Course Overview
🚀 Welcome to Python for Data Analysis! This beginner-friendly course is designed for individuals eager to dive into the world of data analysis using Python, regardless of their prior programming experience. Whether you're a student, a professional, or simply a curious learner, this course will equip you with essential skills to harness data effectively. 📊
- 🌟 Who Should Enroll?
- Individuals with no prior programming experience looking to explore data analysis.
- Students or professionals aiming to enhance their analytical skills for academic or career advancement.
- Anyone interested in learning data visualization techniques and performing statistical analysis using popular Python libraries.
- Business analysts or decision-makers seeking to leverage data insights for informed decision-making and problem-solving.
📚 Course Highlights:
- Introduction to Python programming basics and environment setup.
- Hands-on experience with data manipulation using Pandas.
- Visualizing data through powerful libraries like Matplotlib and Seaborn.
- Fundamentals of statistical analysis and interpretation of results.
- Real-world case studies to apply your learning and solidify your understanding.
💡 By the end of this course, you will have a solid foundation in Python for data analysis, enabling you to draw meaningful insights from data and make data-driven decisions with confidence. Join us and unlock the potential of data! 🌍
Course Features
Whom is this course for?
- Individuals with no prior programming experience who want to learn how to analyze data using Python.
- Students or professionals looking to enhance their skills in data analysis for academic or career advancement.
- Anyone interested in exploring data visualization techniques and statistical analysis using Python libraries.
- Business analysts or decision-makers seeking to leverage data insights for better decision-making and problem-solving.
Course Modules
Detailed Syllabus
Class Schedule (IST)
Hi there, I'm Arju Kundu! I am an experienced Analyst with a Master's Degree in Geology, which I completed in 2021. I've been working with CSIR for 2 years now and I must say, these years have been an amazing journey of growth and learning. Not only did I delve deeper into my academic field, but I also ventured into the world of Data Science, a subject I have been teaching for the past year. I believe in the power of education and the transformation it can bring. My teaching experience has been a fulfilling journey as I help others navigate the complex but fascinating world of Data Science. I'm passionate about my field and I love sharing my knowledge with others, just like you! I am confident that with my academic background and industry experience, I can provide valuable insights and learning that can help shape your future career in Data Science. Let's embark on this journey together, and I promise it will be an exciting and rewarding experience! Remember, learning is a never-ending process and I am here to guide you through every step of the way. So, are you ready to dive into the world of Data Science? Let's get started! Education: MSc in Geology (2021) Work Experience: Analyst at CSIR (2 years) Teaching Experience: Data Science (1 year)
Highest Education
MSc
Geology
Completion year: 2021
Work Experience
Analyst
CSIR
Total duration: 2 years
Teaching Experience
Data Science
Total duration: 1 years