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Advanced Certification in Applied Data Science, Machine Learning & IoT By E&ICT Academy, IIT Guwahati

9 months

Online Certification in Applied Data Science, Machine Learning and Edge AI By E&ICT Academy, IIT Guwahati

6 months

Certification in Data Science and Machine Learning With Python By The IoT Academy Noida

180 Hrs

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Best Data Analytics and Machine Learning Certification Course

Enroll in the professional Data Analytics and Machine Learning course with Generative AI to boost your skills and advance your career to gain industry recognition.

200+ hours of in-depth training including one-to-one live doubt sessions.

Master essential tools Tableau, Power BI, Python, Pandas, ChatGPT, and more.

Gain skills in DA, ML, Generative AI, and other cutting-edge techniques.

Guaranteed 1.5-month internship & get 100% placement assistance.

Work on Real-time Projects where machine learning and AI is used.

Get dedicated mentor for 1:1 live doubt clearing session with this Data Analytics Machine Learning course.

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80%Placement Rate

6000+Student Enrolled

60%Average Salary Hike

Get upto 40% OFF

Pre Registration Offer!

The only self-paced Data Analytics and Machine Learning Certification course with dedicated mentor

Enroll in the Course

Register for this professional Data Analytics, Machine Learning, and Generative AI course to advance your career and expertise.

Learn Data Analytics and Machine Learning

Learn from basics to advanced about Data Analytics, Data Science, Machine Learning, Generative AI, Prompt Engineering, etc.

Internship and Certification

Get a 1.5-month industrial internship and globally recognized certificates to enhance your skills and boost your career prospects.

Land Your Dream Job

Land your dream job in the industry with advanced skills and knowledge, and secure a higher salary.

Data Analytics Machine Learning and Generative AI Course Overview

Introduction to Generative AI, Data Analytics and Machine Learning Certification Course

This professional certification in Data Analytics & Machine Learning with Generative AI is designed to provide you with the most in-demand skills in the industry. It is a self-paced comprehensive program that spans over 200 hours (24 weeks / 6 months), combining hands-on learning with expert guidance to ensure you’re job-ready upon completion. You will get to know and master various tools and technologies that are emerging rapidly. The program also includes a guaranteed 1.5-month internship and comprehensive placement assistance to ensure you have the experience and support needed to land your dream job.

What You Will Learn From This Data Analytics Course?

Below are the following things that you will acquire from this Data Analytics and Machine Learning Certification program.

Data Analytics & Data Science: From foundational concepts to advanced techniques, including data cleaning, visualization, and analysis.
Machine Learning: Comprehensive training on algorithms, model building, and implementation.
Generative AI & Prompt Engineering: Understand the latest in AI technologies and how to leverage them effectively.
Career Enhancement: Prepare for a successful career with globally recognized certifications and job placement support.

How Does Our Data Analytics and Machine Learning Certification Will Help You?

Our Data Analysis Machine Learning course is designed to provide you with industry-relevant skills and knowledge to excel in the field. By mastering advanced tools, techniques, and methodologies, you'll gain the confidence to tackle real-world challenges in data science and machine learning. Learn about the latest trends and advancements in generative AI and machine learning to stay ahead in this rapidly evolving field. This course will help you become a forward-thinking professional, ready to tackle future challenges.

What Tools and Techniques Will You Learn and Master From This Course?

Throughout this course, you will learn Data Analytics and Machine Learning including powerful tools like Tableau, Power BI, Python, R, NumPy, Pandas, ChatGPT, Gemini, and more. You will also master essential techniques in data visualization, machine learning algorithms, natural language processing (NLP), recommendation systems, time series forecasting, probability of ML, etc. These tools and techniques are critical for Data Analytics Machine Learning and Generative AI, making you a versatile and valuable asset to any organization.

Who Can Do This Data Analytics and Machine Learning Certification Course?

This Data Analytics course is ideal for students, graduates, working professionals, and anyone looking to enhance their skills in data analytics, machine learning, and AI.

Data Analysts looking to advance their skills in analytics and integrate machine learning into their work.
Business Professionals who want to make data-driven decisions and understand the potential of machine learning in business applications.
Developers and IT Professionals aiming to expand their expertise into data science and machine learning.
Recent Graduates seek to start a career in data analytics or machine learning.
Career Changers interested in transitioning to the rapidly growing fields of data science, analytics, and AI.
Entrepreneurs who want to leverage data to drive innovation and improve business strategies.

What are the Scope and Career Opportunities After Completing the Data Analytics and Machine Learning Course?

Completing this Data Analyst course opens doors to numerous career opportunities in the rapidly growing fields of Data Analytics, Data Science, Machine Learning, and Artificial Intelligence. You can pursue roles like Data Analyst, Machine Learning Engineer, Data Scientist, AI Specialist, Business Intelligence Analyst, and more. With 100% placement assistance, you can secure high-paying jobs with top companies.

Why Should You Choose Our Data Analytics and Machine Learning Certification Program?

Choose our professional Data Analytics Machine Learning Course because it offers:

A comprehensive curriculum covering all aspects of data analytics and machine learning.
Hands-on experience with real-time projects.
Access to industry-recognized tools and technologies.
A guaranteed internship and 100% placement assistance to ensure career success.
Personalized guidance through one-on-one live doubt sessions.

What is the Duration of the Data Analytics and Machine Learning Certification Program?

The duration of this self-paced course is 200+ hours over 24 weeks (6 months). It is a part-time program designed to fit around your schedule, allowing you to learn Data Analytics and Machine learning at a comfortable pace while maintaining your current commitments.

How Much Salary You Can Get After Completing a Data Analyst Course?

After completing a Data Analytics and Machine Learning certification course in India, you can expect an entry-level salary ranging from ₹3.5 lakhs to ₹6 lakhs per annum. With 2-5 years of experience, salaries typically increase to ₹6 lakhs to ₹12 lakhs per annum. For senior roles or specialized positions in data science, machine learning, or AI, salaries can go up to ₹15 lakhs to ₹25 lakhs per annum or higher, depending on your skills, experience, and the company's location and industry. (*All these figures are based on last 5 year data)

How do you enroll in the Data Analytics and Machine Learning Certification Program, and what is the fee structure?

To enroll in this Data Analysis Machine Learning Course with Generative AI, click the “Buy Now” button on our website and complete the registration form. The fee structure is competitive and designed to be accessible to everyone. We offer flexible payment options, including installment plans. For detailed information on fees and available discounts, please contact our support team or visit our website.

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Data Analytics Machine Learning Program Curriculum

Download Brochure Download Curriculum

Data Analytics, Data Science & Visualization with Python

Module 1: Python Basics

What is Python
Application of Python
Why use Python for AI-ML Installation Anaconda/Other Idle
Python Tokens
Data Types in Python
Conditional Statement
Loops in Python
Functions in Python
Advance Functions
File Handling

Module 2: Python NumPy & Pandas

Introduction to NumPy
Exploring a NumPy Array
Indexing & Slicing a NumPy Array
Manipulating a NumPy Array
Performing Mathematical & Statistical Functions using NumPy
Performing Linear Algebra Operations using NumPy
Introduction to Pandas
Exploring Pandas Series
Introduction to Pandas DataFrame
Importing & Exporting Data
Implementing basic DataFrame functionalities
Exploring Descriptive Statistics with Pandas

Modules 3: R Language Essentials

Fundamentals of R
Vectors & control statements
Functions in R
Matrices & strings
Lists & arrays in R
Data visualization in R

Modules 4: EDA

Data Types
Dispersion & Skewness
Data imputation
Data Pre-processing
Data Cleaning
Data Manipulation
Advanced Manipulation

Module 05: SQL For Data Analytics

SQL Basic
SQL Joins
SQL Aggregations
Subqueries and Temp Tables
SQL Data Cleaning
Window Functions

Module 6: Data Visualization

Why Data Visualization?
Introduction to Data Visualization
Libraries & Tools for Data Visualization in Python
Static Data Visualization Using Seaborn
Interactive Data Visualization Using Plotly Express
Interactive Animations & Facet Plots

Module 7: Tableau

Understanding Data
Creating Your First visualization
Tableau Calculations
Formatting Visualizations
Manipulating Data in Tableau
Creating Dashboards AND Stories
Distributing & Publishing Your Visualization

Module 08: Visual Storytelling using Power BI

Introduction To Power BI
Creating Power BI Reports, Auto Filters
Report Visualization And Properties
Chart And Map Report Properties
Hierarchies And Drilldown Reports
Power BI Deployment & Cloud
Improving Power BI Reports And More...

Module 09: Microsoft Excel

Applied Maths, Statistics and Probability for DS & ML

Module 1: Mathematics for Machine Learning

Linear Algebra
Introduction to Calculus
Multivariable Calculus

Module 2: Statistical Foundations

Applications of Statistics
Introduction to Statistics
Categories of Data
Basic Terminologies in Statistics
Sampling techniques
Descriptive Statistics
Measure Used in Descriptive Statistics
Z-Scores

Module 3: Probability

What is Probability?
Rules of probability
Types of Probability
Random Variables
Probability Distribution Functions

Module 4: Inferential Statistics

Introduction to Inferential Statistics
Hypothesis Testing
Normal Distribution
P-value
One-tailed and Two-tailed tests
One Sample Z test
One Sample T test
Independent Sample T test
Chi-square test
ANOVA

Machine Learning Specialization

Module 1: Introduction to Machine Learning

What is Machine Learning?
Applications of Machine Learning
Machine Learning in your daily life
Machine Learning in Retail
Steps Involved in Machine Learning

Module 2: Regression

Introduction to Regression
Linear Regression
Evaluation Metrics in Regression Models
Logistic Regression

Module 3: Supervised Classification

Why Use Classification?
Application of Classification Algorithms
Introduction to Classification
Types of Classification Algorithms
Classification: Decision Tree
Classification: Random Forest
ML in Banking & Finance - Benefits
Classification: SVM
Classification: KNN
Classification: Naïve Bayes
Evaluating Classification Models
Model Optimization Techniques
Model Boosting Techniques
Introduction to PyCaret
Dealing with Unbalanced Datasets

Module 4: Unsupervised Learning

What is Unsupervised Learning?
Application of Unsupervised Learning
Introduction to Clustering
Types of Clustering
Partitioning Methods: K-means, DBSCAN
Spectral
Hierarchical Methods: Hierarchical

Module 5: Dimension Reduction

PCA
Factor Analysis
LDA

Module 6: Association Rules Mining

What are Association Rules?
Association Rule Parameters
A-priori Algorithm
Market Basket Analysis

Module 7: Recommendation System

What is a Recommendation System?
Need for a Recommendation System
Recommendation System Use Cases
Applications of Recommendation System
Types of Recommendation Systems
Collaborative Filtering
Content Based Filtering
Matrix Factorization
Pros and Cons of Collaborative Filtering
Content Based filtering
Hybrid Recommender System

Module 8: Time-series Forecasting

Introduction to forecasting data
Properties of Time Series data
Features of Time Series data
Markov Processes - Overview and Terminologies
Naive, Average and Moving Average Forecasting
Exponential Smoothing
ARIMA Approach

Module 09: Machine Learning Model Deployment

Overview of Machine Learning Models
Machine Learning System Architecture
Research Environment
Packaging, Serving and Deploying the mode
Differential Testing And More...

Generative AI Specialization & ChatGPT, Prompt Engineering, Explainable AI

Module-1: Generative AI Specialization

Introduction to Generative AI Models
The Future of Generative AI
Types of Generative AI Models
Ethical Considerations in Generative AI Models & ChatGPT
Popular Generative AI Models
Benchmarking & Evaluating Models

Module-2: ChatGPT, Prompt Engineering, Explainable AI

ChatGPT
Fine-tuning ChatGPT
Deploying and Scaling ChatGPT
Maintaining ChatGPT
Security and Privacy Considerations
Monitoring and Debugging ChatGPT

Module-3: Explainable AI

Module-4: Prompt Engineering

Module-5: Advanced Prompt Engineering Techniques

Last Date of Registration: 31st October

Secure Your Seat Now!

200+ Hours

Learning & Practice Session

25+

Tools & Technologies

1.5 Months

Guaranteed Internship

Learning Experience of This Professional Data Analytics Course

The learning experience of our Professional Certification Course in Data Analytics and Machine Learning with Generative AI is designed to be immersive, interactive, and hands-on:

Learn Data Analytics and Machine Learning by Industry Experts

Self-paced Data Analytics and Machine Learning certification course curated by industry experts including Generative AI modules.
Mentorship and expert guidance from seasoned data science and machine learning professionals
Benefit from individual doubt-clearing sessions to resolve queries and deepen your understanding of complex topics.

Collaborative Learning Environment and Comprehensive Curriculum

Engage in group discussions, peer learning, and team projects to foster collaboration and exchange ideas with fellow learners.
Structured curriculum that covers everything from the basics to advanced concepts in data analytics, machine learning, and generative AI.
Learn at your own pace with 24/7 access to recorded sessions and resources.

Personalized Mentorship and Career Support

Receive weekly online mentorship from industry experts in Data Science and Machine Learning.
Participate in live, instructor-led sessions with industry experts who provide personalized guidance and support.
Access to a dedicated Program Manager from The IoT Academy to assist with any queries.

Develop Your Data Analytics and Machine Learning Portfolio

Showcase your Data Science expertise by developing a portfolio of industry-relevant, hands-on projects along with case studies.
Gain real-world insights by applying data science and machine learning concepts through practical, hands-on learning experiences.

Who is Eligible for This Data Analytics Program

Students

Students Pursuing Graduation of Any Stream

Graduates/ Post Graduates/ PhD

Any Recent Graduates, Post Graduates or PhD holders can apply

Working Professionals

Any Individual From a Diverse Working Background

Data/Business Analysts

To Enhance Analytical Skill With Advanced Tools and Technology

Entrepreneur

Interested in Specializing in Data Analytics, ML & Generative AI for their business

Tools You Will Learn

Skills You Will Master

Python Programing for DA & ML

R Programing for DA & ML

SQL for DA & ML

Data Visualization with Power BI & Tableau

Mathematics for ML

Statistics for ML

Probability for ML

Supervised Learning

Unsupervised Learning

Recommendation System

Time-Series Forecasting

Machine Learning Model Deployment

Data Analytics Machine Learning Course Fee & Payment Option

Total Admission Fees (Inclusive Of All Taxes)

₹ 33,333

₹ 20,000

Buy Now Get Brochure

Our Payment Options

We offer the following payment options for one-time/EMI payment

Internet Banking

Credit/Debit Card

UPI Payment

₹ 20,000/-_{Total Fees*}

*Pay in easy EMIs starting at INR 3,333/- per month

Interviews With Top Companies

Get access to interview experience upon successful submission of projects. Get interviewed by our 400 + hiring partners including MNCs.

100% Placement Support*

*If You Complete The Program Successfully With The Defined Passing Criteria.

Industry Oriented Sessions

With interactive live sessions along with an industry expert guidance iot, online training is full of guided sessions to skill-up the attitude of the students.

Resume & LinkedIn Profile

Get assistance in curating the best resume/LinkedIn profile to garner the attention of the recruiters and stand a chance to grab a lifetime opportunity.

1.5 Months Internship

Gain hands-on experience through our dynamic internship program, designed to develop your skills, expand your network, and kickstart your professional journey.

Mock Interview Guidance

Students will get access to multiple mock interview guidance conducted by the industry experts along with the feedback for improvement.

1-On-1 Mentoring Sessions

Participate in one-on-one live sessions on how to nurture industry skills and attitude for securing a dream job.

Data Analytics, Machine Learning & Generative AI Course

Upon successfully completing this program, you’ll earn an Advanced Certification in Applied Data Analytics, Machine Learning & Generative AI. This certificate will testify to your skills as an expert.

Earn Your Certificate

Share Your Achievement

Our Notable Alumni

Rohit Singh

Data Scientist

Swapnil Bhanushali

Associate

Anushi Mittal

Risk Management Analyst

Gaurav Lad

Sr. Associate Growth & Marketing

Swati Verma

Jr BI Engineer

Shubham singh

Field Services Engineer

Hemant Raj

Assistant Engineer R&D

Mohan Trivedi

Project Manager

Bhaskarjyoti

Executive, IT CSV

Corporate Partners

Academic Partners

Testimonials that Speaks about Our Results

Uday Sharma

5.0

I had the opportunity to study data science and machine learning with Python at IoT Academy, and it was a highly rewarding experience. The curriculum was well-structured, covering both foundational and advanced concepts in data science, machine learning, and Python programming.

Anubhav Rastogi

5.0

I thoroughly enjoyed my Data Science course at IoT Academy. The instructors were knowledgeable, and the curriculum was well-structured. Hands-on projects and real-world applications made learning engaging. The support from the academy's staff was exceptional.

Prateek Kumar

5.0

It was a great experience with IOT Academy.Trainers were too much helpful and supportive.They focused specially on my weak part so that I could work at industrial level. Overall It was well time spent.

Md Habib

5.0

Having recently completed The IoT Academy's Data Science, Machine Learning, & IoT course, I can confidently say it was an outstanding learning journey. The instructors demonstrated remarkable expertise, breaking down complex topics into easy explanations.

Akash Paul

5.0

The IoT Academy is the best place to gain knowledge. They teach you right from the basic level. I would recommend all beginners to start their training here.or you may attend a demo class.

Tanu Bhardwaj

5.0

I recently had the privilege of enrolling in the "Machine Learning Essentials" course offered by The IoT Academy, and I must say, it was an exceptional learning experience that left me thoroughly impressed.

Pulkit Singhal

5.0

The iot academy is a great platform for learning . They helps students ,to learn and grow . Basically it depends on the studevnt how much he can grab from all the knowlegaeble articles and various tasks provided by them .

Jitesh

5.0

As a non-tech person, it is difficult to learn data science and its core concepts aligning with the industries and trends. With The IoT Academy DS ML course it becomes easy for me to learn a lot of things that fit with the latest company and industry trends.

Subham Raj

5.0

The support team is consistently there to tackle our inquiries and ensure that we won't confront any issues on that. The best thing I have encountered in the tasks and project work which have helped me immensely.

We’re Here To Answer All Your Questions

What is the duration of the Data Analytics and Machine Learning certification Program?

The program lasts for 24 weeks (6 months) with over 200 hours of in-depth training, including live doubt sessions and a 1.5-month internship.

What topics are covered in this Data Analytics Machine Learning course?

The course covers Data Analytics, Data Science, Machine Learning, Generative AI, NLP, recommendation systems, time series forecasting, and more. For detailed modules and topics, you can navigate to the curriculum section.

What is the mode of learning for this course?

It is a self-paced course with recorded lectures and downloadable materials. It also includes one-on-one live doubt-clearing sessions every weekend.

How will this Data Analysis Machine Learning course help me?

This professional certification program will teach you to use key tools and techniques in data analysis and machine learning with Generative AI, providing hands-on experience with real-world projects. You'll gain practical skills, receive a guaranteed internship, and benefit from 100% placement assistance to enhance your career opportunities and secure top roles in the industry.

Is any prior experience in programming or data analytics required?

No prior experience is necessary for enrolling in this Data Analytics and Machine Learning certification. The course starts with foundational concepts and progresses to advanced topics, making it suitable for beginners and professionals alike.

Will I receive a certificate upon completion of this data analytics and machine learning course?

Yes, after completing this 6-month Data Analytics and Machine Learning certification program you will receive a globally recognized certificate of course completion from The IoT Academy.

Does the course contain any minimum attendance or score policy for placement eligibility?

The course is self-paced so it does not have any minimum attendance policy. For placement eligibility, you have to score >75% marks in the Placement Eligibility Test (PET) conducted after successful completion of this course.

What kind of real-world projects will I work on during the Data Analytics and Machine Learning certification course?

You will work on projects involving machine learning, natural language processing (NLP), data visualization, recommendation systems, and time series forecasting.

Will I receive feedback on my projects?

Yes, you will receive personalized feedback from instructors on each project to help you improve and master the skills.

How will working on projects benefit me in the job market?

Working on real-world projects demonstrates your practical skills and problem-solving abilities to potential employers, making your resume stand out and increasing your employability.

What kind of career support is provided after completing this Data Analytics and Machine Learning certification course?

The course offers 100% placement assistance, including resume building, interview preparation, and direct connections with hiring companies.

What job roles can I apply for after completing this course?

Graduates can pursue roles such as Data Analyst, Machine Learning Engineer, Data Scientist, AI Specialist, and Business Intelligence Analyst.

Are there any partnerships with companies for job placements?

Yes, we have partnerships with top companies and organizations, which help in providing job placement opportunities and internships to our graduates.

How can I enhance my chances of landing a job after completing the course?

Engage actively in all course activities, complete the curriculum with diligence, leverage the internship experience, and utilize the career support services provided with the course.

What is the fee structure for this Data Analytics and Machine Learning certification?

The course fee is competitively priced and can be paid in flexible installments. Contact our team for detailed fee information and available discounts.

Are there any additional costs besides the course fees?

No, there is no additional cost besides the course fee.

Are there any scholarships or financial aid options available?

Yes, we offer scholarships and financial aid options for eligible candidates. Please reach out to our support team for more information.

What is seat booking or the token amount?

To enroll in this Generative AI Data Analytics and Machine Learning certification program, you have to pay a minimum of 500/- INR as a token amount.

What payment methods do you accept for the course fees?

The payment for the Data Analytics Machine Learning course with Generative AI can be made via Cash, Credit Card, Debit Card, Net Banking, and UPI.

Will there be any additional charges for the EMI exchanges?

No, there will be no additional charges specifically from our end for the EMI option. However, please note that some banks may levy their payment gateway charges or processing fees. We recommend checking with your bank for any applicable fees associated with the EMI transactions.

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