Transform Your Career with AI-Powered Data Analytics in Just 6 Months
Your roadmap to build a global career in Data Analytics by learning relevant skill hands-on and create a portfolio from scratch starts here!
Your Program Mentors
Learn to use these tools effectively
Who is this program for?
Here's what our learners say!
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.
This is What You Will Learn with AI :
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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
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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
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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
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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.
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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.
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Mastering NumPy, Pandas, Matplotlib, and EDA techniques in Python enables comprehensive data analysis, visualization, and insight generation for effective decision-making in various domains.
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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
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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
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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
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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.
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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
1. Data Mastery: Sales Insights and Formulas
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- Improved model performance through iterative testing.
- Ability to evaluate and refine machine learning models.
- Accurate and reliable predictions for crab age.
Major Capstone
Learn and Navigate through the future - Use AI to your advantage
- 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….
How does the program work?
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
Learn the exact roles & responsibilities of a Data Analyst working on an real life projects and case studies
Learn Data Analysis the right way by understanding all aspects of DA in a practical approach in live 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.
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:
Beyond the Online Classroom: Exclusive Offline events
Country-WideOffline Events and Meet-ups
3-Day Offline Immersion Event
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!
Offline Community Events
Bonus
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
Application Review by Counselor
Selection
Onboarding call & Program kickoff
Learn, Practice and complete projects
Build portfolio for resume
Interview prep for Job
Start Interview Process
Whoo-hoo Congrats on your new job
Ready To Become an In-Demand Data Analyst?
Program Details
Premium
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Everything involved in Starter Pack
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Access to 3 Capstone Project
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Access to Feedback on assignments and capstone
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Enjoy 6 months of extended access to mentors for doubt clearing
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Post-program module access for 12 months
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Add on Modules for Linkedin Mastery
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Add on modules on Gen AI for data
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Gen AI Free tools + resource KIT
Starter
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Learn Data Analytics from experts at Google, Microsoft,Amazon, Flipkart and more
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Access to 24 weekly Program Modules of AI Data Analytics Career Accelerator Program
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Access to weekend live and mid-week QnA classes
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Access to 12 weekly assignments
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Learn how to use Chatgpt for Data Analytics
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Post-program module access for 6 months
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Extensive coverage of Gen AI with Topics
In the last 10 hours, 6 learners have onboarded with us
Upscale your Business
Program fees
Upskill your team
FAQs: Here’s everything you may ask...
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.
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.