Best Data Science And Machine Learning Online Course with Job Placement

Best Data Science And Machine Learning Online Course with Job Placement 

Become a Certified Data Scientist in 3 Months

Salary Range (for Fresher After Completion): 5 LPA to 12 LPA [100% Placement Assistance]

Live Tools You Learn
GrowthHack 360 Android App - Certifications & Placement (by Growth Mandi)

Become an In-Demand Data Science & Machine Learning Engineer In Just 3 Months with 4+ Leading Technologies

Additional Certificate (No Cost): Microsoft Certified Azure Data Scientist Associate

Salary Range (for Fresher After Completion): 5 LPA to 12 LPA [100% Placement Assistance]

EMI Facility Available: Upto 36 Months [Debit / Credit Card]

4+ Leading Technologies LIVE Training, Practice, Assignment [MySQL Workbench, PowerBI, Jupyter Notebook, Colab Notebook]

120+ Hours of Live Sessions ||  30+ Projects & Assignment  ||  10+ Real World Case Studies  ||  150+ MCQ Mock Tests

The Batch Limit is 10 People Only. So, Hurry Up! Enroll Now.

Introducing Data Science & Machine Learning Master Program

Certified Data Science & Machine Learning Engineer Professional - Course by Growth Hack 360

Certified Data Science & Machine Learning Engineer Professional

100% Placement Assistance with Microsoft Azure Data Scientist Certificate

Live Technologies You Will Learn

Tools you will learn in Data Science & Machine Learning Course by Growth Hack 360

Course Brochure

End-to-End Career Assistance

AI-Driven Resume

Create a tailored, ATS-friendly resume powered by AI for better job matches

LinkedIn Optimization

Boost your LinkedIn profile to attract top recruiters and industry professionals

GitHub Portfolio

Build a standout portfolio showcasing real projects and practical skills

Mock Interviews

Gain confidence with mock interviews, receiving feedback to improve responses

Pitch Perfect 

Master your personal pitch to leave a strong impression on employers

Job Ready

Become job-ready with hands-on skills and industry-recognized certifications

Who is this program for?

Working Professionals Looking to Upskill

Professionals from IT, Software Development, Business Analytics, or other technical fields who want to add data science and machine learning expertise to their skillset.

Career Switchers

Professionals from non-technical backgrounds who want to pivot into a lucrative data-focused career with industry-relevant knowledge and certifications.

Graduates & Freshers

Recent graduates in engineering, mathematics, or related fields who want to fast-track their careers by mastering job-ready data science and machine learning tools.

Aspiring Data Scientists & Machine Learning Engineers

If you’re passionate about problem-solving and want to break into one of the most sought-after careers in tech, this program will provide a clear roadmap to success.

Entrepreneurs & Business Leaders

Individuals who want to leverage data science and machine learning to make smarter, data-driven decisions in their startups or enterprises.

If you're ready to unlock career opportunities, gain hands-on experience with real-world projects, and learn directly from industry experts, this program is for you!

After Completing this Course, You Could Qualify for Roles

Data Scientist

Machine Learning Engineer

Data Analyst

NLP Specialist

AI Engineer

Business Intelligence Analyst

Data Engineer

Big Data Analyst

What will you learn over 3 Months?

Week 1&2

  • Getting Started with SQL
  • Relevance of Databases in data science and engineering
  • What is SQL Anyway?
  • Data Models, Thinking About Your Data
  • The Evolution of Data Models
  • Relational and Transactional Models and their differences
  • Selecting & Retrieving Data with SQL
  • Retrieving Data with a SELECT Statement
  • Creating Tables, Adding Comments to SQL
  • Filtering and Sorting with SQL
  • Basics of Filtering with SQL
  • Advanced Filtering: IN, OR, and NOT
  • Using Wildcards in SQL
  • Sorting with ORDER BY
  • Calculating Data with SQL
  • Math Operations, Aggregate Functions
  • Grouping Data with SQL, Putting it All Together
  • Understanding subqueries and Joins in SQL
  • Using Subqueries
  • Subquery Best Practices and Considerations
  • Joining Tables: An Introduction
  • Understanding the Joins in SQL
  • Cartesian (Cross) Joins, Inner Joins
  • Aliases and Self Joins, Union
  • Advanced Joins: Left, Right, and Full Outer Joins
  • Modifying and Analyzing Data with SQL
  • Working with Text Strings
  • Working with Date and Time Strings

Projects you will be doing

  • Building your Email Marketing Strategy
  • Building your SMS Marketing Strategy
  • Creating Templates, Flows, Automation
  • Building your Landing Page & Sales Funnel
  • Copywriting with ChatGPT

Week 3&4

  • Power BI
  • Understanding the significance of Power Bi
  • Getting the data from multiple sources
  • Perform data pre-processing - filtering, duplicate removal, error handling, replacing errors
  • Creating reports in Power BI
  • Understanding different types of visuals
  • Perform relationship management between tables
  • Adding new columns using power query
  • Understanding Data Modelling and Optimization
  • Perform Customizations in Power BI
  • Edit Interactions, Sync Slicers, Buttons
  • Understand and create DAX functions
  • Artificial Intelligence / Machine Learning
  • Descriptive Statistics
  • Measures of Central Tendency (Mean, Median, Mode)
  • Measures of Dispersion (Range, Variance, Standard Deviation)
  • Skewness and Kurtosis
  • Percentiles and Quartiles
  • Probability Theory
  • Basic Probability Rules (Addition, Multiplication)
  • Conditional Probability
  • Bayes' Theorem
  • Independent and Dependent Events
  • Discrete vs Continuous Variables
  • Probability Mass Function (PMF) and Probability Density Function (PDF)
  • Cumulative Distribution Function (CDF)

Projects you will be doing

  • Creating your Meta Ads Strategy & Campaign
  • Creating your Google Ads Strategy & Campaign
  • Google Analytics configuration
  • Task on A/B Testing on both platforms
  • Various Practical tasks on all the Platforms

Week 5&6

  • Sampling and Sampling Distributions
  • Types of Sampling Methods
  • Central Limit Theorem
  • Null and Alternative Hypotheses
  • Type I and Type II Errors
  • P-value and Significance Levels
  • One-tailed and Two-tailed Tests
  • Confidence Level and Margin of Error
  • Confidence Interval for Means and Proportions
  • Introduction to Machine Learning
  • What is Machine Learning?
  • AI vs ML vs DL
  • How does Machine Learning work?
  • Types of Machine Learning Algorithms: Supervised Learning, Un-Supervised Learning, Reinforcement Learning
  • Jupyter Notebook Tutorial and Installation
  • Basics of Coding
  • Basics of Coding: Variables, Operators, Data Types, Print commands, loops introduction
  • Intermediate Coding: Conditional Statements, Nested Conditions, For loop, while loop, break
  • Introduction to Functions: Pre-built functions, User-defined functions, Lambda function, Map, Reduce and Filter functions
  • Introduction to Libraries: NumPy, Pandas, matplotlib, sklearn, seaborn

Projects you will be doing

  • Creating WhatsApp Campaigns, Templates
  • Creating WhatsApp Flows & Chatbots
  • Creating Affiliate Marketing Strategies
  • Final Tasks for the Whole Program
  • Get AI-Driven Resume, Cover Letter
  • Learn Interview Hacks & Career Guidance
  • Researching & Analysing Real Life Case Studies

Week 7&8

  • Data Visualization
  • Types of Visuals
  • Use of matplotlib
  • Use of Seaborn
  • Use of Plotly
  • Model Evaluation
  • Feature Engineering
  • Model Selection
  • Model Evaluation Metrics: Precision, Recall, Accuracy, RMSE, R2-score, ROC, AUC
  • Bias-Variance Trade off
  • Cross Validation
  • Simple Linear Regression, Multiple Linear Regression
  • What is Linear Regression?
  • Model Representation
  • Cost Function
  • Gradient Descent
  • Regularization
  • Applications
  • Logistic Regression
  • What is Logistic Regression?
  • Model Representation
  • Cost Function
  • Gradient Descent
  • Applications
  • SVM
  • Optimization Objective
  • Large Margin Intuition and Mathematics behind it
  • Decision Boundaries
  • Types of Kernels
  • Applications

Projects you will be doing

  • Building your Email Marketing Strategy
  • Building your SMS Marketing Strategy
  • Creating Templates, Flows, Automation
  • Building your Landing Page & Sales Funnel
  • Copywriting with ChatGPT

Week 9&10

  • k-Means Clustering
  • What is Clustering?
  • Algorithm
  • Random Initialization Trap
  • kMeans++
  • Elbow method to find the optimum value of k
  • Decision Trees, Random Forest
  • Algorithm
  • Hyperparameter Optimization
  • Ensemble Learning
  • Cost function
  • Applications
  • Advanced Tree-based Algorithms
  • AdaBoost
  • XGBoost
  • catBoost
  • k-NN
  • Algorithm
  • Hyperparameter Optimization
  • Cost Function
  • Applications
  • Introduction to Deep Learning
  • What is Deep Learning?
  • Key Differences: Machine Learning vs. Deep Learning
  • Use Cases of Deep Learning in Data Science
  • Neural Networks Basics
  • Artificial Neural Networks (ANNs) Architecture
  • Perceptrons and Multilayer Perceptrons (MLPs)
  • Activation Functions (Sigmoid, ReLU, Tanh, Softmax)

Projects you will be doing

  • Creating your Meta Ads Strategy & Campaign
  • Creating your Google Ads Strategy & Campaign
  • Google Analytics configuration
  • Task on A/B Testing on both platforms
  • Various Practical tasks on all the Platforms

Week 11&12

  • Mathematical Foundations
  • Matrix Operations and Tensors
  • Backpropagation Algorithm
  • Gradient Descent and Optimization Techniques (SGD, Adam, RMSprop)
  • Loss Functions (MSE, Cross-Entropy)
  • Convolutional Neural Networks (CNNs)
  • Convolution Operations. Padding & Stride
  • Pooling Layers (Max Pooling, Average Pooling)
  • Image Classification, Object Detection
  • Recurrent Neural Networks (RNNs)
  • Sequential Data and Time Series
  • RNN Architecture and Backpropagation Through Time (BPTT)
  • Long Short-Term Memory (LSTM) Networks
  • Gated Recurrent Units (GRUs)
  • Applications: Text Generation, Sentiment Analysis, Language Modeling
  • Transfer Learning
  • Pretrained Models (ResNet, VGG, Inception, BERT)
  • Fine-tuning vs Feature Extraction
  • Autoencoders
  • Structure and Working
  • Dimensionality Reduction, Anomaly Detection
  • Generative Adversarial Networks (GANs)
  • Architecture (Generator and Discriminator)
  • Applications: Image Synthesis, Style Transfer
  • Variational Autoencoders (VAEs)
  • Transformers and Large Language Models
  • Transformer Architecture
  • Applications: Machine Translation, Chatbots
  • Advanced Models: BERT, GPT, T5

Projects you will be doing

  • Creating WhatsApp Campaigns, Templates
  • Creating WhatsApp Flows & Chatbots
  • Creating Affiliate Marketing Strategies
  • Final Tasks for the Whole Program
  • Get AI-Driven Resume, Cover Letter
  • Learn Interview Hacks & Career Guidance
  • Researching & Analysing Real Life Case Studies

At the End of the Course: Students will tackle real-world scenarios, designing comprehensive data-driven strategies and building machine learning models to solve complex problems, optimize workflows, and drive measurable results for a simulated organization.

Extra Session: Interview Hacks + Career Guidance

Why GrowthHack 360

Focused On Live Tools 

All our training programs are focused on Leading Tools rather than theory-only

Certificate from Fortunes

Get Certifications from Meta, Microsoft, Google, IBM, and more Fortune Companies

Placement Assistance

Our Career Guidance & Placement Team will assure you to get a Job or Paid Internship

Live Projects, Assignments 

As we are a Digital Marketing Agency, you will work on Live Projects & Assignments

Real World Case Studies

To give you an Industry Experience, we have added many Case Studies of Top Companies

GitHub Profile Support

Enhance your profile with project showcases to impress recruiters and demonstrate your skills

Meet Your Instructor

Comes From Top Industries

Pranav Jaipurkar - Growth Hack 360 Instructor (by Growth Mandi)

Mr. Pranav Jaipurkar

M-Tech in Electrical and Computer Engineering

  • 4+ years of exp in AI, ML, Deep Learning, Python, MySQL, Power BI, and Tableau
  • Ex Data Scientist at Edelweiss Financial Services Ltd. and Zdaly
  • Professionally, Pranav has worked as a Data Scientist at Edelweiss Financial Services Ltd. and Zdaly, where I contributed to diverse projects such as automating financial data workflows, building machine learning algorithms for product quality analysis, and optimizing data flow architecture using tools like Jenkins and Apache Airflow. My expertise lies in Python, R, SQL, and advanced data visualization and analytics. I have also developed and deployed machine learning models for predictive analytics and implemented algorithms to improve data quality and operational efficiency.

Certified by Fortune Companies

01

Certificate from Growth Hack 360

02

Certificate from Microsoft*

Earn Certificates or Batches from Fortune Companies

  • Growth Hack 360 Certification
  • Meta Blueprint Certification
  • Google Certification
  • Microsoft Certification
  • IBM Certifications
  • Credential of Growth Hack 360

** There is TnC for all the certifications. Check it in the footer.

FAQ

What is this program about?

A hands-on course to master Data Science, Machine Learning, and secure high-demand tech roles.

Is this a completely live program?

Yes, the program includes live sessions with industry experts and practical training on real-world tools.

Is there only theory class or Tools practical also?

Both! You will learn theoretical concepts and get hands-on practice with industry tools.

Are there any prerequisites for this program?

No, this program is designed for beginners and experienced professionals alike.

What if I am not able to join the live sessions?

All sessions are recorded and made available so you can catch up at your convenience.

How much access do I have to the mentors?

You can interact with mentors during live sessions, Q&A, and through the community platform.

What deliverables will I walk away with?

You will receive certification, a portfolio of completed projects, and career support.

Couldn’t I find this material online for free?

While some information is available online, this course provides industry experiences, structured learning, real-world tools, and mentorship.

What kind of opportunities can I expect after the program?

You can pursue roles like Performance Marketing Specialist, Digital Marketing Manager, or SEO Expert with job placement support.

How to interact with mentors if I have any doubts?

You can interact with mentors through live sessions, email, pvt WhatsApp group, or the community platform for continuous support.

How to join the Live sessions?

You will receive the live class link as well as reminders before class via email and on your course dashboard (Android app or web) to join the live sessions.

How to access the course materials?

All materials are available in your course portal (Android App > My Course / Web portal > Dashboard), accessible 24/7 after each session.

I don't have an Android mobile. What should I do?

No worries! You can access the course on any device, including laptops or iOS devices, through the web portal.

Can I get premium access to all the tools during course?

Yes, we provide access to premium marketing tools as part of the course for practical learning.

Check What Our Students Say About This Course

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Headquarter

A - 708, Unicus Shyamal, Opp. Iconic Shyamal, Shyamal Cross Road, Ahmedabad, Gujarat - 380015

P: +91 8906059086 / 9727700460 / 7076545141 (wp only)

Disclaimers

Certification: We don't provide these. We just prepare you to clear all the exams for all of these certifications and guide you in achieving them. Students have to pay additionally for some of these certificates from top Fortune Companies (e.g., Google, Microsoft, IBM, Meta) as an add-on. These are fully optional for enrolled students.

Placement Guarantee Disclaimer: All placements under our guarantee/assistance of the Specialist & Professional Training Program will be as Employees under probation period or as Paid Intern in a company. Free certification with placement assistance may result in placements as Unpaid Internships. There is a 60-day gap for the Placement.

100% Safety: Your Data is completely safe with us. We use Digital Signatures for Non-Terminating and non-disclosure Agreements with our employees. All the Secrets Credentials used during payment, are encrypted by our Payment Gateway partner.

Brand Logos: Third-party trademarks and logos are owned by respective third-party owners. We are just an affiliate or solution partner for some of them.

Disclaimer for Courses: The information provided in our skill development courses is for educational purposes only. Growth Mandi does not guarantee the content's accuracy, completeness, or reliability. We do not accept liability for any loss or damage incurred from using our courses. Course content and materials are subject to change without notice. Participants are encouraged to independently verify any information before applying it. Enrolling in our courses allows you to use the information at your own risk. We do not provide 100% Guarantee for our Placement Support program