icon

Description

This course is designed to provide participants with a comprehensive introduction to data science 
using Python. Participants will learn the fundamental tools and techniques used in the field of data 
science, including data manipulation, exploration, visualization, and machine learning. The course 
will also cover practical applications of Python in real-world scenarios, allowing participants to 
develop the skills necessary to analyze and interpret data effectively.

1. Introduction to Data Science

2. Python Basics & Advance

3. Python Packages for Analysis

4. Python Packages for Visualization

5. Data Wrangling Techniques

5. Introduction to Machine Learning Supervised Learning - Regression

6. Introduction to Machine Learning Supervised Learning - Regression

Reviews

  • Gopal Sharma 188 Days ago

    Data Science with Python

    Awesome course for beginners who want to focus on practical application rather than theory. Real-life problem solving. Though at times the assessments may feel challenging - but it encourages deep thinking, which is a major takeaway from this course.

  • Beeru 187 Days ago

    Data Science with Python

    Great work team! Is ideal for DS enthusiasts to get started using Python! Highly recommended

  • Vipin 185 Days ago

    Data Science with Python

    If you want to grasp Python and its practical use - this course will be really beneficial. Rather than wasting your time trying to learn from different videos, take this course and get ahead of the curve.

  • Manish Garg 181 Days ago

    Data Science with Python

    I completed this course and directly applied the concepts on a new project that just came our way. Feeling confident and happy!

Frequently Asked Questions.

Is Python good for data science?

Yes! Python is like the Swiss Army Knife of data science - cleans, analyzes, and visualizes data like a champ.

How to be a data scientist with Python?

Learn Python basics, then dive into libraries like NumPy, pandas, Matplotlib and  data science concepts. This Data Science With Python can be a complete game changer.

Is Python data science in demand?

Extremely! Python's popularity in data science is skyrocketing. Python skills are a huge asset for data science job seekers and companies are hungry for Pythonic data scientists .

Can AI replace data science?

No! AI is a powerful tool used by data scientists, but not a replacement. They work together. Think of AI as a super-charged assistant.

Is data science a good career?

Data science is a hot career! It's intellectually stimulating, impactful, and offers great opportunities.

What is the salary of a data scientist in Python?

Data scientists with Python skills command competitive salaries. However it varies based on experience.

Is data science hard?

Data science has a learning curve, but with dedication and the right resources, you can crack it.

What is the future of data science?

Data science is transforming every industry, and Python is a key player in this revolution.  As data keeps growing, data science skills will be even more critical.

Is Python sufficient for data science?

Python is a great foundation, but data science often involves SQL, statistics, and machine learning too.

Can I directly become data scientist?

Typically not. Data scientists need domain knowledge and soft skills like communication to truly thrive.  Consider starting with data analysis and building your skills and experience.