Course Description
Kickstart your learning of Python with this beginner-friendly self-paced course taught by an expert. Python is one of the most popular languages in the programming and data science world and demand for individuals who have the ability to apply Python has never been higher. This introduction to Python course will take you from zero to programming in Python in a matter of hours—no prior programming experience necessary! You will learn about Python basics and the different data types. You will familiarize yourself with Python Data structures like List and Tuples, as well as logic concepts like conditions and branching. You will use Python libraries such as Pandas, Numpy & Beautiful Soup. This course is suitable for anyone who wants to learn Data Science, Data Analytics, Software Development, Data Engineering, AI, and DevOps as well as a number of other job roles.
What you’ll learn?
- The course provides the entire toolbox you need to become a data scientist
- After completion of this course, you'll be able to find answers within large datasets by using python tools with a mastery of skills including statistics, data wrangling, data visualization, feature selection and more.
- Through hands-on exercises, you’ll learn about the different foundational topics of machine
- learning, and how data scientists extract knowledge and insights from real-world data.
Who This Course is for
- It is a solid career choice for both new and experienced professionals.
- College undergraduates who are preparing for upcoming placements
- IT professionals who want to switch careers to Data Scientist roles
- Recent graduates who are looking for their first job
How will your doubts get solved?
You can post your doubts on the Q&A forum which will be answered by the teachers within 24 hours.
Course Content
- Module 1: Review of Python
- Topic 1.1: Input/Output Statements
- Topic 1.2: Variables, Data types, Operators
- Topic 1.3: Control Statements
- Topic 1.4: Functions
- Topic 1.5: Data Structures: Strings, List,Tuple,Set,Dictionary
- Topic 1.6: Functional Programming and Idiomatic approach
- Topic 1.7: Modules, Packages and Core Libraries
- Topic 1.8: OOPS Concept
- Module 2: Python Packages for Data Science Applications
Anil Kumar
Master Trainer
An experienced trainer with 11+ years of experience having trained more than 25000+ students in various technology courses.
Experienced Information Technology Project Manager with a demonstrated history of working in the information technology and services industry. Skilled in C++, PL/SQL, .NET Framework, Transact-SQL (T-SQL), ASP.NET. and Python. Strong program and project management professional with a Bachelor of Technology - BTech focused in Electrical, Electronics and Communications Engineering from Lord's Institute Of Engineering And Technology.
Score Breakdown
4.6 / 5.0
Score Breakdown
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(3)
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Average Rating For
- Content0
- Knowledge0
- Assignment0
- Classroom0
- Instructor5.0
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Good
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Perfect internship period.
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teaching skills was very excellent
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Very good
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It was a good experience and will suggest for other people who are interested in python with particular specification
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Internship was very good and it helped me learn new programming skills...
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good
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Internship was very good and it helped me learn new programming skills...
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Good internship program for students
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Excellent
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good
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Excellent
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Perfect internship period.
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very good
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teaching skills was good
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learned a lot
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Very good support
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I learned lot
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learned a lot thankyou
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Good Internship.
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Good
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it very usefull for me
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Learnt a lot Thank you
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good platform to learn
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teaching skills is excellent
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they supported a lot
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they will take care for every student
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good
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Good
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better internship DS
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a good platform for
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A good start for getting into DS
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Its very usefull
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teaching was very good
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better internship
You are not applied for the course..!
1. Can I enroll in this program if I don't have any prior knowledge of programming?
This course is suitable for anyone who wants to learn Data Science, Data Analytics, Software Development, Data Engineering, AI, and DevOps as well as a number of other job roles.
2. What if I miss a live class?
Our Learning Management System assists you in revisiting crucial topics and prep for quizzes and tests.Get access to recorded lectures and revisit them later at your own convenience.Get access to recorded lectures and revisit them later at your own convenience.
3. Will this course cover Python in detail?
Yes, this course covers Python ? the most popular tool for Data Science and Machine Learning jobs. You will start with Python programming fundamentals and then learn all the Data Science concepts with Python. You will work on multiple Python Data Science projects to learn how data scientists solve real-business problems with Python. You will become a Python expert by the end of the course.
4. How will I learn?
Through rigorous exercises, hands-on in-class practice projects and a personalized project, this program will prepare you to start your career in Data Analytics at A-list firms and startups.
5. Will I be mentored?
Of course! You?re assigned a dedicated program mentor who not only supports you but also guides you on the most suitable career path. Throughout the course, your program mentor will encourage you to finish projects, engage in classes and get the most out of this course.
6. How do you train?
We value hands-on, experiential learning and impart the same using our cutting-edge curriculum and guidance. You get involved in discussions during live lectures, learn applications through rigorous hands-on exercises, and resolve your queries with the faculty. It provides a highly interactive learning environment where you learn from the faculty, mentor, as well as your peers.
7. What study material will be provided to me for the program?
You will get recordings of the lectures to review at your own convenience. You will also have access to student notes, practice projects, additional study material and quizzes on our fully-integrated online learning portal.
- Course Details
- To Be Announced
