Data Skills That Get You Hired!

Our data science and analytics course gives you the world-class curriculum, hands-on practice, and mentors to help you get your dream job quickly.

In Collaboration With :

Get Yourself Hired at Top Companies Like

Learn by Doing & Collaborating, Not Just Watching

Project-Centric Modules

Learn by doing, not just theory – for real-world applicability.

Industry-Relevant Curriculum

Prepare for work with a curriculum that meets real-world demands.

Personalized Feedback

Get personalized feedback to improve every step of the way.

Peer Collaboration

Collaborate with peers to boost understanding and succeed as a team.

Mentorship Program

Mentors support you through challenges, smoothing your learning journey.

Career-Ready Portfolio

Stand out to employers by showcasing your skills for a ready-to-go job hunt.

Get to Know These Skills and Tools as You Learn

As you go through the data science and analytics course, our mentor supports you with skills and tools, keeping you ahead.


Learn computer basics and coding easily.

Data Wrangling

Master cleaning and organizing data.


Turn complex data into clear visuals

Data Management

Handle data like a pro with ease.

Data Storytelling

Learn to tell stories with data in a simple way.

Attention to Detail

Spot small things that make a big difference.


Make things work better for the best results.


Team up with members from various backgrounds.

Customized Learning for Every Aspiring Pro

Whether you’re at work, in school, or thinking about a career change, data science is a valuable skill that can be your key to accessing new opportunities.

Your Common Challenges

Our Customized Solutions

Your Common Challenges

Our Customized Solutions

Your Common Challenges

Our Customized Solutions

Your Common Challenges

Our Customized Solutions

Ready, Set, Learn: Sign Up in Minutes

Our quick and easy sign-up makes starting your learning journey a breeze. No fuss, no delays – just sign up!


Sign up and start the course in a minutes.


Learn new things from interesting lessons.


Do hands-on exercises to really learn & grow.

Get Job Ready

Equip yourself for a job with useful expertise.

Meet Your Instructor

Uttam Grade

Data Scientist 

Aqib Ahmed

ML Engineer

Vaishnavu C V

Cyber Security Trainer

Indrajeet Kumar

Full Stack Developer

Ankit Deshmukh

Sr. Software Engineer

What You'll Learn

Advance excel - Module 1

Advanced Formulas and Functions

  • Data Analysis and Visualization
  • Advanced Data Manipulation Techniques
  • Power Query and Power Pivot
  • Macros and VBA Programming
  • Data Integration and External Data Sources
  • Advanced Charting and Visualizations
  • Excel Solver for optimization and what-if analysis
  • Collaborative Features for teamwork and document review
  • Excel Automation and Productivity Tips
  • Introduction to Data Base
  • SQL Commands
  • DDL
  • DML
  • DQL
  • Implicit and Explicit data type conversion
  • Subqueries, Queries and Joins,Data Sorting and Data Manipulation
  • Introduction to Power BI
  • Data Source Connectivity
  • Data Transformation and Modeling
  • Data Visualization
  • DAX (Data Analysis Expressions)
  • Power Query
  • Advanced Data Modeling
  • Measures and KPIs
  • Advanced Visualizations
  • Data Refresh and Sharing
  • Collaboration and Collaboration
  • Power BI Service
  • Power BI Mobile
  • Advanced Analytics and AI
  • Security and Data Governance
  • What is Statistics?
  • Descriptive and Inferential Statistics
  • Types of Data
  • Measures of Central Tendency
  • Mean
  • Median
  • Mode
  • Comparison between Mean, Median and Mode
  • Measures of Dispersion
  • Range
  • Inter Quartile Range
  • Standard Deviation
  • Variance
  • Normal Distribution
  • Empirical Rule
  • Chebyshev Rule
  • Five Number Summary
  • Skewness
  • Outlier… and more.
  • Installing Python
  • Python IDEs
  • Jupyter Notebook Overview
  • Python Basic Data types
  • Lists
  • Dictionaries
  • Tuples
  • Numpy
  • Pandas
  • Matplotlib
  • Seaborn
  • Exploratory Data Analysis
  • Statistics and Probability with Python
  • What is Data Science?
  • What is Machine Learning?
  • Linear Regression
  • Linear Equation- Slope Intercept
  • R square value
  • Regression
  • MSE
  • RMSE
  • MAPE
  • Practical Implementation-Linear Regression
  • Logistic regression
  • Confusion Matrix
  • Precision
  • Recall
  • Specificity
  • F1 Score
  • Practical Implementation-Logistic Regression
  • Underfitting
  • Overfitting… and more.

See, What Our Learners Are Saying

“YHills data science course is top-notch, offering practical insights and excellent support—worth every penny.”

Ryan Miller

“Data science course at YHills is outstanding! Practical, clear content, excellent support. Highly recommend for anyone in the field.

Ashley White

“The course at YHills, with its resources like recorded lectures and reading materials, equipped me with skills and confidence for a career shift.”

Brian Taylor

“Thoroughly impressed with YHills data science course, providing practical skills, clear content, and a supportive environment for aspiring data scientists.”

Emma Garcia

Course Completed – What's in Store for You?

Earn Industry-Recognized Certificates Upon Completion!

Validate your newly acquired skills and boost your credibility as a qualified candidate in the eyes of potential employers. Earn industry-recognized certificates upon course completion.

Be a Part of Our Growing Community!

When you enroll in our course, we want to make you feel like part of our community right from the start. Get our exclusive merchandise delivered straight to your doorstep and stay motivated throughout your learning journey with our creative and high-quality gifts.

Experience the full benefits of being part of our growing community.

Industry Trends

Professionals with expertise in data science and analytics are in growing demand across diverse industries.


Data analyst searches have surged by 265% in the past 5 years, highlighting a rising demand for data analysts.


The demand for data scientists is set to skyrocket, creating between 364,000 to 2,720,000 new data science positions.

$272.0 Bln. Growth

The data science platforms market, valued at USD 96.3 billion in 2022, is projected to reach USD 272.0 billion by 2027.

Master Full Stack Web Development on a Budget!

Quality learning, simplified and budget-friendly – just for you!

Industry Experts
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Real World Projects
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Hours of Live Classes
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$500 $350

Get Ready for a Job – Start Today!
Starting from $70/Month With Easy EMIs

Access EMIs in few easy steps!

Frequently Asked Questions

At YHills Edutech, we believe in providing excellent customer service, ensuring that all your queries are answered promptly and efficiently.
Is this course suitable for beginners in data science?

Yes, absolutely! Our course is designed to cater to beginners and gradually build up to advanced concepts.

No specific background is required. Basic familiarity with math and a curiosity about data are helpful, but we cover the essentials.

Yes, the course is designed to be flexible, allowing you to learn at your own pace and accommodate your schedule.

No prerequisites. We guide you through the setup and usage of all necessary tools as part of the course.

Completion times vary, but most learners finish in about 3 to 6 months, depending on the time commitment.

Yes, we offer dedicated support through forums and regular Q&A sessions to help you with any challenges you encounter.

Yes, you will receive a certificate of completion and merchandise as well to showcase your newly acquired skills.

Yes, we regularly update the course content to incorporate the latest advancements and industry trends.

Yes, we encourage collaboration and provide a platform for students to connect and share their experiences.

Our course emphasizes practical application, real-world projects, and a learner-friendly approach, making it accessible and effective.

Predictive Maintenance for Industrial Equipment

Objective: Develop a predictive maintenance model using Time-Series Forecasting and Anomaly Detection to anticipate equipment failures and reduce downtime.


  • Sensor data analysis
  • Time-series forecasting
  • Anomaly detection

Sentiment Analysis on Customer Reviews

Idea: Analyze customer reviews to understand sentiment and feedback about products or services.


  • Natural Language.
  • Processing (NLP).
  • Text sentiment analysis.
  • Visualization of sentiment trends.

Customer Churn Prediction in Telecom Industry

Idea: Build a model using Customer Segmentation and Predictive Modeling to predict customer churn and identify influencing factors.


  • Customer demographics analysis.
  • Call and usage pattern analysis.
  • Predictive modeling techniques.

Stock Price Prediction using Machine Learning

Idea: Utilize Time-Series Analysis, Sentiment Analysis, and Technical Indicators for predicting stock prices and developing effective trading strategies.


  • Time-series analysis.
  • Technical indicators calculation.

Credit Scoring Model

Idea: Develop a credit scoring model to predict the creditworthiness of applicants for loans or credit cards.


  • Historical credit data analysis.
  • Feature engineering for financial indicators.
  • Ensemble learning techniques.