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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.
Chandrika R Bhargava, currently serving as Director - Tech & Data Science, possesses over 22 years of expertise in IT, education, and training. As a certified Automation Anywhere trainer and RPA professional, she specializes in data analytics, artificial intelligence, and machine learning. With a PMP certification and a background in BPM, Oracle, and SAP middleware, Chandrika has excelled in technical and functional domains, notably at Infosys Limited. Her extensive experience in Retail Supply chain, Telecom, and Auto sectors showcases a versatile skill set. Chandrika is recognized for her role in designing technology-based training programs to meet diverse business requirements.
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.
Swarnalatha Devarakonda, a technology enthusiast with 25 years of IT industry experience, excels in providing robust cloud solutions (AWS, Azure, Google) and Java full-stack training. Her expertise spans multi-cloud environments, microservices, Spring Boot Architecture, and DevOps technologies. Swarna has hands-on experience with AWS services like EKS, Redshift, and Data LakeFormation, as well as Azure services including SQL, Synapse, and Data Factory. Additionally, she has contributed to publications and achievements, including delivering webinars for NASSCOM and Techg, showcasing her proficiency in handling high-profile virtual training sessions and managing large client accounts in Cloud Computing.
Adarsha is a seasoned trainer with over 12 years of expertise in data analysis, AI, machine learning, predictive modeling, and NLP. Proficient in Python, he excels in data modeling, AI/ML, NLP, text analytics, deep learning, Pytorch, and Spark-NLP. Adarsha has conducted corporate trainings for renowned clients like Mercedes Benz R&D, Hitachi R&D, and GE Global Research. Holding a B.E. degree from SIT Tumkur, he received accolades, including the Best Employee Award in 2015 at Magical Imagination and client appreciation at GE Global Research. Adarsha's notable achievements include designing a Recommendation Engine for Tillster.
Alok Chakravarty is a seasoned professional with over 18 years of extensive experience in IT and academia. Proficient in data modeling, statistics, machine learning, and data visualization, Alok has conducted workshops and training sessions for prominent enterprises such as Siemens, Wipro, and IBM. With a solid educational background, including an M.Tech from IIT Kanpur, Alok holds certifications in Dataiku Core Designer, Machine Learning Using Python, and Statistics Using Excel. Noteworthy achievements include serving on the Board of Studies at Garden City University and as a Board of Examiners at Jain University and ISME. Alok has also contributed to publications and conducted workshops at esteemed institutions.
Mayukh Ghosh, a seasoned Data Science Practitioner with a decade of industry experience, is a prominent trainer and mentor with over 8 years of core training expertise. Proficient in R, SAS, Python, and Statistics, he has successfully delivered analytics training to corporate clients like WNS, McAfee, and Coca Cola. As the Director of the IPBA program by IIM Indore and Jigsaw Academy, Mayukh has showcased leadership in the education sector. His role as Lead SME at UNext Learning involves overseeing Data Science and Machine Learning. With qualifications in Machine Learning from IIT Tirupati, Mayukh has trained and mentored over 500 participants and contributed as a feature writer for Yahoo and TOI Blogs.
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.
Nithyalakshmi M, with an exhaustive 14+ years of experience, excels in teaching Python with Data Science, Machine Learning, R Programming, and Statistics. Proficient in data and quantitative analysis, she possesses expertise in predictive modeling, data-driven personalization, and various data mining tools. Nithyalakshmi has conducted numerous corporate and postgraduate program trainings for clients such as Deloitte, Bajaj FinServ, and Axis Bank. Currently pursuing an MBA in Data Analytics, she holds an M.Phil. in Mathematics and has earned multiple certifications, including Machine Learning with Python and Statistics with Python from Coursera. Nithyalakshmi's achievements include being a Silver Medallist in M.Sc. Mathematics and earning the 3rd rank.
Bhagyashree. C, a seasoned trainer with 17+ years of experience, specializes in programming languages such as C, C++, Java, and diverse technologies like Spring, Hibernate, and Spring Boot. Her expertise extends to developing RESTful applications, Microservices, and front-end applications using HTML, CSS, and JavaScript. With a background in Embedded Systems (M.Tech) and Electronics and Communication (B.E), Bhagyashree has delivered comprehensive training for enterprises like MoveInSync, LG, and Zap Infotech. Her skills cover SQL, PL/SQL, and distributed version control using GIT. As a certified SCJP 6.0 programmer, she brings a wealth of knowledge and practical experience to her training endeavors.
Arib Nawal, with 5 years of expertise, excels in delivering corporate and industry-level training on Python, Data Science, Machine Learning, and Cloud Computing. Proficient in a wide array of technical skills, including Python programming, Data Modeling, and AI, Arib has collaborated with notable enterprises such as Tata Power, ICICI Bank, and Hewlett Packard. A recent graduate with a BE in E&TC, Arib holds certifications in Microsoft Azure fundamentals, Azure AI fundamentals, and Power BI Data Analyst Associate. His training experience spans sectors like Fractal AI, Deloitte, and Shell, showcasing a versatile skill set and a commitment to staying at the forefront of technology.
Karthik Anand, a seasoned trainer with a decade of experience, specializes in data modeling, statistics, and machine learning. Proficient in EDA, SQL, and Python, he has delivered training for notable enterprises such as Aditya Birla Group, Manipal Hospitals, and Deloitte. Currently pursuing a Ph.D. at Visvesvaraya Technological University, Karthik holds an M.Tech in Thermal Power and a BE in Automobile Engineering. Certified as a Data Scientist, he has published over 15 research papers in international journals, showcasing his commitment to advancing knowledge. Karthik's expertise lies in data analytics, exploratory data analysis, and data visualization, making him a valuable asset in the field.
Shwetha G N, with over 11 years of teaching experience in Computer Science and Applications, is a proficient trainer in Java, Python (specifically in Data Science and Web frameworks like Flask and FastAPI), HTML, CSS, JavaScript, SQL, and Power BI. Actively engaged in professional development through conferences and research activities, she has conducted workshops for faculty and students, partnering with enterprises like Axis Bank, Capgemini, and MathCo. Shwetha holds a Master of Computer Applications degree and has contributed to NPTEL's courses on Python and Data Science. Her research papers on topics like Underwater Image Enhancement and Smart Home Automation reflect her expertise and innovative contributions.
Vinod Krishna CK, with over 10 years of experience, has contributed significantly to projects in Banking AML and telecom with IBM and HCL. As a skilled trainer and educator, he imparts knowledge in Data Science tools like SAS, R, Python, Tableau, Power BI, and Advanced Microsoft Excel at Mount Carmel College Bangalore. Proficient in SAS (Base, Advance, Analytics), R, Python, and visualization tools, Vinod has collaborated with industry giants such as IBM, Loreal, DXC Technologies, and HDFC ERGO. His achievements include successful project migrations from Tableau to Power BI, code replication across languages, and automation of reporting with interactive dashboards using Data Science tools.
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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