Interested in exploring the exciting world of data science? You’re in the right place! A data science course is like a key to a world filled with data wonders, where you can unlock the secrets hidden in heaps of information. It’s your chance to learn how to work with numbers, make sense of data, and turn it into valuable insights.
Think about it like this: you won’t be predicting lottery numbers, but you’ll be able to forecast trends, which is pretty awesome! Data science course has something for everyone, whether you’re a tech enthusiast, just curious, or want to boost your career opportunities.
In data science course, you’ll start with the basics, like understanding what data actually is. Then, you’ll dive into more detailed topics like programming languages, statistics, and machine learning. Don’t worry, we won’t overwhelm you with complicated terms. We’ll keep it simple and enjoyable, so you can grasp the concepts without feeling like you’re stuck in a dull lecture.
By the end of this blog, you’ll have the skills to analyze data, create predictive models, and effectively share your discoveries. Plus, you’ll become part of the growing community of data enthusiasts who are making a difference, one dataset at a time. If you’re ready for this data adventure, let’s get started on your data science course!
Topics covered
What is a Data Science Course?
A data science course is like a learning program that shows people how to deal with data in a smart way. It’s like a step-by-step guide into the world of data, where you figure out how to gather, study, and understand data to make good choices.
The main goal of a data science course is to teach you how to work with data in different areas like business, health, or technology. It’s handy if you want a new job or want to get better at your current one in a world where data is super important.
We hope now you have had an introduction to the data science courses in India. Let’s now try to analyse what basically a data scientist does.
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Who is a Data Scientist?
A data scientist is like a data detective. They take messy data and turn it into useful information. They do this by using computer programs to dig through the data, finding patterns, and making predictions. They also know how to make pretty charts and reports to explain their findings.
Data scientists are good at using special tools like SPSS, SAS, and SQL. They work in different jobs, helping companies figure out important stuff and solve problems. They need to learn a lot and have experience to do their job well. In a world where data is super important, data scientists are like the superheroes who make sense of it all.
List of Best Data Science Courses Online for 2023
Are you interested in becoming a data scientist? If so, it’s a good idea to consider taking some of the best data science courses available. These courses can help you gain valuable skills and open up opportunities for career growth in the field of data science.
In this section, we’ve listed some of the top data science courses and programs for you to explore. By enrolling in these courses, you can improve your abilities and increase your chances of securing one of the best data science jobs in 2023. Keep reading to find out more!
| Name of the Course | Course Offering Institution |
| Full-Stack Data Science Course | Almabetter |
| Python for Data Science and Machine Learning | Udemy |
| Data Science Certification Masters Program | Edureka |
| IBM Professional Data Science Course | Coursera |
| Data Science and Machine Learning Program | Scaler |
These are some of the best data science courses online for 2023. Let’s have a look at each one of them in detail. This will enable you to find the best-suited course for yourself.
Full-Stack Data Science Course
AlmaBetter, a popular tech community in India, helps young folks become data scientists in just 30 weeks. They began with the goal of providing safe education and assisted more than 1300 students in landing well-paying data science jobs last year. If you’re a college senior or graduate willing to work within 3 months, you can join their program, regardless of your technical background.
| Eligibility | Students in their last year of college or those who have recently graduated, as well as people already working, and who are prepared to start a job in three months. |
| Curriculum and Tools Covered | Python for Data Science, Analytics Frameworks, Math for Data Science, Machine Learning, Deep Learning, ML and Data Engineering |
Also, read: Data Analytics Course
Python for Data Science and Machine Learning
In this course, you’ll master using Python for Data Science and Machine Learning. It’s designed for people who already know the basics and don’t need to go over them again. The instructor will guide you using Jupyter Notebook exercises to make sure you really understand the material.
| Eligibility | You need to have some background in programming, and you should be able to download files with administrative permissions. |
| Curriculum and Tools Covered | Python Crash Course Numpy and Pandas – Python libraries for Data Analysis Matplotlib, Seaborn, Plotly, Cufflinks, and Geographic plotting – used for data visualization Regression, KNN, Trees and Forests, SVM, K-Means Clustering, PCA – used Machine Learning Natural Language Processing Big Data and Spark Neural Nets and Deep Learning |
Data Science Certification Masters Program
The Data Science Masters Program helps you become skilled in the tools and software used by data scientists. It covers Python, Tensorflow, Apache Spark & Scala, Statistics, Data Science, and Tableau. This program was created by studying over 5000 job descriptions worldwide.
| Eligibility | N/A |
| Curriculum and Tools Covered | Python Statistics for Data Science Course R Statistics for Data Science Course Data Science with R Programming Certification Training Data Science with Python Certification Course Apache Spark and Scala Certification Training Course Deep Learning Course with TensorFlow Certification Tableau Certification Training Course |
IBM Professional Data Science Course
The IBM Data Science Professional Certificate teaches people the fundamentals of data science and equips them with the skills to handle data. It helps individuals become proficient in the tools, programming languages, and software used by professional data scientists.
| Eligibility | Anyone is eligible |
| Curriculum and Tools Covered | Data Science Tools and Methods to solve real-world business problems SQL and Analysis for Python to show you how to use it as part of your data science work. Visualization in Python to create meaningful visualizations and graphical representations. Machine Learning with Python for uncovering hidden insights and predicting future trends. Capstone Project to showcase your Data Science skills and give yourself a competitive edge. |
Data Science and Machine Learning Program
Scaler – InterviewBit offers a personalized Data Science and Machine Learning program. It’s created with advice from experts at leading tech companies and is highly popular online. In this program, you can work on real projects and receive feedback from experienced professionals right away.
| Eligibility | A fundamental understanding of math from the 9th and 10th class |
| Curriculum and Tools Covered | Basics of programming (binary, loops, number systems, etc.) Intermediate programming topics (arrays, OOPS, sorting, recursion, etc.) ML Engineering (NLP, Reinforcement Learning, TensorFlow, Keras, etc.) Advanced programming topics (Deep learning, DB and System design, Predictive modeling, Hashing, Greedy, etc.). |
Top Data Science Courses List
Well, you have already seen the list of the best data science courses online for 2023. This section is for you if you are a beginner, a postgraduate student, or a working professional. Let’s begin one by one.
Data Science Courses for Beginners
It is very important to choose the right course when you are just a beginner. Choosing the right course will help you build the best fundamentals. Here are some popular data science courses for beginners in India:
- Simplilearn – Data Science Course: Simplilearn’s beginner-level course covers data science fundamentals, including Python, statistics, and machine learning. It’s a good choice for those new to the field.
- Great Learning – Data Science Course: This program is designed for beginners and covers data science concepts, Python programming, and machine learning. It includes hands-on projects and case studies.
- DataCamp – Introduction to Data Science: DataCamp offers short beginner courses in data science, making it a flexible choice for those starting out.
- Jigsaw Academy – Data Science for Beginners: This program is specifically designed for beginners and covers Python, statistics, and data visualization.
Remember to review the course content, syllabus, and reviews to choose the one that best suits your needs and learning preferences. Moreover, consider your budget, as some courses are free, while others may require a fee.
Data Science Post Graduate Certificate Courses
Are you looking to advance your career in the field of Data Science and Machine Learning? Consider enrolling in our comprehensive Data Science Post Graduate Certificate Courses. These courses are designed to provide you with the essential knowledge and skills required to excel in the world of data science. Let’s take a closer look at what each course has to offer:
- Linear Algebra Basics: This course takes you on a journey through the fundamental concepts of linear algebra. You’ll learn how to visualize different linear transformations, a crucial skill in understanding data.
- Foundations of Data Analytics: In this course, you’ll immerse yourself in the world of data analysis. You’ll acquire statistical techniques vital for effective data analysis and develop a statistical thinking mindset.
- Programming for AI & Data Analytics: This course equips you with programming skills essential for data science. You’ll master common Python and R functionality for coding. You’ll also learn how to use Pandas and R to manipulate and explore data.
- Machine Learning Techniques for AI & Data Analytics: Delve deep into the realm of machine learning in this course. You’ll gain a comprehensive understanding of machine learning concepts and the lifecycle of a machine learning project.
- Selected projects from Kaggle: This course offers a unique opportunity to engage in industry-style machine learning projects. You’ll work collaboratively in a team environment, gaining valuable experience akin to working in the data science field.
These Data Science Post Graduate Certificate Courses by Coursera provide a well-structured educational path, starting from the foundational concepts of linear algebra and statistics and progressing to hands-on machine learning projects.
Data Science Courses for Working Professional
Working professionals need a different course that aligns with their skills, accessibility, and experience. Here is a list of some of the best data science courses for working professionals:
- Become a Data Scientist – Udacity offers an advanced-level Nano-Degree program in data science. This comprehensive course covers Python programming, software engineering, and data engineering, equipping you with the skills to solve complex data science problems.
- MicroMasters Program in Data Science – The MicroMasters program by UCSanDiego offers a comprehensive data science education. It covers both mathematical and applied aspects, including Python, probability, statistics, machine learning, and big data analytics.
- Python for Data Science and Machine Learning Bootcamp – This Udemy course is an excellent choice for Python enthusiasts. It covers Python programming, data visualization, and machine learning, including popular libraries like NumPy, Pandas, and scikit-learn.
- Data Scientist Masters Program – Edureka’s comprehensive program covers various aspects of data science, including statistics, Python, Apache Spark, TensorFlow, Tableau, and more. It caters to both beginners and experienced professionals.
- Advanced Statistics for Data Science Specialization –Offered by Johns Hopkins University, this specialization delves into advanced statistics, regression models, and linear algebra. It provides a deeper understanding of statistical concepts.
- Practical Statistics –This course emphasizes practical statistics for addressing real-world challenges, including A/B tests and regression modeling. It offers hands-on projects to reinforce learning.
Each of these courses offers unique benefits and caters to different skill levels and preferences, making it easier for working professionals to choose the one that aligns with their goals and prior knowledge.
Top Data Science Courses by Top Universities and Institutes in India
Many students want to pursue a physical course and not an online one. So, for such students across the country, we have curated out the list of the top data science courses by top universities and institutes in India. A table below shows the course name, colleges offering the course, and the average course fees for such courses.
| Courses Name | Offered By | Average Course Fees |
| MSc Data Science | Loyola College, Chennai | INR 86,250 per year |
| MSc Data Science | Madras Christian College | N/A |
| MSc Data Science | Fergusson College, Pune | N/A |
| BSc Data Science | Christ University, Bangalore | INR 4.90 Lakh |
| MSc Data Science | Christ University, Bangalore | NA |
| BSc Data Science | Kristu Jayanti College, Bangalore | INR 2.85 Lakh |
| MSc Data Science | Kristu Jayanti College, Bangalore | INR 2 Lakh |
Well, this is not the only list, there are many colleges and course combinations. We have only curated out the best ones for you. For more information, students are requested to visit the official website of the colleges.
Data Science Course Duration
The different academic level courses have different durations. Certificates and other courses have different durations whereas degree courses have different durations. In general, if we talk about the undergraduate courses, they generally have a span of 3-4 years while the postgraduate courses generally have a span of 1-2 years.
Data Science Course Syllabus
In this section, we will be discussing the syllabus for the Data Science courses in India. Please note that this is just a general syllabus, taken into consideration for your reference. The syllabus might vary from college to college.
Data Science Course Syllabus for UG Students
The undergraduate students will have a general syllabus consisting of some of the important topics and subjects:
| Semester 1 | Semester 2 |
| Professional English | Communicative English |
| Discrete Mathematics | Differential Calculus |
| Descriptive Statistics and Probability | Random Variables and Probability Distributions |
| Digital Computer Fundamentals | Operating System |
| Principles of Data Science | Data Structures |
| Python Programming | Data Structures Lab |
| Descriptive Statistics Using Excel Lab | R Programming and Statistical Modelling Lab (No ESE) |
| Python Lab | Holistic Education |
| Holistic Education | Environmental Studies |
| Semester 3 | Semester 4 |
| Linear Algebra | Optimization Techniques |
| Statistical Inference | Applied Regression |
| Introduction to Machine Learning and Artificial Intelligence | Database Management Systems |
| Object Oriented Programming Using Java | Data Analytics and Visualization |
| Statistical Inference Lab | Database Management Systems Lab (DBMS) |
| Machine Learning and AI Lab | Data Analytics and Visualization Lab |
| Java Programming Lab | Web Technology Lab (NO ESE) |
| Entrepreneurial Development | Personality Development – I |
| Holistic Education | Holistic Education |
| Semester 5 | Semester 6 |
| Artificial Neural Networks and Deep learning | Cloud Analytics |
| Big data Programming using Hadoop and Spark | Software Engineering and Testing |
| German | Machine Learning Techniques |
| French | Data Warehousing and Mining |
| IOT | Information Security |
| Cyber Security | Major Project |
| UI/UX Design | Indian Constitution Law |
| Simulation and Modelling | |
| Digital Image Processing | |
| Computer Networks and WSN | |
| Time Series and Forecasting | |
| Operations Research | |
| Stochastic Process | |
| Multivariate Analysis | |
| Artificial Neural Networks and Deep Learning Lab | |
| Big Data Programming with Hadoop and Spark Lab | |
| Summer Internship | |
| Personality Development- II |
Data Science Course Syllabus for PG Students
The postgraduate students will have a general syllabus consisting of some of the important topics and subjects:
| 1st Year Syllabus | 2nd Year Syllabus |
| Principles of Data Science | Data driven Modelling and Visualization |
| Probability and Distribution Theory | RESEARCH PROBLEM identification |
| Mathematical Foundation for Data Science | Neural Networks and Deep Learning |
| Design and Analysis of Algorithms | Time Series and Forecasting Techniques |
| Mathematics | Web Analytics |
| Research Methodologies | IoT Analytics |
| Database Technologies | Natural Language Processing |
| Inferential Statistics using R | Image and Video Analytics |
| Full Stack Web development | Big Data Analytics |
| Regression Modelling | Econometrics |
| Java Programming | Bayesian Inference |
| Machine Learning | Bio-statistics |
| Statistics (Concept-based) | Evolutionary Algorithms |
| Multivariate Analysis | Quantum Machine Learning |
| Stochastic Processes | Reinforcement Learning |
| Cloud Services | Geospatial Data Analytics |
| Bio-Informatics | |
| Graph Analytics | |
| Industry Projects | |
| Research Publications |
Data Science Course Placements
Thinking about pursuing a Data Science course in India? Wondering about the placement scene? Well, let’s break it down in plain and simple terms.
Data Science courses in India have been on the rise, and so are the job opportunities. The good news is, that the placement scene for Data Science enthusiasts is pretty promising. Companies across various sectors, from tech giants to startups, are on the lookout for skilled data wizards.
As you dive into your Data Science journey, remember that landing a great job often depends on more than just your grades. Practical experience, internships, and personal projects can make all the difference.
Data Science Course Prominent Recruiters
In India, the field of Data Science has seen rapid growth, and several prominent recruiters are actively seeking data science professionals. Here are some of the notable companies and sectors that frequently hire data scientists:
- IT Giants: Technology companies like Tata Consultancy Services (TCS), Infosys, and Wipro are among the top recruiters for data science roles.
- Multinational Corporations: Global giants like IBM, Accenture, Deloitte, and Capgemini have a significant presence in India and hire data scientists for their analytics and consulting services.
- E-commerce: Companies like Amazon, Flipkart, and Paytm heavily rely on data analytics to optimize user experiences, enhance product recommendations, and improve supply chain management.
- Finance and Banking: Leading banks such as HDFC Bank, ICICI Bank, and Axis Bank, as well as financial institutions like HDFC Life, hire data scientists for risk assessment, fraud detection, and customer analytics.
- Healthcare: Healthcare organizations like Apollo Hospitals and Manipal Hospitals use data science for patient care, drug discovery, and healthcare management.
- Consulting Firms: Management consulting firms like McKinsey & Company, Boston Consulting Group (BCG), and Ernst & Young (EY) often hire data scientists to provide data-driven insights to their clients.
- Research and Development: Research organizations like the Indian Space Research Organisation (ISRO) and the Council of Scientific and Industrial Research (CSIR) utilize data science for various scientific research projects.
- Government: Government agencies, including the NITI Aayog and Election Commission of India, hire data scientists for policy analysis, data-driven decision-making, and election forecasting.
These are just a few examples of the diverse range of industries and companies that are actively recruiting data scientists in India.
Data Science Course Average Salary in India
The average salary for Data Scientists in India stands at ₹933,252 per year, with a median salary of ₹933,000, according to the latest data as of September 27, 2023. Entry-level Data Scientists, those with less than 1 year of experience, can expect to earn an average total compensation of ₹590,840, while early-career Data Scientists with 1-4 years of experience earn an average of ₹879,435.
Mid-career professionals see a significant boost in their earnings, with an increase of about 63%, and late-career Data Scientists experience a whopping 117% increase. Experienced Data Scientists enjoy a 45% jump in compensation. These statistics indicate that Data Science is a rewarding field in India, with substantial salary growth as professionals gain experience.
Time to Conclude
We hope we have provided you with most of the answers about the data science course. It is undoubtedly one of the most sought-after job roles in the industry today. Whether you’ve already planned a career in it or just starting to dip your toes in the thoughts of it, allow us to make it a bit easier for you.
Talk to an expert today to figure out more of what you must know before you begin your journey. At iDreamCareer with the help of our Career Counselling and Guidance Services and educational counsellors, we try to help many young confused minds from 9th class, 10th class, class 11, class 12 with an aim to select their suitable career choices.
Useful Links
- What do Data Scientists Do? – Harvard Business Review
- Data Analytics Courses in Canada
- Data Science Complete Guide
- A career in Statistics
- All you need to know about B Sc Computer Science
- Scope of Mathematics
- The bachelor of engineering degrees
- Computer Science vs. Information Technology
- About Computer Applications Masters (MCA)
- Choosing an alternative career plan
- How to Become a Big Data Engineer
FAQs
Data Science courses typically cover topics like statistics, machine learning, data analysis, and programming in languages like Python or R.
The best course for Data Science often depends on your background and goals. Popular options include online programs like Coursera’s Data Science Specialization, edX’s Data Science MicroMasters, and university degrees in Data Science.
Eligibility for Data Science courses varies but generally requires a bachelor’s degree in a related field like computer science, mathematics, or statistics. Some courses also accept individuals with non-technical backgrounds.
Data Science can be challenging due to its multidisciplinary nature, involving statistics, programming, and domain knowledge. However, with dedication and the right resources, it can be learned effectively.
Data Science does involve math, especially statistics and linear algebra. While a strong math background can be beneficial, there are tools and libraries available that simplify complex mathematical calculations, making it accessible to a wider range of learners.
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Sushant, an accomplished content writer at iDreamCareer, has dedicated his life to the pursuit of writing since childhood. Having earned his education at the prestigious University of Delhi, he possesses a profound understanding of both arts and science in the field of education. Leveraging his professional experience, Sushant brings a fresh perspective to analyzing emerging trends in the realms of writing and education. His youthful mindset, coupled with a positive outlook, is geared towards enlightening students through the impactful delivery of wisdom and knowledge.
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