Program Overview
The Postgraduate Certification Program in Data Science and Machine Learning curated by the Manipal Academy of Higher Education (MAHE) is aimed to provide opportunities to students who wish to build-on expertise and employment in data-centric areas of employment.
The industry-aligned curriculum that will enable aspiring data enthusiasts to master trending Data Science & Machine Learning tools and techniques.
Industry Statistics
Data skill labor demand has more than doubled (+231%)
97,000 jobs in Data & Analytics remained vacant
The global big data market is predicted to be worth $64 billion
FORMAT
Online Live Sessions
DURATION
6 Months
START DATE
Date
ENTRY REQUIREMENTS
View Eligibility Criterion
Recommended Hours of Study
5 hrs/ week
What You’ll Learn
Program Specifics
Master statistical techniques and programming language for Data Science
Hands-On Learning
Assessment based learning with course-led mini projects and capstone project
Placement Grooming
Develop problem solving, critical thinking abilities to be interview ready
Eligibility criteria
Graduates with a minimum of 50% marks from a recognized institute/ university with either mathematics, statistics or programming as subjects in a qualifying degree can apply (no work experience required).
Program Modules
- Starting Python & Basics of Python Language
- Python Core Data Structures)
- Functions, Modules and Object-Oriented
- Programming
- Exception Handling, FILE Input/output
- NumPy
- Introduction to Pandas,
- Operations in Pandas - Part I
- Operations in Pandas - Part II
Tools used
Jupyter Notebook for Python
- Introduction to Statistics and Linear Algebra
- Probability
- Sampling
- Testing of Hypothesis
- Data Relationship through Correlation
- Regression
Tools used
Jupyter Notebook for Python & MS Excel
- Data Scrapping
- Introduction to RDBMS with SQL
- NoSQL
- MongoDB
Tools used
Jupyter Notebook for Python & SQL querying language for DBMS
- Introduction to Data Science
- Data Analysis and Storytelling
- Visualization and Communication using
- Descriptive Analysis
- Data cleansing and transformation,
- Building Dashboards
- Dimension Reduction and Visualisation
Tools used
Jupyter Notebook for Python for Data Analysis, Tableau for Data Visualisation
- Introduction to Machine Learning and Data
- Science
- Classification
- Validation Measures
- Clustering
- Recommendation systems
- Time Series
Tools used
Jupyter Notebook for Python, SQL data
- Introduction to AI
- Applications of AI
- Programming with TensorFlow
- High-level TensorFlow APIs
- TensorBoard
- Deep Learning (DL) and Reinforcement
- Learning (RL)
Tools used
Jupyter Notebook for Python and TensorFlow API
- Introduction to Unstructured Data Analysis
- and Text Analytics
- Linguistic Basics
- Text Modelling
- Text Classification and Topic modeling
- Sentiment Analysis, document
- clustering and similarity
- NLP Application - Chatbot
Tools used
Jupyter Notebook for Python
Programming Languages and Tools Covered
About the Certification
The certification will help you distinguish yourself, with developing data and machine learning competencies, and also advancing your proficiency in programming languages relevant in modern business settings.
34%
Average percentage of salary hikes received by our alumni
2,500+
Number of companies that
hire Jigsawiites
3,000+
Job postings on the Jigsaw
career board in 2020
Top Career Paths For Students
With data science being one of the fastest growing verticals , the average salaries range anywhere from $1,36,780 to $1,69,182.
Gain Data Science Expertise From Industry-experts and Leading Advisors
Dr. Chetana Hegde
Senior Faculty,
UNext
Mallikarjuna D
Senior Faculty,
UNext
Vinay Katukar
Senior Associate Faculty,
UNext
Chandrika R Bhargava
Head of Program -
PGCP-DSML
Gaurav Vohra
CEO & Co-Founder,
Jigsaw Academy
Sarita Digumarti
COO & Co-Founder,
Jigsaw Academy
Sameer Dhanrajani
Industry Expert
Anand S
Industry Expert
Pankaj Rai
Industry Expert
Hear From Our Alumni
Sreshta Sinha Roy
Research Analyst, Placed in Amazon
Even with a B.E in E&C, I knew that I needed a specialization to make a mark. I opted for an online course & soon realized it won’t be enough. But this program with hackathons, datathons & industry interactions truly gave
me my edge. And today, I’m with Amazon.
Akalya Subramanian
Intern at Federal Artificial Intelligence Services
This Data Science course by MAHE & Jigsaw Academy is the best option for someone who wants to pursue a career in data analytics. It's a good course with a highly experienced teaching faculty.
Piyush Sharma
Equifax
I recently finished this Data Science program from MAHE & got placed in one of my dream companies, Equifax!
Hear From Our Alumni
Venkata Ravindranath
Consultant, Fractal Analytics
As a JS Developer, I was making a modest salary in a stagnant role & I wasn’t excited about my growth prospects. With this program, I got that
crucial upgrade as a Data Consultant, with an 86% pay hike!
Halappa Guruppanavar
Business Analyst, TCS
As a BBM graduate, I had almost accepted that I can never make it into analytics, because of my lack of relevant education. But this program didn’t just bring me my dream job but also a salary hike of 110%.
Swapnil Singh
Machine Learning Scientist, dhiOmics Analytics
This program is amazing for those candidates who want a career transition or who are looking to start their career in the field of analytics. It's best to focus on the curriculum they made, and if you follow it strictly you will definitely have a good job just the way I did.
FAQ
The Data Science and Machine Learning certification program consists of the practical knowledge curriculum to support course-specific and capstone projects. We estimate that students can complete the program in four (6)months, working 5 hours per week.
Each project will be reviewed by the Unext reviewer network and platform. Feedback will be provided and if you do not pass the project, you will be asked to resubmit the project until you have an adequate score.
All internal as well as external evaluations, including hands-on assignments, will be conducted using Remote Proctoring. Internal Assessments (70%): MCQ/Descriptive/Programming. Final Assessments (30%): MCQ/Descriptive/Programming.
- Total Score Will Be Formulated Based On: Sum of Internal Assessments & Final Assessments
- Minimum passing percentage: 35% in Course-end Evaluation
- Certification Eligibility: A minimum of 40% to be obtained in total score to successfully complete.
The program is designed to fit your schedule and pace. The live events are a part of your studies, but these will be recorded and can be watched afterwards if you aren’t attending the live broadcast.
We can accept payments made by card (Visa, Mastercard and American Express) or via our online system. Want to know more? Read our terms & conditions or contact us.
Please see the Terms of Use for policies on enrollment in our programs.
Advance Your Career In Data Now!
Need more information before you join us? Register to find out
© 2021 Unext