and error handling. This project also includes creating a function to sum elements from two lists, focusing on control structures and data handling.
  • Competence in Python programming and user interaction.
  • Ability to manage dynamic data and handle errors effectively.
  • Enhanced understanding of Python lists and functions.

9. Titanic Data Insights: Null Value and Survival Analysis

Analyze the Titanic dataset by cleaning data, handling missing values, and exploring survival patterns. This project involves comparing survival rates across demographics, examining outliers, and calculating descriptive statistics.
  • Expertise in data cleaning and preprocessing.
  • Ability to uncover insights into survival patterns.
  • Improved skills in statistical analysis and feature relevance assessment.

10. Exploratory Data Analysis of Bike Rentals and Weather Patterns

Perform Exploratory Data Analysis (EDA) on Seoul’s Bike Sharing dataset, including data cleaning, feature engineering, and correlation analysis. The project concludes with a comprehensive report and visualization of key trends and insights.
  • Proficiency in EDA techniques and data visualization.
  • Clear understanding of bike rental patterns and weather impacts.
  • Ability to generate actionable insights from data analysis.

11. Airbnb Market Trends: Visualizing Bed Distribution and Pricing

Utilize Tableau to analyze Airbnb data, focusing on host growth, bed distribution, and pricing trends. Create interactive visualizations and dashboards to reveal insights into the Airbnb market.
  • Expertise in Tableau for data visualization.
  • Clear insights into Airbnb market trends and pricing.
  • Enhanced ability to present data interactively.

12. Predictive Modeling for Crab Age Estimation

Develop a Logistic Regression model to predict crab age based on UCI dataset features. The project includes data analysis, preprocessing, feature selection, and model tuning to improve prediction accuracy.
  • Proficiency in logistic regression and predictive modeling.
  • Enhanced skills in data preprocessing and model tuning.
  • Accurate predictions and insights from the model.

13. Model Refinement and Evaluation for Crab Age Prediction

Build and refine a machine learning model for predicting crab age, testing it on unseen data and outputting predictions to a CSV file. This project focuses on iterative improvement and model evaluation.
  • Improved model performance through iterative testing.
  • Ability to evaluate and refine machine learning models.
  • Accurate and reliable predictions for crab age.

Major Capstone

This project involves enhancing Walmart's customer trip classification by developing a model that predicts shopping trip types using transactional data, such as purchase details and product information, aiming to improve customer experience by better understanding shopping behaviors.

Learn and Navigate through the future - Use AI to your advantage

Exclusive Module on Leveraging AI & ChatGPT as a Data
  • Understand ChatGPT and Become a
    Master Prompter
  • Gen AI for all data roles
  • How Gen AI can help you in data
    engineering
  • How Gen AI can help Data Scientists

Get life-time access to an exclusive community

Of like-minded people looking to build, accelerate or enhance their existing careers by learning strategic growth frameworks.Through this community, you can….

Collaborate on real-life projects
Meet and learn with others pursuing the same path as you
Community Accountability
Growthschool fellows collaborate on projects, find opportunities to learn and grow together while keeping each other accountable.
Get ALL your questions answered on LIVES
Participate in live Q&As, debates, and other healthy contests to drive home the learning.

How does the program work?

On-Demand videos

6 months of step-by-step pre-recorded video training & course material to help you dive deep into the fundamentals of Data Analysis, crack case interviews & kick-start your career as a
Data Analyst

Industry case studies and projects

Learn the exact roles & responsibilities of a Data Analyst working on an real life projects and case studies

Weekly LIVE Sessions with Mentors

Learn Data Analysis the right way by understanding all aspects of DA in a practical approach in live sessions.

Weekly Jamming & Networking Sessions

Learning doesn’t have to be lonely.Learn, Discuss, Network, Grow together!
 
Every week, there will be a live session for you to discuss and share ideas with your peers, and jam on different projects so you can learn while having fun.

Lifetime Access to Community 

Become part of a community where you can network, share opportunities, and build relations beyond work.

By the end of the program you’ll
have:

Make your 0-1 journey in Data Analysis, with opportunities to work through real-world Data problems
With improved problem-solving skills, break down complex business problems into structural components and come up with solutions that create a massive impact.
Increased understanding of the Data & Tech  industry through insights from the mentors as well as the community.
Crack case interviews at top companies as a Data Analyst with the right strategies and approach to follow

Beyond the Online Classroom: Exclusive Offline events

Country-WideOffline Events and Meet-ups

Product Teardowns
GrowthSchool Mixers
GrowthSchool Townhalls
Recreational Brunches

3-Day Offline Immersion Event

Learn. Collaborate. Transform.
Day 1
Check-in
Ice-breaking activity
Keynote by CXOs
Mega Hackathon
Day 2
Networking Activities
Category-specific Hackathons
Day 3
Activities
Check-out

Other Offline Events

Monthly Welcome Brunch

Join the Inner Circle! Connect, share, and build connections over great food—monthly in your city.

Community Events

Learn directly from leaders, ask tough questions, and expand your horizons at these offline events.

Offline Graduation Ceremony

Celebrate in Style! Mark your achievements with a graduation ceremony to remember.

Before you ask!

Go back to
Yes! You will be certified with not one but two certificates post-completion.

Offline Community Events

Bonus

(Only for first 50 people)
1
Access to Nocode Mastery to learn how to build different projects using 10+ nocode tools
2
Access to LinkedIn Mastery to learn how to optimise your LinkedIn profile to turn it into recruiter magnet
1
Access to Growthschool Data engineering Workshops for free
2
Access to 100+ Interivew questions and cheatsheet to crack your next Data role

How the Journey looks?

Growthschool Data engineering Program is an invite-only 6 Month immersive cohort-based program with a lifelong community to help you achieve your goals and build relationships.

Application  Process

Fill out the application form to apply for the Data Analytics Program

Application  Review by Counselor

Eligibility check for final confirmation

Selection

Final Selection to the program

Onboarding call & Program kickoff

Welcome to the 6 months of madness, to learn, and hit your goals.

Learn, Practice and complete projects

Meet & network with your fellows

Build portfolio for resume

Celebrate your achievements and learnings with the community

Interview prep for Job

Meet & network with your fellows

Start Interview Process

Growthschool's Exclusive Program

Whoo-hoo Congrats on your new job

Ready to Transform Data Analytics with AI?

OFFERINGS
Learn from experts at Google,Amazon, and more
Access to 24 AI Data Analytics modules
Live sessions & QnA classes
Access to weekly assignments
6-month post-program access
Extensive Gen AI coverage
Access to 3 Capstone Projects
3 IBM Certifications
Personalized project feedback
12 month post-program access
LinkedIn profile optimization
Free GenAI Resource Kits
1:1 Mock Interview
Interview Preparation Kit
PREMIUM
Apply Now
ELITE
Apply Now

Program Details

Premium

at  ₹65,000 ₹80,000
Discount available till enrolment before 3 Aug
  • Everything involved in Starter Pack
  • Access to 3 Capstone Project
  • Access to Feedback on assignments and capstone
  • Enjoy 6 months of extended access to mentors for doubt clearing
  • Post-program module access for 12 months
  • Add on Modules for Linkedin Mastery
  • Add on modules on Gen AI for data
  • Gen AI Free tools + resource KIT

Starter

at  ₹38,000 ₹50,000
Discount available till enrolment before 3 Aug
  • Learn Data Analytics from experts at Google, Microsoft,Amazon, Flipkart and more
  • Access to 24 weekly Program Modules of AI Data Analytics Career Accelerator Program
  • Access to weekend live and mid-week QnA classes
  • Access to 12 weekly assignments
  • Learn how to use Chatgpt for Data Analytics
  • Post-program module access for 6 months
  • Extensive coverage of Gen AI with Topics
Apply Now

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On-Demand video content
Project driven approach to achieve outcomes
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Office hours with Mentors for clearing blockers
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FAQs: Here’s everything you may ask...

Who is this program for?
This Data Analytics program is designed for aspiring data analysts, students, graduates, business analysts, current data professionals, career switchers, technical professionals, entrepreneurs, consultants and a wide range of professionals. Whether you are looking to start a new career, upskill, or leverage data analytics and AI in your current role, this program provides comprehensive training to help you achieve your goals.
What is the application process?
Our application process begins with a comprehensive form designed to understand your background and aspirations. Completing this form is the first step toward joining our exclusive program.
What qualities are you looking for in candidates?
We are looking for proactive, enthusiastic, and serious candidates who are committed to making a significant career transition and 100% dedication to learning.
Are there any prerequisites for this program?
There are no specific requirements to join our program. All you need is a hunger to learn and basic computer skills, including the ability to use Excel. We will teach you everything else you need to know during the course.
Is this a Job Guarantee Program?
No, there is no job guarantee from our end. We provide interview guarantee(Elite program), with Job assistance(Premium) which includes:- Building your portfolio with minimum 3 unique projects- Interview Preparation through 1 on 1 with Mentors (If taken) + Practice Questions- Access to our community of Mentors and learners for scoring referrals.- Passing your profile to potential hiring managers and partners.
When do the live sessions happen?
This is a weekend live session program, call with a dedicated mentor will happen on timing decided by running a poll in the whatsapp group. Once done, the timing will be fixed for the rest of the course. (Timings are subject to change depending on Mentor availability, Group availability)
What if I can’t make the live sessions?
Growth School's Data Analytics Career Accelerator Program is designed to work with your schedule because we run polls in the cohort before setting the time.

We strongly encourage you to attend the Live sessions, as it's an opportunity to validate/resolve your top burning questions with an expert.

Of course, you can always watch the session recordings and participate in discussions or leave your feedback on our community forum.
How much Mentor access is available for a learner?
Our mentors will be active during the live sessions and answer any doubts/queries you raise during the session. You can also approach them for feedback during both group and guest sessions.
How much time can I expect to spend on the program each week?
At least 5-7 hours per week with hands-on practice, for the 24 weeks of the program. 

This program is a sprint, and you’ll be asked to execute things as well. The guest/group live sessions will be 90 minutes long each. And the recorded content for the week will also be ~3 hours. Which is a 6 hour commitment from our end.
What’s included with the program?
With live sessions, you’ll also have lifetime access to all the pre-study material, recordings of the live cohort sessions, guest sessions, and a private online community where you can interact with your batchmates.You’ll retain access to the program materials and community indefinitely after the program ends.
When will I get my GrowthSchool Certificate?
Individuals who successfully complete their 80% course work i.e. cover all learning modules & project submissions, are eligible to receive a Certificate of Completion from GrowthSchool which acts as a seal of trust for your proof of work under the guidance of industry leaders.
For any support, please mail to [email protected]. Our support team will get back to you within 24 hours. The brands and companies that the instructors of growthschool are working or have worked, have no relation what so ever with Growthschool.
Refund Policy
©️ 2024 Sisinty Pvt. Ltd. All rights reserved.
Refund Policy
Thanks for your interest in GrowthSchool. We ensure to provide an excellent experience and learning to all our users. As with any online purchase experience, some terms and conditions govern the Refund Policy. When you purchase a program on GrowthSchool, you agree to our Terms & Conditions and refund policy.

Our refund policy is as follows:

Once you purchase and make the required or partial payment, there will not be any changes or modifications to the same, nor will there be any refund.

GrowthSchool reserves the right to postpone/cancel the course, change the structure of the course or change the list of speakers. If GrowthSchool cancels the entire course, we'll refund 100% of the course fees to the Subscriber.

Once the program begins, we will initiate no refund if the course timeline is extended.

We will issue no refund if the course commencement date is changed.

No refunds or credits will be available for participants who fail to attend the course.

There will be no refunds if the structure/content of the course is altered.

GrowthSchool reserves the right to revise the terms & conditions of this policy without any prior notice.

The course is non-transferable.

The course cannot be transferred to others in case you are unable to take the course under any circumstances.