Data Science Course Syllabus: Fees, Duration, Eligibility

 Data science is playing a pivotal role in today’s business cycle. To excel and maintain a competitive edge, data science empowers businesses to make informed, strategic choices. Company hires a team of trained and well efficient professional’s to get their strategic choices fulfilled and aim achievable. From this blog, Candidates will carry adequate information about what is data science and why it should be pursued. It offers a detailed walk through data science course syllabus and eligibility criteria. It discusses about duration, fee, type of jobs associated with this programme, salary packages and many more.

 What is Data Science?

Data Science is formed out of the integration of the knowledge of subjects like statistics, logic, economics, and programming. Data science extracts varied data in order to draw meaningful insights from it. With that, it analyses and theorises the ways of collecting data and creating a framework to store it.

Once you get to know what data science is , the next step will be towards knowing about the Data Science Course syllabus.

Data Science Course Syllabus-

With the availability of many software and specialised systems, the work of a data scientist has become quite easy. The data science course syllabus varies from institute to institute and program to program. For good analysis, this tabulation is the answer.

Different Data Science Courses Syllabus

1. Power BI Course

• Business intelligence concepts,
• Microsoft Power BI introduction, 
• Connecting Power BI with different data sources, 
• Data modelling in Power BI, 
• Power query for data transformation, 
• Reports in Power BI, 
• Reports and visualisations types in Power BI, 
• dashboard in Power BI, 
• Data refresh in Power BI.

2. Tableau  course

• Introduction to data visualisation and the power of Tableau.
• Architecture of Tableau.
• Working with Metadata and data blending, forming sets, and working with filters.
• Organising data and visual analytics.
• Working with mapping preview, working with calculations and expressions, working with parameters preview, charts and graphs, dashboard preparation, and Tableau preparation.

3. PG diploma in data science

• SQL
• Power BI, Python programming and R programming.  
• Data types and data processing, statistics, EDA, and mathematical foundation.
• clustering, dimension reduction, Association rules, recommendation engine.
• Text mining and Naïve Bayes, KNN, decision trees, ensemble technique, credible interval.
• Hypothesis testing, regression technique, support vector machine,  survival analytics,  forecasting, ANN, CNN, RNN. 

Different Data Science Courses Duration and Course Fee

Course	Duration	Fee
Power BI course	24 hours of instructor-led – led sessions + 192 hours of self-paced learning.	Rs15000
Tableau  course	32 Hours of Instructor-Led Sessions. + 192 Hours of Self-Paced Learning.	Rs15000
PG diploma in data science	32 Hours of Instructor-Led Sessions. + 288 Hours of Self-Paced Learning.	₹86000- ₹ 175000

The Eligibility Criteria for Data Science Courses –

Course	Eligibility criteria-
Power BI course	A graduation in any of these backgrounds with a basic idea about Power BI.
Tableau course	Graduation in any of these backgrounds with a basic idea about Power BI.
PG diploma in Data science	Candidates with bachelor’s in computer applications, Economics, statistics, technology and commerce.

Career scope in data science in India–

The career scope for data science in India is going up very quickly. The increasing adoption of data-driven decision-making it more. This decision making works across industries like IT, finance, healthcare, e-commerce, and manufacturing.

Professionals skilled in data analysis, machine learning, and AI are in high demand. The squad of data scientists, data analysts, and AI engineers are offering strong growth opportunities. Companies, from start-ups to multinationals, are investing heavily in data science to gain competitive advantages, ensuring a robust job market. With the rise of digital transformation and supportive government initiatives, data science professionals can expect rewarding careers. And upgrading in tools and technologies like Python, R, and big data frameworks is loading them with diverse opportunities.

India, with tech hubs like Bangalore and Gurugram, thrives and survives on its vibrant start-ups, global companies, and affordable education. India provides candidates a little less challenging market to grow. And countries like the U.S.A. and Japan face strong competition and steep expenditure. Elevating your skills by joining any such program of data science will be a good idea.

Significance of pursuing data science-   

Data Science has opened an exciting path for many candidates. Any subject expert candidates with good knowledge of logic , basic maths and statistics are fit for this field. As there is a strong need for data scientists, various sectors employ them to use their expertise in real-time business contexts. The tabulation of aspects and descriptions helps the candidates to know more about the significance of pursuing data science.

Aspect	Description
Huge Demand  High salary	Jobs of data science are expected to grow by 36% by 2031, much faster than most careers, offering abundant opportunities in fields like tech, finance, healthcare, and beyond.  Data scientists draw hefty salary as compared to many professions; in future it will grow higher.
Multiple Career Paths	Skills in data science opens door to profiles like data analyst, machine learning engineer, or chief data officer, with opportunities in almost every industry.
Optimistic impact	Data science helps solve real-world problems, from growing businesses to supporting humanitarian efforts, so it leaves an optimistic impact.
Constant Learning and development	The field is every time emerging with something new to try and do, so it has plethora of options where we can prowl a lot.

Data scientists’ packages Sector-wise-

Data Scientists	Packages	Sector wise
Mid-level	Rs 5 lacs – Rs 8 lacs	IT, Finance, Healthcare and E- E-commerce.
Senior-level	Rs 20 lacs – Rs 40 lacs	IT, Finance, Healthcare and E- E-commerce.
Rs 8 lacs – Rs 20 lacs	IT, Finance, Healthcare and E- E-commerce.	IT, Finance, Healthcare and E- commerce.

                                                                                                                                                      
Top Data Science Recruiters in India (2025)

Sector	Top Recruiters	Key Roles & Salary Range ( entry to senior level ₹ LPA)
IT	TCS, Infosys, Wipro, etc	Patient’s diagnostics and analytics role with a salary range from Rs 10 lacs to Rs 35 lacs.
Healthcare	Optum, Apollo Hospitals, Philips Healthcare, NIRMAI	Patient’s diagnostics and analytics role with a salary range from Rs 10 lacs to Rs35 lacs.
E-commerce	Amazon, Flipkart, Myntra/Zomato	AL/ML consulting roles with a salary range from Rs 8lac- Rs 20 lac.
Finance	JPMorgan Chase, Paytm, HDFC/ICICI Bank	Logistics and recommendation system roles with package from Rs 15 lacs to 45lacs.

Upskill your career with Henry Harvin’s Data Science course-

Henry Harvin is a great platform to uplift your career as data scientist/ analyst. It has multiple programs curated for meeting the current needs of data science job profile. Start your journey with Power BI, the perfect combination of theoretical learning, hands-on practical training, and strong job placement support to launch your career with confidence. It includes 24 hours of instructor-led sessions, 36 guided hands-on exercises, 192 hours of cloud lab practice. Learn Tableau through 32 hours of guided instruction, 48 practical exercises, and over 8 industry-relevant case studies.

Difference between Power BI and Tableau-

Power BI course teaches about basic tools and techniques, to work on the foundational principles of data science.

Tableau teaches about quite advanced tools and techniques to deal with more complex and massive sets of data.

Highlight on PG program-

PG program in data science is a great pick for more comprehensive and deep learning. It has 192 Hours of Instructor-Led Sessions,32 Hours of Live Master Sessions, 288 Hours of hands-on with Cloud Lab and covers all important elements of data science thoroughly.

Conclusion-

The data science course syllabus highlights a highlight on scope of data science and the employment opportunities. It provides a wide scope for someone to showcase their innovative ideas in this volatile business world. And it eases out on some of the lengthy processes of business executions or operations. Apart from that, it fosters creativity in sectors like predictive analytics, machine learning, and big data management. The instances from retail, finance, and healthcare, the data science powers personalised recommendation systems to boost customer engagement and sales. It increases the possibility of fraud detection and risk management. It is revolutionising data-driven diagnostics and patient outcome predictions.

FAQ’s –