Course Provider
What will you learn in this course?
The course covers the following topics from scratch: Analytical Problem Solving (Guesstimates, Brainteasers, Analytics Approach Questions), Data Preparation & Cleaning, Exploratory Data Analysis, Large Data Manipulation using SQL, Dashboarding & Automation using Excel & VBA, Statistical Modeling using R, Machine Learning & DL using Python, Data Visualization using Tableau / Power BI, Cloud Data Engineering using various cloud-based tools like Airflow, Kafka, Spark, Scala, etc. Backed by intensive interview preparation classes with company specific interview questions and mock interviews with industry mentors, this course prepares extensively towards a successful data career.
You’ll work on:
- 40+ real-life industry case studies
- 10+ research projects
- Mandatory internship projects (for freshers)
- Solve 200+ data interview questions asked to 1000s of Ivy’s alumni
Data Science with Machine Learning and AI Certification
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Skill Type
Emerging Tech
- Domain
Artificial Intelligence
- 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 49,400
- Course Duration
225 Hours
- Course Price
Why should you take this course?
- Option to specialize in Data Science with ML / AI or Cloud Data Engineering: Ivy Pro School’s Data Science with Machine Learning and AI Certification Course gives you an option to specialize in Data Science with ML / AI or Cloud Data Engineering. You also get to work on several cloud-based tools while learning data science concepts, which is a must in modern data companies.
- Delivered by a Top Ranked data science and data engineering school with 14 years of experience and 27,000+ alumni with 4.8+ consistent rating.
- Opportunity to work on 40+ real-life industry case studies, 10+ research projects and mandatory internship projects. This helps you build a strong project portfolio to convert the interviews.
- Build a network with Ivy Pro School’s official fortune 500 clients to help get recruited faster – Ivy Pro School is official learning partner of several large data science firms. You get an opportunity to get recruited by them.
Who should take this course?
- Fresh college graduates from Engineering, B.Sc./M.Sc (Eco / Maths / Statistics / Science / Biotech), MBA, BCA / MCA, or similar profiles. We’ve had great success with commerce and BBA students from top tier colleges as well. People with at least 55% in their graduation are eligible.
- Experienced professionals with experience in finance, IT, core engineering, bio-technology, research, supply chain, marketing, economics, mathematics, statistics generally have good success rate post the program.
- Most importantly, you should have a strong motivation to learn data science or data engineering.
Curriculum
- Dash boarding and Automation Using Advanced Excel
- SQL queries and Relational database management
- Data Visualization using Tableau/ PowerBI
- Business Statistics
- Predictive Modelling with R
- Data Science with Python
- Machine Learning
- Artificial Intelligence
- Deep Learning
Tools you will learn in the course
- SQL
- Excel
- VBA
- Python
- R
- Tableau / Power BI
- Tensorflow
- AWS
- Hadoop
- Various Data Engineering Cloud Tools like Google BigQuery, Hive, Kafka, Spark, Scala, etc.
FAQs
It is an online spanning 9-months, including a 3-month preparatory module. Classes are flexible between weekends and weekdays.
The capstone project is an opportunity for candidates to work on industry-like data science problems under the mentorship of faculty/industry mentors. This project would bring in the all the learnings that candidates would have gained in the course.
The PG Data Science Course is a holistic and rigorous program and follows a continuous evaluation scheme. Candidates are evaluated in the courses they undergo through case studies, quizzes, assignments or project reports.
Yes, candidates do receive placement support. Candidates would be provided with interview opportunities. We would also prepare candidates for these interviews by providing extensive support in terms of mentoring, CV review, interview preparation, etc.