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| Course Duration | Fees | Mode of Study | Course Level | Institute Type |
|---|---|---|---|---|
| 2 Years | Rs. 2.5 Lakhs | Full-time | Postgraduate | Private |
| Semester | Subjects | Topics |
|---|---|---|
| 1st Semester | Data Science Fundamentals | Introduction to Data Science, Data Analysis, Data Visualization, Machine Learning, Deep Learning, Natural Language Processing, Big Data Analytics, Data Warehousing and Business Intelligence |
| 2nd Semester | Data Science Applications | Data Mining, Text Mining, Image Processing, Predictive Analytics, Time Series Analysis, Recommender Systems, Cloud Computing, Internet of Things, Cyber Security |
| 3rd Semester | Data Science Tools and Techniques | R Programming, Python Programming, SQL, NoSQL, Apache Hadoop, Apache Spark, Apache Kafka, Apache Storm, Apache Flink, Apache Pig, Apache Hive |
| 4th Semester | Data Science Project | Project Planning, Project Design, Project Implementation, Project Evaluation, Project Presentation |
introduction to data science 2 data analysis and visualization 3 machine learning 4 big data and cloud computing 5 data mining 6 natural language processing 7 business intelligence 8 predictive analytics 9 data warehousing 10, 1 introduction to data science 2 data analysis and visualization 3 machine learning 4 big data and cloud computing 5 data mining 6 natural language processing 7 business intelligence 8 predictive analytics 9 data warehousing 10 data security and privacy 11 statistical analysis 12, introduction to data science 2 data analysis and visualization 3 machine learning 4 big data and cloud computing 5 data mining 6 natural language processing 7 business intelligence 8 predictive analytics 9 data warehousing 10 data security and privacy 11 statistical analysis 12 data modeling
