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Manipal Institute of Technology’s (MIT) Postgraduate Certificate Program in Data Science & Machine Learning helps learners master trending data science & machine learning tools & techniques such as python programming, database management & SQL, statistical technique for data science, EDA & feature engineering, and data visualization. This comprehensive 9-month program provides learners with hands-on experience through 7 intensive micro projects & 2 capstone projects, along with mentoring sessions for the micro projects.
Become an accomplished data science professional by acquiring essential skills and knowledge from world-class faculty. Break into high-paying jobs across sectors and stand out in today’s data-driven world.
Gain expertise in data visualization, coding, statistics, and data analysis by learning core data science and machine learning subjects like statistical techniques for data science, machine learning & neural Networks, artificial intelligence, python programming, and SQL.
Make the most of the career support guarantee/ assistance programs and increase your employability quotient. Utilize the career support training sessions for enhancing your aptitude, building your resume, LinkedIn profile, and more.
Understand and exchange industry best practices with a network of peers, faculty members, domain leaders, industry experts & professionals through discussion forums & webinars. Build a strong professional network by getting access to Manipal Academy of Higher Education’s 1 million strong alumni network.
Benefit from a 100% online experience with zero compromise on quality through online enrollment, orientation, classes, assignments, projects, examinations, and career support. Get assistance from dedicated course mentors and 24×7 student support.
Our online Post Graduate Certificate Program in Data Science and Machine Learning program equips you with the necessary skills and knowledge needed to establish a lucrative career in diverse job roles.
9 months
Self-Paced Learning
Microsoft excel advanced
Python Programming
Basics of Python Language
Python Core Data Structures
Functions, Modules and Object-Oriented Programming
Exception Handling, FILE Input/Output
NumPy
Introduction to Pandas, Operation in Pandas - Part 1
Operation in Pandas - Part 2
Micro Project 1
Database Management & SQL.
Introduction to SQL
Installation in SQL
DDL and DML Statements
Databases and Tables
Aggregate Functions
Joins and Set Operations
Sub-Queries, Operators and Derived Tables in SQL
Stored Procedures and Triggers in SQL
Micro Project 2
Statistical Techniques for Data Science.
Introduction to Statistics and Linear Algebra
Probability
Sampling & Estimation
Testing of Hypothesis
Micro Project 3
EDA & Feature Engineering.
Introduction to Exploratory Data Analysis
Uni, Bi & Multi variate Analysis
Missing & Outliers treatment
Scaling & Encoding techniques
Feature Engineering
Micro Project 4
Data Visualization & Business Intelligence.
Business Problem Solving
Visualization Principles
Basic Plots
Advanced Plots
Dashboard Creation
Storytelling through Dashboard
Micro Project 5
Machine Learning -1.
Introduction to Machine Learning
Regression
Classification
Clustering
Micro Project 6
Micro Project 7 on Classification
Integrated Capstone Project.
Programming with Tensorflow
Open CV and Convolution Neural Network
Natural Language Processing
Recurrent Neural Network
Recommendation System
MLOps
Capstone Project 2
Introduction to Data Engineering
Big Data and PySpark
Hive
Kafka
MongoDB
Cloud – AWS (Introduction)
Make the most of the free Coursera access and choose from over 10,000+ professional certifications and courses from leading global universities while completing your degree.
FULL COURSE FEE
Candidates must have completed graduation from a recognized institute/ university with either mathematics, statistics, or programming as a subject in a qualifying degree.
Candidates must have minimum 50% marks in aggregate in graduation.
Candidates looking to gain expertise in Data Science and Machine Learning concepts.
Choose the program you want to pursue & register by filling in your basic details and paying the application fee.
Choose from either placement guarantee or placement assistance. Eligible candidates who opt for placement guarantee are required to clear a written test and an interview.
Fill in your educational & work experience-related details.
Pay the program fee and proceed with the application process.
Upload supporting documents & submit your application to complete the process.
Mallikarjuna is an experienced professional who trains students in various aspects of operations management and data science. He also has vast expertise in statistical modeling and banking analytics. With over 18 years of academic experience in teaching and training, he enjoys training in data science and machine learning education.
Akshatha possesses over 9 years of professional experience and has great expertise in python, MATLAB, data analytics, aata visualization, tableau, machine learning (ML) & signal processing. She is highly passionate about data science & ML and holds several course certifications & permit for electrical supervisor grade B granted by Kerala State Electricity Licensing Board. Currently, Akshatha works as a SME - Data Science at UNext.
Dr. Suman Katragadda is the Founder and CEO of K-Arogia, a smart healthcare network. Suman is an analytics advisor and holds consulting experience in the healthcare industry. He has a doctorate degree in statistics and has contributed immensely to companies like PwC and Express Scripts.
Vandana has over 11 years of training experience in data modeling, data science, python programming, python with data science, python with machine learning, deep learning, R programming, and data visualizations. She has worked across various domains such as BFSI, retail, and healthcare, with big corporates like Bank of America, Mastercard, WNS, and Deutsche Bank.
Dr. K Sailaja Kumar is an accomplished professional with over 23 years of experience in academics. She has expertise in machine learning, programming, data structures, big data, cloud computing, mobile application development, data analytics, data mining, data modeling, data interpretation, feasibility analysis, correlation / regression analysis, BI tools, statistical data analysis, and data visualization. Sailaja has 22 research publications in various peer-reviewed journals to her name.
Naga Brahmam is a Certified Solution Architect, Trainer, and Consultant with over 20 years of professional experience. He has previously worked as a Trainer for Walmart Labs, Oracle, Deloitte, and as a Solution Architect for Alcatel Lucent, Mercedes Benz, CTS, and Aricent. He imparts highly technical knowledge in an easy-to-understand manner to all levels of the IT workforce. His areas of expertise include big data, kafka, azure, AWS, GCP, MLOps, devOps, NoSQL & elastic search.
As a JS developer I was making a modest salary in a stagnant role and I wasn’t excited about my prospects. But this course has helped in my career advancement.
This course 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.
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.
The Postgraduate Certificate Program in Data Science and Machine Learning is a 9-month course that helps students acquire knowledge of in-demand data science & machine learning tools & techniques such as python programming, database management & SQL, statistical technique for data science, and data visualization and prepare them for high-paying job roles in the highly popular data science domain.
The duration of the online PG Certificate Program in Data Science and Machine Learning is 9 months.
The PG Certificate Program in Data Science and Machine Learning is an online instructor-led program that can be accessed from anywhere.
Students who have completed the course successfully will be awarded the certificate from the Manipal Institute of Technology.
Yes, we have industry experts and corporate partners who play an active role in designing the program curriculum, learning interventions, internships, and placements.
A student is eligible for placement guarantee, only if the student fulfills the following conditions:
Candidates who have graduated with a maximum gap of 2 years before joining the program and have work experience of maximum 2 years with a graduation score of 60% or more. Candidates who have graduated with a maximum gap of 3 years before joining the program need to possess work experience for a minimum of one year with a graduation score of 60% or more.
Note: Learners who do not fall under the criteria mentioned above are eligible for admission with placement assistance only and not for placement guarantee facility.
Candidates who’ve graduated with 50% and above marks from a recognized institute/ university with either mathematics, statistics, or programming as a subject in a qualifying degree can apply.
Note: Since the program starts from scratch and aims at helping the participants to get in-depth understanding of the subjects, coding experience is not mandatory.
The application process is completely online, and applications can be submitted at www.onlinemanipal.com by providing the required details. If you need further assistance, then you can reach out to our admission counsellor at +91-9019-997-000 and they will assist you with the application process.
The admission test will be based on the following:
You will get a total of 60 minutes to complete the Verbal Ability, Thinking Skills, Programming Ability & Technical Ability sections and 60 minutes to complete the Coding Assessment section.
Refunds will be processed according to our Refund policy.
This program is delivered in a 100% online mode so that students can attend live classes remotely, while also pursuing their professional and personal commitments in parallel.
In this online placement guaranteed* program, you will master tools such as Python, Power BI, Big Data Tools (Pyspark, Hive and more), SQL, Microsoft Advanced Excel. Additionally, the program also covers packages like NumPy, Pandas, Matplotlib, Scikit-Learn, TensorFlow, and Keras.
During the 9-month online PG Certificate Program In Data Science and Machine Learning, a learner will work on 2 capstone projects. The first one will be the “integrated capstone project” (module 7 – 16 hours). The second one will be an “elective capstone project” (module 8 – 12 hours) where the learner will have to choose between Neural Networks or Data Engineering.
Yes, there will be assessments, scores and grading for the courses conducted.
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