Best Data Science Certification Courses in India

Summary: Uncover best Data Science certification courses in india offering skills in Python, Machine Learning, and big data technologies. These programs enhance career prospects through structured learning paths and industry recognition, preparing professionals for real-world data challenges.

Introduction

Data Science is among the most exciting domains in today’s digital day and age. Demand for trained data professionals is increasing rapidly, even as the supply remains erratic and fulfilling. So, here’s a blog to help you understand India’s emerging best Data Science certification courses.

This is the case when the industry’s salaries are among the best in the market for fresh entrants and experienced executives alike.

This has led to a spate of Data Science certification courses, which aim to bridge the gap between dynamic industry requirements and the relatively unchanging curriculum followed in institutions around the country. Most professional Data Science certifications cost less than full-time courses and are organised online, giving learners more flexibility.

What is Data Science?

Data Science is the field that applies data-driven techniques to solve problems. Most Data Scientists combine the skills of statisticians, Machine Learning experts, and computer programmers. 

They are often called “Data Scientists” or “Data Analysts.” They collect and analyse massive amounts of data and then draw conclusions. Their findings can then be applied across different industries to solve real-world problems. This article will examine various Data Science certification courses and programs available in India.

Applications of Data Science

Different industries, such as healthcare, finance, retail, and more, need Data Scientists. Data Scientists help solve various business problems, such as increasing revenue, improving customer satisfaction, and predicting future market trends.

• In healthcare, Data Science can be used to diagnose diseases more accurately and prevent them in the future. It can also be used to predict and improve patient outcomes. For example, hospitals and insurance companies can use data to determine factors affecting their customers’ health insurance premiums.
• Data Analysis uncovers hidden patterns and trends in the finance industry to help companies make better business decisions. Machine Learning techniques, such as regression analysis, can be used to forecast revenues and identify fraud.
• Retail stores use Data Analytics to create personalised experiences for customers. Retailers can also use Data Analytics to gain insights into customer behaviour to serve their needs better. 

Why are Data Science Courses popular?

Data Science courses have surged in popularity due to the escalating demand for skilled professionals who can leverage data insights to enhance organisational efficiency. Businesses are increasingly automating processes and seeking to optimise decision-making through data. 

Thus, the need for trained Data Scientists has skyrocketed. This trend is fueled by several factors that underscore the relevance and importance of Data Science certification courses in today’s job market.

• Rising Demand in Automation: Organisations seek to automate operations and improve efficiencies using data-driven insights. Consequently, there is a growing demand for Data Science professionals who can effectively harness data to drive decision-making and operational improvements. 
• Short-Term Project Opportunities: Certified Data Scientists often engage in short-term, high-impact projects such as developing statistical models for analysing complex datasets like medical data from clinical trials. This trend highlights the specialised skills required and the immediate application of Data Science knowledge in critical sectors.
• Expansion of Data-Driven Roles: The field of Data Science is expanding rapidly, with businesses seeking qualified professionals capable of solving intricate business challenges through advanced Machine Learning algorithms and Data Analysis techniques.
• Organisational Value Creation: Companies are recruiting skilled Data Scientists to bring tangible value to their operations. These professionals are expected to deliver actionable insights to drive innovation, optimise processes, and enhance overall business performance.

Transitioning from the increasing demand for automation to the specific roles and projects Data Scientists undertake, the narrative illustrates how these factors collectively contribute to the popularity and relevance of Data Science courses in today’s competitive job market.

Top Data Science Certification Courses

Knowing about top Data Science certification courses is crucial for career advancement. These certifications validate skills in Data Analysis, Machine Learning, and big data technologies, boosting employability and credibility in the competitive job market. They provide structured learning paths and industry recognition, enhancing opportunities for professional growth and higher salaries.

Post Graduate Diploma in Business Analytics (PGDBA) Course by IIM Calcutta, IIT Kharagpur, and ISI Kolkata

PGDBA is a unique program designed by three leading business schools. It provides a comprehensive learning experience to individuals interested in learning the role of analytics in business and how businesses can optimise their operations and drive growth.

Skills acquired:

• Data Visualisation techniques, including Python and R Programming
• Domain Knowledge Management
• Business Impact Modeling using Excel
• Advanced Statistical Techniques using SAS and R Language
• c & Predictive Analysis Using R language
• Statistical Analysis for Business Decision Makers
• Storytelling & Communication using Tableau Software
• Building Dashboards & Visualising Analytics using Power BIMachine Le
• Building Analytical Solutions using Azure Platform 
• Understanding Emerging Technology Trends

Postgraduate Diploma in Data Science (PGD-DS) Course by Jigsaw Academy, Bangalore

Jigsaw Academy’s 15-month, part-time Post Graduate Diploma in Data Science is an in-depth program designed to equip professionals with the requisite skills to understand and analyse large and complex datasets and apply different algorithms to solve various business problems. 

The course also covers Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Hadoop, and Cloud.

Skills acquired:

• Data Structure – Algorithms – Data Interpretation 
• SQL – Text Mining – Python Scripting – R programming – Machine Learning –
• Basics of computing fundamentals like data structures, algorithm design, and problem-solving (e.g. c,c++, java).
• Machine Learning (including clustering, regression, dimensionality reduction, and data mining)
• Deep Learning
• Natural Language Processing
• Computer Vision
• Hadoop
• Cloud
• Understand and analyse large and complex datasets

PGP in Data Science Course by Praxis Business School

The Praxis Business School PGP in Data Science equips students to become adept Data Scientists capable of conducting complex analyses and proposing data-driven solutions. Students gain statistical modelling, Machine Learning, and database management skills, which are essential for large-scale analytics projects.

Skills Acquired:

• Building analytics systems using Data warehouse and Big Data technology
• Extracting meaningful insights using Data Mining techniques
• Implementing predictive analytics for forecasting
• Understanding real-world phenomena through applied statistical modeling
• Implementing enterprise-wide analytics solutions
• Utilising R programming for Data Analysis
• Employing SAS for statistical analysis
• Managing SQL Server databases
• Working with Amazon Redshift databases
• Developing analytical process frameworks

PGP in Data Science and Engineering Course by Great Learning 

The PGP in Data Science and Engineering by Great Learning, offered in collaboration with BITS-Pilani, is a comprehensive online program spanning four semesters. It focuses on equipping students with advanced skills in Big Data management and analytics through interactive live classes, webinars, and practical projects, facilitated by industry experts and faculty.

Skills Acquired:

• Proficiency in Python and Hadoop
• Mastery of Spark MLlib for data processing
• Application of Machine Learning Techniques (MLT)
• Competence in SQL for data management
• Utilisation of Amazon EMR for cloud-based services
• Implementation of AWS Lambda for serverless computing
• Exploration of Deep Learning with TensorFlow
• Application of Keras for neural network modelling
• Utilisation of PyTorch for Deep Learning Frameworks
• Competence in Spark MLlib for advanced analytics

MTech in Data Science and Artificial Intelligence Course by Mukesh Patel School of Technology Management & Engineering

The MTech in Data Science and Artificial Intelligence at Mukesh Patel School of Technology Management & Engineering equips students with Data Mining, Business Intelligence, and Predictive Analytics expertise. Emphasising practical training through projects prepares students to apply statistical techniques and AI tools to solve complex business challenges.

Skills acquired:

• Analysing large and complex datasets using statistical techniques
• Performing data transformation and cleaning
• Understanding algorithms for extracting meaningful data insights
• Building predictive models using AI techniques
• Developing applications in R, Python, Spark, and MATLAB
• Applying Data Mining principles effectively
• Utilising Business Intelligence tools
• Conducting comprehensive Data Analysis
• Implementing Machine Learning algorithms
• Customising learning through specialised areas of interest

Google Data Analytics Professional Certificate Course by Coursera

The Google Data Analytics Professional Certificate on Coursera offers eight beginner-friendly courses. Taught by Google data experts, it equips learners with essential skills in SQL, spreadsheets, R programming, and Tableau. Participants gain proficiency in data cleaning, analysis, and visualisation and learn best practices for junior data associates.

Skills acquired:

• Using SQL, spreadsheets, R programming, and Tableau
• Data cleaning and preparation for analysis
• Data Analysis techniques and methodologies
• Data visualisation using various tools
• Best practices in data management and analysis
• Creating and interpreting dashboards
• Presenting insights through effective presentations
• Understanding data structures and formats
• Collaborating in data-driven environments
• Applying analytical skills in real-world scenarios

Further, the learners can also opt to pursue the course for free. This would give the impression that a Data Science free online course with a certificate exists. However, that would not let them get a certificate at the end of the course. Financial aid is provided as well.

Professional Certificate in Data Science Course Harvard University

Harvard University’s Professional Certificate in Data Science, taught by Professor Rafael Irizarry, comprises nine courses on real-world Data Analysis challenges. It covers fundamental R-Programming, key statistics concepts, data wrangling with dplyr, visualisation using ggplot2, and practical skills in Git, Linux, and RStudio.

Skills acquired:

• Mastering fundamental R-Programming skills
• Applying key statistics concepts such as probability and inference
• Performing data wrangling using dplyr
• Creating visualisations with ggplot2
• Utilising tools like Git, Linux, and RStudio
• Solving real-life challenges through case studies
• Implementing statistical modelling techniques
• Conducting inference in Data Analysis
• Collaborating effectively using Git
• Employing Linux commands for Data Science tasks

Learners can also opt to use the “Audit Track”, which is available free of charge. This might make one feel it might be a free Data Science online course with a certificate. However, graded assignments and certificates are not available in this variant.

Data Science Bootcamp Course by Pickl.AI

Experience Pickl.AI’s Data Science Bootcamp, designed for aspiring professionals seeking expertise in programming tools, industry projects, and essential soft skills. This comprehensive online program offers self-paced learning, live guidance sessions, and dedicated career support, catering to students and working professionals aiming to excel in Data Science.

Skills acquired:

• Master programming tools and libraries
• Execute industry projects
• Receive 1:1 project reviews
• Participate in weekly live sessions with industry mentors
• Develop career-essential soft skills
• Cultivate a data-driven mindset
• Excel in Python programming
• Apply statistical concepts effectively
• Implement supervised and unsupervised learning techniques
• Utilise Business Intelligence tools like Tableau and Power BI

You will also get the opportunity to work on a month-long live project and an internship certificate from Pickl.ai’s parent company, TransOrg Analytics.

Professional Certificate in Data Science course by IBM

The Professional Certificate in Data Science by IBM on edX offers a comprehensive learning path through ten courses led by IBM Data Scientists. It covers fundamental to advanced topics in Python programming, SQL querying, data cleaning, Machine Learning, and data visualisation techniques, equipping learners with essential skills for data-driven roles.

Skills acquired:

• Mastering basic Python programming in Jupyter Notebook
• Executing SQL queries and grasping relational database concepts
• Importing, cleaning, and analysing datasets
• Constructing and evaluating Data Science models
• Utilising data visualisation tools and techniques in Python
• Applying supervised and unsupervised Machine Learning algorithms effectively
• Collaborating in data-driven projects
• Interpreting and presenting analytical results
• Implementing best practices in Data Science workflows
• Navigating real-world data challenges with confidence.

You can also check our blog: How to Become a Data Analyst with No Experience.

Data Science with Python Certification Training Course by Simplilearn 

SimpliLearn’s Data Science with Python Certification Training equips learners with Python proficiency for Data Science, covering key data lifecycle stages such as feature engineering, exploratory Data Analysis, and wrangling. Participants gain expertise in statistics, utilise Python libraries (NumPy, Matplotlib, Pandas), and complete real-world projects from significant datasets like Amazon and Walmart.

Skills acquired:

• Mastering Python for Data Science applications
• Performing feature engineering and exploratory Data Analysis
• Conducting data wrangling and feature selection
• Strengthening statistical and mathematical foundations
• Utilising Python libraries: NumPy, Matplotlib, Pandas, SciPy, BeautifulSoup
• Executing industry projects sourced from Amazon, Walmart, Comcast, etc
• Interactively using Jupyter Notebooks
• Developing problem-solving skills in data-driven scenarios
• Applying Data Science methodologies to real-world datasets
• Enhancing career prospects as a competent Data Scientist

Top Data Science Colleges in 2024

Knowing about top Data Science colleges in 2024 is crucial for aspiring Data Scientists to make informed educational choices. These institutions offer cutting-edge curricula, industry connections, and opportunities for hands-on experience, ensuring students receive quality education and enhance their career prospects in the competitive field of Data Science. 

Top Data Science Colleges in 2024 that provide Data Science certification courses with their NIRF Ranking are as follows: 

Frequently Asked Questions

What is Data Science, and why is it important?

Data Science applies statistical and Machine Learning techniques to extract insights from data, crucial for improving decision-making in industries like healthcare and finance. Its importance lies in optimising operations, enhancing customer experiences, and predicting market trends, driving business innovation and growth.

What skills do Data Science courses in India offer?

Courses cover essential skills such as Python and R programming for data manipulation and analysis, Machine Learning algorithms for predictive modelling, and data visualisation tools like Tableau. These skills are vital for interpreting complex data sets and deriving actionable insights across various sectors.

How do Data Science certifications benefit career growth?

Certifications validate Data Analysis and Machine Learning expertise, boosting employability in competitive job markets. They offer flexible online learning options, allowing professionals to acquire in-demand skills while balancing work commitments and enhancing career prospects in data-driven industries.

Closing Words

The above-discussed are some of the best Data Science courses in India that students can consider. Choose any of the courses you find to be the best for yourself. Looking at the cost – both in terms of money and time – effectiveness and features like placement assistance, and active guidance, we would prefer Pickl.AI.

As demand for data-driven insights grows across sectors, investing in a reputable Data Science certification can significantly enhance career prospects. Whether pursuing advanced analytics or entering the field anew, these courses offer structured paths to mastery, promising knowledge and the practical skills needed to thrive in today’s data-centric world.