10k+ Ratings

Data Science and Machine Learning Using Python

Become a data-driven professional with our Data Science and Machine Learning course. Learn from top faculty and industry experts, gain hands-on experience, and earn a globally recognized certificate. Apply now to enhance your skills and advance your career.

Registration Deadline

Oct 20, 2024

Training Format

Instructor-Led Online

Duration

60+ Hours

Batch Type

Weekend/Weekdays Both

Course Overview

In recent years, Data Science and Machine Learning have emerged as powerful techniques for solving problems involving vast amounts of data. Machine Learning algorithms enable better decision-making. This course is designed to provide you with in-depth knowledge of Machine Learning concepts, including essential statistics for Data Science and Python programming. Step into the world of Machine Learning with us. Each lecture will help you develop new skills and deepen your understanding of this challenging yet lucrative sub-field of Artificial Intelligence. Start your journey today and transform your career with cutting-edge expertise!

Key Highlights

100% Instructor- Led Live Training

80% Practical Sessions

24x7 Doubt Support

10+ AI Tools Covered

One-on-One with Industry Mentors

Bi-weekly Industry Projects

One Capstone Project

Skills and Tools Covered

Applications Open (High Demand, Apply Soon)

Why should you join this course?

Earn an Elite Certificate

Receive a Certificate of Course Completion from iHUB DivyaSampark, IIT Roorkee supported by DST Govt. of India.

Join as a Beginner

Enroll in our beginner - friendly course with no prerequisites required. Start your journey from scratch. Start from Hello, World!

ML and AI is the Future

AI is driving the Future of Technology and Innovation. Embrace its power to transform industries and enhance everyday life.

Exposure to Latest Trends

Attend live online sessions on Generative AI, Open AI, ChatGPT, and know their applications in real life.

Flexible Timings & 24*7 Support

Session timings are scheduled during off-hours, providing flexibility along with mentor and TA support whenever needed.

Better Career Opportunites

Engineers from Data Science and Machine Learning field are among the highest paying professionals. Lakhs of vacant positions.

Top Career Options in Data Science and Machine Learning

Machine Learning Engineer

Data Analyst

Data Scientist

Business Analyst

Data Engineer

AI Engineer

Applications Open (High Demand, Apply Soon)

World Class Mentors

Sudhir Chaudhary
B.Tech IIT Roorkee

Co-founder and CEO

(Diginique TechLabs)

Bipul Shahi
10+ Years Experienced

Lead Instructor

(Diginique TechLabs)

Abhishek Teotia
Middlesex University, London

Teaching Assistant

(Diginique TechLabs)

Applications Open (High Demand, Apply Soon)

Course Features and Benefits

Detailed Course Curriculum

Module 1: Introduction to Python
  • Basic Overview
  • Variables
  • Data Types
  • Conditional Statements
  • Loops
  • Pandas
  • NumPy
  • Matplotlib
  • Seaborn
  • Data Manipulation
  • Feature Scaling and Transformation
  • Visualization
  • Statistics
Module 2: Exploratory Data Analysis (EDA)
  • Introduction to EDA
  • Descriptive Statistics
  • Data Visualization
  • Handling Missing Data
  • Indentifying Outliers
  • Correction Analysis
Module 3: Microsoft Power BI
  • Introduction to Power BI
  • Data Preparation, Modelling and Visualisation
  • Power BI Dashboard and Data Transformations
  • M Query and Hierarchies
  • DAX Essentials
  • Slicers, filters, Drill Down Reports
  • Power BI Query, Q & A and Data Insights
  • Power BI Settings, Administration and Direct Connectivity
  • Embedded Power BI API and Power BI Mobile
  • Power BI Advanced and Power BI Premium
Module 4: Fundamentals of Machine Learning
  • Introduction
  • Supervised Learning
  • Unsupervised Learning
  • Reinforcement Learning
  • K-Fold Cross-Validation
  • Confusion Matrix
  • ROC Curve
  • Linear Regression
  • Polynomial Regression
  • Logistic Regression
  • Decision Trees
  • k-Nearest Neighbours (k-NN)
Module 5: Naïve Bayes and Support Vector Machines
  • Introduction to Probabilistic Classifiers
  • Understanding Naïve Bayes
  • Math behind Bayes theorem
  • Introduction to SVM
  • Concepts and Advantages
  • Linear and Nonlinear SVM Classifiers
  • Kernel Functions
  • Classification and Regression
Module 6: Ensemble Learning
  • Introduction to Ensemble Methods
  • Concepts and Benefits
  • Bagging
  • Boosting
  • Stacking
Module 7: Unsupervised Learning
  • Introduction to Unsupervised Learning
  • Concepts and Applications
  • K-means Clustering
  • Hierarchical Clustering
  • Dimensionality Reduction
  • PCA
Module 8: Generative AI
  • Long Short-Term Memory (LSTM)
  • Transformers
  • BERT
  • GPT
  • Large Language Models (LLM)
  • 10+ AI Tools Covered
Module 9: Flask and REST API Deployment
  • Introduction to Flask for Web App Development
  • Building RESTful APIs with Flask
  • Deployment of Machine Learning Models as REST APIs
Module 10: MS Excel and MySQL

M S Excel:

  • Statistical Functions, Logical Functions
  • Mathematical Functions, Lookup Functions
  • Worksheets, Formatting, Formulas
  • Sorting, Filtering, Date and Time
  • Charts, Dashboards, What-if Analysis
  • Printing, Keyboard Shortcuts

MySQL:

  • Introduction to MySQL
  • SQL Commands, Data Types, Constraints
  • Operators, Clause, SQL Statement Fundamentals
  • Group By Statements, Window Functions
  • Aggregate Functions, Joins, CTE Table, Sub-Query, Index
  • Advanced SQL Commands, Creating Databases and Tables
  • Conditional Expressions and Procedures
Module 11: Project Development
  • Project Planning
  • Data Acquisition
  • Model Building
  • Development
  • Training
  • Evaluation
  • Presentation
  • Demonstration
Module 12: Practical Labs and Case Studies
  • Hands-on Lab Sessions
  • Real-World Case Studies and Applications
  • Troubleshooting issues
  • Problem Solving
  • Interactive Sessions

Industry Projects

Project 1
Create a Virtual Assistant with Generative AI
Develop a conversational chatbot that can engage in meaningful dialogues, answer questions, provide recommendations, and assist with tasks based on the documents provided.
Project 2
Real Estate Price Prediction Model
Develop a prediction engine for real-world use to help developers determine house selling prices and assist customers in finding the best time to purchase a home comparing various parameters.
Project 3
Credit EDA Case Study- Loan Eligibility
Develop a model for a finance company which lends various loans and use EDA to analyse the patterns. Ensure that the eligible applicants are not rejected and defaulters are not selected.
Project 4
Online Product Recommendation System
Create an application that suggests products users might like to buy or engage with. Enhance the user experience by presenting appealing options tailored to individual preferences.

Our Alumni Work At

Applications Open (High Demand, Apply Soon)

Globally Recognized Certificates

Course Completion Certficate from iHUB IIT Roorkee
Project Completion Certificate

How are we different - A Quick Comparison

Important Features
Our Program
Other Programs
YouTube
Structured Curriculum
100% Live Sessions
Fastest Doubt Support
24*7 Instructor Availability
Globally Recognized Certification
6 Months Mentorship Support
Live Teaching Assistant Support
Industry Oriented Real-Time Projects

Applications Open (High Demand, Apply Soon)

Who can apply for this course?

Success Stories - Transform Your Career

Sushmita Chitranshi
IIFT Delhi

The hands-on sessions were the most valuable part of the course. They provided ample time to practice real-world problems and apply the skills I learned, significantly enhancing my experience. The course was engaging, insightful and rewarding.

Amey Thakur
University of Mumbai

My overall experience was very good during my summer training at Diginique TechLabs. The way of teaching was outstanding and engaging with obvious and immediate results. I learned wonderful techniques that I will use in my practice. Keep going, Diginique!

Akriti Chandra
VIT Vellore

Throughout this course, I had an incredible opportunity to dive deep into Data Science and ML and apply my knowledge to a hands-on project, “Airline Reservation System”. This experience allowed me to gain valuable skills in programming and project.

Krishna Mathura
Manipal University Jaipur

This training has been a transformative experience, equipping me with cutting-edge skills in data science, machine learning, and artificial intelligence. The hands-on approach and expert guidance have significantly enhanced my proficiency.

Abidass K
Anna University Chennai

This intensive program equipped me with comprehensive knowledge and hands-on experience in building dynamic web applications. Huge thanks to the instructors and Diginique TechLabs for their invaluable guidance and support throughout this journey.

Nakul Mantri
IIIT Surat

I would like to extend my warmest regards to Diginique TechLabs. Their excellent training and support enabled me to perform to my full potential and hone my skills. I am truly grateful for the opportunity to learn and grow with their guidance, mentorship and support.

Khushboo Pal
SDE- 1, Jellyfish

This course provided a perfect balance of theoretical knowledge and practical skills. The real-world projects and assignments were invaluable in helping me apply the concepts directly to my work. The support from the instructors was prompt and outstanding.

Jaspreet Sirswal
SDE- 2 , Dream 11

The course exceeded my expectations in terms of content and delivery. The practical focus and industry-relevant projects helped me sharpen my skills and stay updated. The community support was excellent, making the learning journey enjoyable and productive.

Prof. Akshat Agrawal
Amity University Delhi

The course was well-structured, combining theory with practical applications effectively. The hands-on projects helped students apply their knowledge in real-world scenarios, and the support from instructors was excellent. It greatly enhanced the technical skills.

Applications Open (High Demand, Apply Soon)

Learners Joining from Prominent Places

Career Services by Diginique

10+ Additional AI Tools to save your time by 2 Hrs/day
Lifetime Community Support and Assistance
StartUp Incubation Support upto 50 Lakhs by iHUB IIT Roorkee
100+ Customisable PPT Templates
500+ Excel Formulas and Tricks Sheet
50+ Productivity Hacks to boost efficiency

Batch Information - Weekend and Weekdays Both

Weekdays Batch
Course Duration: Six Weeks
Daily Timing: 7 - 9 PM (Mon- Fri)
Start Date: Oct 21, 2024

Weekend Batch
Course Duration: Ten Weeks
Daily Timing: 2 - 5 PM (Sat - Sun)
Start Date: Oct 26, 2024

Applications Open

Limited Seats Available

₹ 2,999/-

Registration Fee

Total Fee: 9,999/- 6,999/- (Including Registration Fee)

About iHUB DivyaSampark at IIT Roorkee

iHUB DivyaSampark, a section 8 company (Non-Government Organization), is a Technology Innovation Hub, at IIT Roorkee and was set up under the National Mission on Interdisciplinary Cyber-Physical Systems (NM-ICPS), initiated by the Department of Science & Technology (DST), Govt. of India to build innovative solutions, to train manpower and encourage entrepreneurship for the world’s current 4.0 and sustainable smart cities. It is being coordinated by a high-level inter-ministerial coordination committee headed by Niti Aayog CEO, DST Secretary, Secretary, MeitY, Secretary, D/o Heavy Industry, Secretary, D/o Health Research and Central Line Ministries/Departments are members of this committee.

Frequently Asked Questions (FAQs)

What if I have entered my email/phone number wrong
while registering?

No need to worry. Just drop us an email at info@diginique.com and the same will be corrected within 24 hrs.

My payment did not go through successfully. What should I do now?

We apologize for this inconvenience. We encourage you to write to us at info@diginique.com for further guidance. Our team will assist you within 24 hrs.

How can I access the course?

Our team will send you an email with all the necessary details 12 hours prior to the start of the course. This email will include the course joining link and access to the LMS.

Do I need to install or buy any software for this program?

We will provide you all the required software(s) during the session and help you in installing the same, it’ll be completely free. You don’t need to do anything before joining the program.

Is this course really 100% online? Do I need to attend any classes offline at IIT Roorkee campus?

This course is entirely instructor-led online, so there’s no need to be in a classroom in person or at IIT Roorkee campus. You can access your lectures, readings and assignments anytime and anywhere via the web or mobile.

Is attending all live classes compulsory for certification? What if I miss one or more than one class?

We highly encourage everyone to attend all live classes to ensure a smooth learning experience. However, attendance is not mandatory to receive the certificate.

For your convenience, we provide complete recordings of each class on a daily basis. Additionally, you are welcome to reach out to the instructor or teaching assistant at any time for any queries or assistance.

How will my doubts get resolved? What is covered under 24*7 support promise?

We have one dedicated teaching assistant (TA) for your course to take your doubts 24*7. Also, you’ll have one WhatsApp group with the instructor for all the discussions related to the course. We offer 24*7 support through email, chat, and calls.

Does this course provide any placement guarantee?

While we do not offer a placement guarantee, we provide strong placement assistance through our dedicated community, offering guidance, networking opportunities, and resources to help you secure relevant positions in the industry.

I am from Non-tech/ Non-CSE background. I don’t know anything about data science, can I still join this course?

While the course and curriculum are primarily geared towards engineering streams, anyone from any department is welcome to join. We will begin the course from the basics, so no prior knowledge or prerequisites are required.

What if I am not satisfied with the instructor or the way of teaching?

If you have any issue(s) related to the course and delivery, kindly write to us at info@diginique.com. Our team will reach out to you within 24 hrs and assist you patiently.

What if I cancel my registration? Will I get refund?

Yes, you can cancel the enrollment within first two days of the course if required and you’ll get the refund after deducting standard charges (25% of the total fee). No refund is possible before commencement of the course.

I have completed my course. What am I supposed to do now?

You will receive a Certificate of Completion within 48 hours after the course ends. Additionally, a capstone project will be assigned to you, which must be submitted within two weeks. Upon successful submission of the project, you will be awarded the second certificate.

What is the validity of the course material? Will it be with me for the lifetime?

We understand that you might need course material for a longer duration to make most out of your subscription. You will get the lifetime access so that you can refer to the course material anytime.

Whom should I contact if I have additional questions or queries ?

You can contact us at info@diginique.com or at +91-7409146082 (24*7) for all queries related to this course.

Chat With Us!