Course Provider
What will you learn in Data Science and Artificial Intelligence course?
- Learner will be learning Foundation to Data Science
- Fundamentals of Statistics
- Advance Database concepts
- Python for Data Science
- Overview of Machine Learning
- Supervised Machine Learning
- Unsupervised Machine Learning
- Visual Analytics and storytelling
- Introduction to Deep Learning and Advanced AI concepts like Neural network, NLP, Computer vision which will make learner become industry ready to target for job profiles like Artificial Intelligence Engineer, Data Analyst, Machine Learning Engineer, Business Intelligence Engineer, Deep Learning Engineer, Data Science consultant Data scientist NLP engineer etc.
Data Science and Artificial Intelligence
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Skill Type
Emerging Tech
- Domain
AI/BDA
- Course Category
Deepskilling Course
- Placement Assistance
Yes
- Certificate Earned Joint Co-Branded Participation Certificate & Partner Completion Certificate
- Nasscom assessment Coming Soon
- Course Covered under GoI Incentive
Yes
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- Course Price
INR 75,000+ 18% GST
- Course Duration
180 Hours
- Course Price
Why you should take Data Science and Artificial Intelligence course?
One should take this course to start their career journey or career transition in Data Science domain, where daily live sessions are taken using live projects from the industry experts in small batches. On top of that we give 100% Placement AssistanceWho should take Data Science and Artificial Intelligence course?
Working professionals from any graduation streams like BE, Btech, MBA, MCA, BCA, BSc, BBA, BCom, etc background with minimum 1+ years of experience
Tools you will learn in Data Science and Artificial Intelligence course:
- Advanced Excel
- MySQL
- Tableau
- Anaconda
- Python
- NumPy
- Pandas
- Matplotlib
- Jupyter
- Notebook
- Machine Learning
- TensorFlow
- Keras
FAQs
Certificate in Data Science and Artificial Intelligence is a 6-month rigorous online program designed specifically for freshers and professionals with less than 3 years of work experience. The program is designed for one to start a career in Data Science, Machine Learning and Deep Learning. This program is designed and delivered by industry practitioners enabling learners to get practical exposure while getting upskilled and establishing a professional network which accelerates entry into Data Science careers.
Upskilling: Primarily, our mentors and experts continuously put efforts in building participants' resumes by imparting the right skills which are required for targeted job profiles via projects. Resumes are optimized so that search appearances for relevant search on job search portals increase. Students are also prepared well for their interviews via personal mentoring and providing interview questions.
Access to opportunities: Our HR team continuously works in tracking companies who are in hunt for candidates of desired profiles. Resumes of participants are then circulated to these potential recruiters increasing their chances of getting jobs.
Every Candidate has to complete all the assessments which are provided periodically and should attend every mock interview which are conducted. This enhances the ability of the candidate and boosts his confidence to clear the interview in placements.
One can expect our support from allocated mentors round the clock for each and everything including doubt clearing to career building. We write your resumes and even give you access to our Job portal. We offer endless placement support.
Instead of a placement guarantee, we provide endless placement support till you get the job. This program is intended to provide all the skills and abilities which a candidate needs to crack an interview.
Yes, right from the beginning every learner will be carefully monitored by personal mentors who would be guiding them throughout their learning path and mentoring of candidates continuously even after one completes the program.
This program helps you develop skills which can fetch you an eligibility into multiple profiles from Junior Data Scientist, Business Analyst, Data Analyst, Machine Learning Engineer, Python Developer, Tableau Developer etc.
Purely based on our experience in online teaching-learning pedagogy, the optimal batch size of learners is 10 to 12. We allow a maximum of 10 participants in one batch so that every participant gets personal attention, and we can track the learning progress.