Diploma in Data Science

Blended

Fee: ₹60,000

Dr. Priti Maheshwary | Professor Future Skills Academy

Get acquainted with the fundamental Python tools used for preparing the data for analysis and familiarize yourself with data science tools for processing the data, and using data science techniques to create meaningful insights and predictions.

Objectives

At the end of this course

Expand your knowledge of Data Manipulation and Data Analysis Tools, Python Statistics, Python Pandas,

Data Visualization- the key technologies in data science using Python essentials.

What Will You Learn

You will gain the ability to inculcate Python data science libraries to analyse data, create advanced codes for the same & creating visualization using Python.

Skills you will gain

Basic Python Tools

Numpy

Pandas

Data Visualization Techniques

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Curriculum

Paper 1/Introduction to Data Science
- Introduction to Data Science
- Real Life examples with applications
- Data Scientist Job Roles and Responsibilities
- The most promising Job of the 21st Century
- Data Science vs AI vs Machine Learning
- Live lecture
- Internal Assesment

Paper 2/Mathematical Foundation for Data Science
- Vectors
- Matrices
- Linear Mapping
- Basic Linear Algebra
- Eigen Values and Eigenvectors
- Calculus
- Live Lecture 2
- Internal Assessment

Paper 3/Story Telling With Data
- Storytelling Overview
- How to create stories ?
- Types of Data and Suitable Charts
- Stories During the steps of Predictive Modelling
- Best Practices of Story telling
- Git and Github
- Live Lecture
- Internal Assessment

Paper 4/Python Essentials
- Installation of Anaconda Navigator
- Jupyter Notebook Interface
- How to Open ,save and Rename a file
- Variables and Data Types
- Python Strings
- Loops
- Python Functions (Built in, Lambda, User defined functions)
- Lists
- Tuples
- Python Functions (Built in, Lambda, User defined functions)
- Sets
- Dictionaries
- Live Lecture
- Internal Assesment

Paper 5/Dictionaries
- Numpy Arrays in Python
- Three Dimensional Arrays Indexing and Slicing
- Matrices
- Pandas in Python
- Importing CSV,EXCEL Files
- Dictionaries
- Live Lecture
- Internal Assessment

Paper 6/Basic Statistics for Data Science
- Basic probability theory
- Random Variables
- Probability distributions
- Bayes Theorem
- Sampling
- Live Lecture

Instructor

Dr.Priti Maheshwary

Professor Future Skills Academy

IT, Computer Science

Presently working in Future Skill Academy. Involved in Computer Science and Engineering for over 20 years in higher education and training. Her career has included various software development projects, teaching, research and administrative roles. She enjoys teaching and looking into how to improve student learning experience. Published around 50 research papers in refereed journals and conferences, 7 book chapters, 6 Patents. 8 PhD thesis completed under her guidance in the field of Internet of Things, Smart Cities, Ubiquitous Computing, Wireless Sensor Network, VANET, Image Processing specialized in Satellite Images, AI/ML & Deep Learning, and Cyber Security. Also done more than 10 projects in the field of Research and Consultancy.

4.9 1045 1100 Learners

Dr. Pooja Bijlani

Trainer (Subject Expert) Future Skill Academy

AI ML, Data Science, Full Stack Web Development, Full Stack Java Development

Presently she is working as a IT Trainer (Subject Expert) at Future Skill Academy, AISECT, Bhopal. She is having over 15 years of academic and research experience. Expert in Programming Languages C, C++, Python, Java, React Spring Boot, Artificial Intelligence, Machine Learning and Data Science. Students accolades her programming language teaching skills. Having experience in number of End to End projects in Natural Language Processing, Computer Vision and Python Desktop Application GUI. Web Designing.

4.9 968 1087 Learners

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