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Data Analysis with Python & Pandas

10th Sep 2023 (3:00PM IST to 5PM IST) 418 (Registered Users)


Who is This Training For?
Freshers/College Students
Software Engineers/Developers
Tech Leads and Managers
Freelancers/Solopreneurs
Women After a Career Gap
Anyone Looking for a Change
What You'll Learn?

In this comprehensive class, you'll dive into the world of data analysis using the powerful Python programming language. Whether you're a beginner or an experienced programmer, this masterclass will provide the skills and knowledge to effectively analyze and visualize data, draw meaningful insights, and make informed decisions.

Agenda

  • What is Data Analyst?
  • Why Python?
  • Significance of Python in Data Science/Analysis
  • How to use Jupyter/Colab Notebook
  • Introduction to Pandas
  • Reading Data with Pandas
  • Data Cleaning & Pre-processing
  • Analyzing Real-World sales Data using Pandas
  • Visualise and draw insights using Matplotlib
  • Use Plotly to create the analysis report
  • Q&A

By the end of this masterclass, you'll be equipped with the tools and techniques needed to confidently embark on data analysis projects, whether for personal exploration or professional applications. Join us on this exciting journey and unlock the power of Python for data analysis!

About Speaker

Speaker image

Shivam Singh (Data Science Mentor & Researcher)


A dedicated, high-energy Data Science Trainer and Deep Learning Researcher with 5+ years of experience. Passionate about empowering individuals and organizations through data-driven insights and cutting-edge technologies. Specialized in data analysis, machine learning, deep learning, computer vision, and natural language processing. Skilled in Python, SQL, Excel, Tableau, Power BI, TensorFlow, Open CV and other relevant tools. Provided effective training programs on ML and Data Science to 5k+ students through both online and offline platforms. Provided consulting services to doctorate candidates, professionals, and college students to help them to get ahead with their careers.

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