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- Data Science with Python in Mumbai

Duration : 70 hrs
Learn 6 courses in 1 specialization track for Data Science Course in Mumbai with Placement
Technogeeks’s data science training course is designed for people seeking certification in Python Programming, Data Science, Artificial Intelligence, Machine Learning, Deep Learning, and Natural Language Processing (NLP). The course is conducted by working IT professionals in the field.
- Pay only after attending one FREE TRIAL OF RECORDED LESSON
- No prerequisite
- Course designed for non-IT as well as IT professionals
- Flexible batch switch is available
- Online Training – Can switch from online training to training with nominal fee
- 100% placement calls guaranteed till you get placed
- Working professional as instructor
- Hands-on Experience with Real-Time Projects.
- Proof of concept (POC) to demonstrate or self-evaluate the concept or theory taught by the instructor. 2 – Python POC, 5 – Data Science POC
- Hands-on Experience with Real-Time Projects
- Resume Building & Mock Interviews
- Evaluation after each Topic completion
- Interview Preparation Support
Instructor-led Data Science Live Online Training
Can’t find a batch you were looking for?
- Complete the Data Science Course Online Training
- You can attend multiple batches of the same trainer & complete the Data Science Course Training
- Completion of all exercises, assignments & capstone project.
150+
Batches Completed
Industry Oriented Syllabus
Designed By Expert
2000+
Happy Students
Self Assessments
Quizzes, POC
8+
8+ Years Of Experience
Recorded Sessions
1 Year Of Access
Our Candidate's Placement Record!
Book Your Seat Now ! At just ₹5000!
No Cost Two Easy Installments!
Technogeeks cover multiple projects in this training to make sure that candidates must be able to work in real-time.

Getting insights using python analysis and visualizations on finance credit score data.

Practice project for Linear regression using advertisement data set to predict appropriate advertisements for users.

Practice project on decision tree and random forest using social network data to predict if someone will purchase an item or not.





















Let's schedule a session with a career counsellor.


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