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B.Tech Data Science Course Highlights
| Full-Form |
Bachelor of Technology in Data Science |
| Course Level |
Undergraduate Degree |
| Duration |
4 years |
| Eligibility |
70% aggregate in 10+2 standard with PCM and Maths as a mandatory subject with 50% score |
| Admission Process |
Entrance Exam/Merit Based |
| Course Fee |
Ranges from INR 2-3 Lakhs |
| Average Salary |
Up to 10 Lakhs per annum |
| Job Positions |
Data Architects, Financial Modeler, Data Engineers, Clinical and Pharmaceutical Data Analyst, Database Administrators and positions alike |
| Top Recruiting Companies |
Amazon, Capgemini, Wipro, Infosys, TCS, IBM, HCL, Quick Heal, SYNTEL and others |
About Data Science
Data Science is a multidisciplinary domain that includes working with huge amounts of data, developing algorithms, working with machine learning, and more to come up with business insights. You will work with huge amounts of data. You will clean the data, prepare it, convert it into a format through which you can derive valuable insights for the purpose of decision making.
Data Science Course Eligibility
- Applicants should have 60% or above in Xth, XIIth, and Bachelor's degrees.
- The program is open for candidates in their final semester and recent graduates with 0-3 years of experience.
- PGP-DSE is ideal for candidates with graduation in a quantitative discipline like engineering, mathematics, commerce, sciences, statistics, economics, etc.
- For bits-Pilani Employed professionals holding B.E. / B.Tech. / MCA / M.Sc. or equivalent with at least 60% aggregate marks or more in their qualifying exam, and a minimum of one-year relevant work experience are eligible to apply.
B.Tech Data Science Syllabus
BTech Data Science syllabus comprises 8 terms or semesters including subjects related to computer technology and data science. The course also involves elective subjects too. Few of those subjects are listed below:
- Discrete Structures
- Mechanical Workshop
- Engineering Physics
- Theory of Computation
- Data Warehouse
- Applied Statistical Analysis
- Compiler Design
- Business Intelligence
- Big Data Analytics
- Engineering Chemistry and rest subjects
Data Science course Fee Details
The fee structure ranges between INR 3 lakhs
Data Science Course Salary
- As per analytics salary studies, average salaries for fresher roles in analytics (0-3 years) in India vary between 4-8 lacs.
What is an algorithm in data science?
What is data?
Databases You Use
Pretty much every website you interact with
- Social Media
- Banking
- File Sharing
- Search Engines
- Online Shopping
- Course Registration/Canvas
- Travel
- etc.
You broadcast/generate data everywhere you go
- Cell phones
- Purchases
- Driving (GPS)
- Streaming music
- Email
- Posting status updates
- Attending events
Why need the data Science
- Every minute we send 204,000,000 emails, generate 1,800,000 Facebook likes, send 278,000 Tweets, and up-load 200,000 photos to Facebook
- Around 100 hours of video are uploaded to YouTube every minute
- AT&T is thought to hold the world’s largest volume of data in one unique database – its phone records database is 312 terabytes in size, and contains almost 2 trillion rows.
The market Demand of data science
- The Economic Times: India’s demand for data scientists grows over 400%
- Forbes: IBM Predicts Demand For Data Scientists Will Soar 28% By 2020
- Entrepreneur: Nasscom report states that India needs over 2 lacs data scientists
- Fortune: 'Sexiest Job' Ignites Talent Wars as Demand for Data Scientists Soars
Would You Make a Good Data Scientist?
To find out, ask yourself: Do you . . .
Data Scientist = Programmer + Computer Scientist + Mathematician + Storyteller + Domain Expert
- hold a degree in mathematics, statistics, computer science, management information systems, or marketing?
- have substantial work experience in any of these areas?
- have an interest in data collection and analysis?
- enjoy individualized work and problem-solving?
- communicate well both verbally and visually?
- want to broaden your skills and take on new challenges?
What skills are needed to be a data scientist?
- Python Coding
- R Programming
- Hadoop Platform
- SQL Database/Coding
- Apache Spark
- Machine Learning and AI
- Data Visualization
- Unstructured data
- Intellectual curiosity
- Business acumen
- Communication skills
- Teamwork
What exactly is a data scientist? What exactly is a data scientist?
Data scientist
A data scientist is one who works with huge amounts of data to come up with compelling business insights through the deployment of various tools, techniques, methodologies, algorithms, and so on.
Some other names for “Data Scientist”
- Statistician
- Data Mining Specialist
- Biostatistician
- Social Science Researcher
- Big Data Analyst
- Spatial/GIS Analyst
- Natural Language Programmer
- Computational Physicist
- Some other names for “Data Scientist”
- Pythonista
- Financial Analyst
- Recommendation System Engineer
- Information Architect
- Artificial Intelligence Researcher
- Neuroscientist
- Data Visualization Designer
What Do Data Scientists Do?
in simple terms, a data scientist’s job is to analyze data for actionable insights.
Specific tasks include:
- Identifying the data-analytics problems that offer the greatest opportunities to the organization
- Determining the correct data sets and variables
- Collecting large sets of structured and unstructured data from disparate sources
- Cleaning and validating the data to ensure accuracy, completeness, and uniformity
- Devising and applying models and algorithms to mine the stores of big data
- Analyzing the data to identify patterns and trends
- Design and build new data set processes for modeling, data mining, and production purposes.
- Determine new ways to improve data and search quality, and predictive capabilities.
- Perform and interpret data studies and product experiments concerning new data sources or new uses for existing data sources.
- Develop prototypes, proof of concepts, algorithms, predictive models, and custom analysis.
- Interpreting the data to discover solutions and opportunities
- Communicating findings to stakeholders using visualization and other means
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Data Science jobs
Data Science jobs pay an average of 15 to 25 Lakh per year.
It is estimated that by 2018, India could have a shortage of 140,000+ people with advanced analytical skills & need 1.5M managers/analysts that can make decisions based on data analysis
1.Data analyst
A data analyst is entrusted with the responsibility of mining huge amounts of data, looking for patterns, relationships, trends and so and coming up with compelling visualization and reporting for analyzing the data to make business decisions
2. Data engineer
The data engineer is entrusted with the responsibility of working with large amounts of data. He should be available to clear data cleansing, data extraction, and data preparation for data business for working with large amounts of data.
3. Machine learning expert
The machine learning expert is the one who is working with the various machine learning algorithms like regression, clustering, classification, decision tree, random forest, and so on.
4. Data scientist
A data scientist is one who works with huge amounts of data to come up with compelling business insights through the deployment of various tools, techniques, methodologies, algorithms, and so on.
Applications of data science
Some of the major applications of data science are as below:
- Internet search
- Personalized recommender systems
- Image recognition
- Fraud detection
- Optimization techniques
- Stock market analysis
- Pathological diagnosis
Comparison of Data Science with Data Analytics
| Criteria |
Data Science |
Data Analytics |
| Various skills required |
Data capturing, statistics, mathematics, problem-solving |
Analytical, mathematical, statistical |
| Need to be experts in |
Data mining |
Data visualization |
| Type of data used |
All types of data |
Structured & mostly numeric data |
| Standard lifecycle |
Explore, discover, investigate & visualize |
The report, predict, prescribe & optimize |
Master Certification Course in Data Science
- Data Science Certification Training - R Programming
- Data Science with SAS Training
- Data Science with Python
- Machine Learning
- Big Data Hadoop and Spark Developer
- Tableau Desktop 10 Qualified Associate Training
- Data Science Capstone
Tools for Data Scientist
Advanced Analytics Tools
Flume, NumPy, Pandas, Scipy, Spark
Top Recruitment Companies
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Data Science Course | B.tech in data science | eligibility, Course Fee, Salary |
