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
40+ 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
iHUB IIT Roorkee Certificate
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
Applications Open (High Demand, Apply Soon)
Course Features and Benefits
- 40+ Hours live instructor-led online classes.
- Small batches for one to one interaction and doubt sessions.
- Learn from the best faculties of the industry.
- Interaction with the learners from PAN India IITs, NITs, and reputed organizations.
- Complete recording of the course, daily with life time access.
- A chance to present your research/development related work among other participants.
- 6 Months online support related to the course content.
- A digital toolkit of PPTs/software packages, study material and project codes for all participants.
- 24*7 support and assistance through WhatsApp group with the instructor.
- Regular assignments, quizzes and assessments to ensure a smooth learning.
Detailed Course Curriculum
Industry Projects
Our Alumni Work At
Applications Open (High Demand, Apply Soon)
Globally Recognized Certificates
How are we different - A Quick Comparison
Applications Open (High Demand, Apply Soon)
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
Batch Information - Weekend and Weekdays Both
Weekdays Batch
Course Duration: Four Weeks
Daily Timing: 7 - 9 PM (Mon- Fri)
Starting Date: Oct 21, 2024
Weekend Batch
Course Duration: Six Weeks
Daily Timing: 2 - 5 PM (Sat - Sun)
Starting Date: Oct 26, 2024
- Total Fee: Rs .9,999/- 6,999/- (Subsidized by DST Gov. of India)
- Book your seat by paying the registration fee (Rs.2,999/-). Keep the receipt with you.
- Course access details will be shared via email 12 Hrs before commencement of the batch. Pay the remaining installment (Rs.4,000/-) on the first day of course.
- No programming experience required. We’ll start from scratch.
- College/University Students.
- PhD/Research Scholars/JRF/SRF/RA/Postdoc etc.
- Working Professionals.
- Faculty Members/Professors etc.
- Above mentioned all categories are eligible to join the course.
Step 1. Start learning after successful registration.
Step 2. Practice assignments and quizzes.
Step 3. Finish the course and capstone project assigning at the end.
Step 4. Receive course certificate within 48 hours of completion.
Step 5. Submit the project within two weeks.
Step 6. Get project completion certificate within 48 hours of submission.
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.
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