Python For Data Analytics
This course is designed to introduce learners to the fundamentals of Python programming and its application in data analysis. This course covers essential Python libraries such as Pandas, NumPy, Matplotlib, and Seaborn to manipulate data, perform statistical analysis, and create visualizations. Whether you're a beginner or looking to enhance your data analysis skills, this course provides practical knowledge to help you make data-driven decisions.
Satyajit Pattnaik
Expert in Generative AI, ML, NLP & Data Engineering
Here’s what you will learn?
- Understand Key Concepts: Grasp fundamental concepts in Python programming
This Course Includes
- Recorded Lessons: 18
- Recorded Hours: 6hr 7min
- Certificate of completion
- Access on Mobile
Course Description
Are you ready to jump into Data Science & Analytics?
Do you know that to enter the field of Data Science & Analytics, learning a programming language is must!!
This comprehensive course will be your guide to learn Python from scratch, and even will be introducing you to various mostly used libraries into Machine Learning & Data Science such as Pandas, NumPy, Matplotlib, Seaborn etc. to analyze data, create beautiful visualizations, and use powerful machine learning algorithms!
This course is designed in such a way that even someone with zero programming knowledge can learn with ease, and jump into the field of Data Science & Analytics. Yes, you heard it right!! Even if you have zero knowledge on programming, or you are coming from a purely non-technical background, this is the course you were searching for!! The trainer of this course carries an immense knowledge into Programming, Data Science & Analytics, and have taught 10,000+ students globally. With over 6 hours of content and detailed code notebooks for every lecture this is one of the most comprehensive course for Python on Udemy! Here are the topics that we will learn in this course:
· Python Basics
· Datatypes, Operators & Operands
· Data Structures - Lists, Tuples, Sets & Dictionaries
· Loops & Iteration
· Functions
· Map, Reduce & Filter Functions
· File Handling
· Control Structures
· Object Oriented Programming Concepts
· Python for Data Science & Analysis: Pandas
· Python for Data Science & Analysis: NumPy
· Python for Data Visualization: Matplotlib, Seaborn etc.
Enroll in the course and start your journey into Programming, Data Science & Analytics now!!
Course Content
18 Lessons | 1 Document | 6hr 7min
Hey,
Congrats on enrolling in the Python for Data Analytics Course!!
Use this link to download the resources that are used in this course: https://drive.google.com/drive/folders/1FjokzdGy8KB2ChKtLYcELUeSxPJKthU6?usp=sharing
Use this link to download the presentation used: https://drive.google.com/file/d/1hOdyjaBlQ-95iZPOSQFLooPfkatvUgW0/view?usp=sharing
Enjoy!!
About the instructor
Satyajit Pattnaik
Expert in Generative AI, ML, NLP & Data Engineering
Satyajit Pattnaik has 13+ years of experience in AI, Data Analytics, and Data Science across industries such as telecom, cybersecurity, insurance, and e-commerce. With over a decade of training and teaching experience, he has conducted numerous sessions on Data Science, ML, and AI. He has also been a keynote speaker at international conferences and universities across the APAC region.
Frequently Asked Questions
₹499 ₹898
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