Top 5 Data Science Courses in Indore
Institute | Difficulty Level | Duration | EMI Starting at |
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Simplilearn | Advanced | N/A | 54,000 |
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Careerera | Advanced | 6 Months | N/A |
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LinkedIn Learning | Intermediate | 20 Hours & 06 Minutes | N/A |
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Eduonix | Intermediate | 140+ Hours | 2,100 |
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Udemy | Beginner | 1.5 Hours | 799 |
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1. Simplilearn

Simplilearn is an online digital learning platform that is known for offering training and certification in various technical and administrative fields of the IT industry. It is also affiliated with world-class Universities and leading accreditation bodies. Simplilearn has also partnered with Amazon and IBM in order to provide its learners with a high-quality and industry-relevant course curriculum.
Simplilearn in collaboration with IBM offers a #1 ranked master’s program in Data Science which includes unique hackathons, webinars, masterclasses, and Ask-Me-Anything sessions. This online training course will provide you with hands-on experience in technologies like R, Python, Tableau, Hadoop, Machine Learning, and Spark. In this course, you’ll get to work on industry-relevant projects from the likes of Amazon, Mercedes Benz, Walmart, and many more. This course will help you improve your knowledge in the field of Data Science through live interaction with other practitioners as well as Machine Learning engineers.
Course Syllabus
- Course 1 – Python for Data Science
- Course 2 – Applied Data Science with Python
- Course 3 – Machine Learning
- Course 4 – Tableau Training
- Course 5 – Data Science Capstone
Course Highlights
- Develop skills for real career growth
- Learn from experts
- Learn by working on real-world problems
- Structured guidance
- Capstone and 25+ Data Science Projects
- Add the IBM Advantage to your Learning
- Immersive Learning Experience
- In collaboration with IBM
- Simplilearn JobAssist™
Course Duration & Fees
The price of this course is INR 54,000. The details regarding the duration of this course are not provided on Simplilearn’s website but you can contact them using the contact information given below to know more about this.
Contact Details
Phone: 1800-212-7688
2. Careerera

Careerera is one of the best online learning platforms out there that provide online training courses in various fields to help students, working professionals, and entrepreneurs upskill themselves. They have highly experienced trainers and instructors which are hired after multiple rounds of skills tests. Being a partner with various top-notch companies helps Careerera in providing the best course content and curriculum along with placement assistance to its learners.
Careerera offers a Data Science Professional Certification Training Course in Indore that is specially designed to note as well as serve the ever-rising needs of Data Science professionals. This course is for anyone who wants to become the best in the field of Data Science and gain various skills that the new world marketplace and industries are constantly looking out for. In this course, you will get practical hands-on training and professional guidance in the field of Data Science from industry experts.
Course Syllabus
- Chapter – 1: Getting Started With Python
- Chapter – 2: Python for Data Science(NumPy, Pandas, Matplotlib, Seaborn)
- Chapter – 3: Exploratory Data Analysis
- Chapter – 4: Data Analysis Using SQL
- Chapter – 5: Statistics
- Chapter – 6: Hypothesis Testing
- Chapter – 7: Machine Learning:- Supervised Learning (Regression)
- Chapter – 8: Logistic Regression
- Chapter – 9: Decision Trees
- Chapter – 10: Classification Techniques – CART
- Chapter – 11: Support Vector Machine(SVM)
- Chapter – 12: Unsupervised Learning: Clustering
- Chapter – 13: Principal Component Analysis (PCA)
- Chapter – 14: Ensemble Modelling
- Chapter – 15: BI Tools:- Tableau Basics
Course Highlights
- Live Online
- Student Handouts
- Industrial Projects
- Career Assistance
- Industry Based Trainers
- Multiple Simulation Exams
- Course Completion Certificate
- 200+ Hiring Partners
Course Duration & Fees
The duration of this course is 6 months. The details regarding the fee structure of this course are not provided on Careerera’s website but you can contact them using the contact information given below to know more about this.
Contact Details
Phone: +91-92-5000-4000
Email: [email protected]
3. LinkedIn Learning

LinkedIn Learning is simple, free, and easy-to-use online learning platform that provides an access to over 13,000+ professional courses which are developed by industry experts. In these courses, you can learn at your own pace and get access to in-depth learning via short tutorials. These courses are a great way to enhance your resume and stand out from the crowd while looking for work.
LinkedIn Learning offers Become a Data Scientist which is a learning path that consists of various Data Science courses. This career is created in order to help you in developing a career in the field of Data Science. In this learning path, you’ll get to learn about the fundamental concepts of data science such as Statistics and Systems Engineering, Data Mining, Machine Learning, and more. Through this learning path, you’ll be able to build a solid foundational understanding of statistics which is highly important for any data science-related field. You’ll also learn how to source, explore, as well as communicate with data using graphs and statistics.
Course Syllabus
- A Day In The Life of a Data Scientist
- The Non-Technical Skills of Effective Data Scientists
- Data Science & Analytics Career Paths & Certifications: First Steps
- Data Science Foundations: Fundamentals (2019)
- Statistics Foundations: The Basics
- Statistics Foundations: Probability
- Data Visualization: Storytelling
- Big Data in the Age of AI
- Learning Data Governance
- Data Fluency: Exploring and Describing Data (2019)
- Lessons from Data Scientists
- Side Hustle Strategies for Data Science and Analytics Experts
Course Highlights
- 20h 6m of content
- 12 items of learning content
- Multiple Project files
- Multiple chapter quizzes
- Access on tablet and phone
- Learn from multiple industry experts
- Certificate of completion
- Practice while you learn
- Test your knowledge with quizzes
- Learn on the go
- Stay up to date
- Downloadable course
- Shareable Certificate
Course Duration & Fees
The duration of this Data Science course is 20 hours and 6 minutes and to take this course you’ll have to buy a monthly membership of LinkedIn Learning.
Contact Details
Phone: 1-844-587-5735
4. Eduonix

Eduonix is known for creating and distributing high-quality technology training courses. They have a team of industry professionals who have been in the field of training manpower for more than a decade. They aim to teach technology-related skills that are industry relevant and used in today’s professional world. Their vision is to make learning fun, fulfilling, as well as personalized so students and working professionals can easily upskill themselves through their courses.
Eduonix created a mighty bundle of 18 online courses all of which are entirely dedicated to helping you master all the data science concepts. This bundle is packed with courses that focus on the usage of different programming languages such as Python & R, data mining, data analysis (especially in finance), data cleaning, NLP, neural networks, and so much more. This bundle also consists of TensorFlow and SAS programming and it will teach you how to build real-world projects.
Course Syllabus
- Course 1: Projects in R: Learn R Creating Data Science Projects
- Course 2: Tensorflow for Practitioners with Python
- Course 3: Data Science: Foundations & Regression (Python)
- Course 4: Data Science: Data Mining & Natural Language Processing in R
- Course 5: Introduction To Data Science Using R Programming
- Course 6: Python + Data Science: Practical Guide
- Course 7: Data Science for Beginners – Ebook
- Course 8: Data Science for Beginners with R
- Course 9: Pandas for Absolute Beginners
- Course 10: R Programming for Beginners Ebook
- Course 11: Introduction to Statistics and Data Analysis with SAS
- Course 12: Build Amazing Websites with HTML, CSS, Sass, NPM & Flexbox
- Course 13: Practical Python: Learn Python Basics Step by Step: Python 3
- Course 14: Projects in Data Science Using R
- Course 15: Getting Started with Data Sciences
- Course 16: Data Science – Python for Machine Learning
- Course 17: NumPy for Numerical Computation
- Course 18: Learn Data Science and Machine Learning with R from A-Z
Course Highlights
- 18 Courses
- 910+ Lectures
- 140.64+ Hours of Video
- Rated 4.7 out of 5 Star
- Learn from Experts
- Cost Friendly Course
Course Duration & Fees
The duration of this course can be 140.64+ hours and its price is INR 2,100.
Contact Details
Phone: +91 22-27782183 / 84
Email: [email protected]
5. Udemy

Established in 2010, Udemy is one of the world’s largest MOOC platforms that grant you access to a plethora of courses that are available in various fields and languages. After enrolling in a course from Udemy students gain access to the course content along with the ability to engage and interact with the instructor as well as other students who have enrolled in the same course. Udemy offers a lot of value at affordable prices along with a certificate of completion.
Udemy offers Introduction to Data Science course that will teach you everything you need to know about this world. In this course, you’ll be able to identify various different tools, languages, and frameworks used in the field of Data Science. You’ll also be able to identify a suitable area of Data Science that fits you and take the action according to it. This course is very generic and it can be helpful to anyone who is entering the field of Data Science for the very first time.
Course Syllabus
- Introduction3 lectures
- Tools and Data4 lectures
- Analytics Project Framework and Life Cycle
- Challenges in a Data Science Project
- Congratulations!
Course Highlights
- 1.5 hours of on-demand video
- Full lifetime access
- Access on mobile and TV
- Certificate of Completion
Course Duration & Fees
The duration of this course is approximately 1.5 hours and its price is INR 799.
Contact Details
Email: [email protected]