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Python Basics, Pandas, NumPy, Matplotlib, Seaborn

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Course offered by Rajiv Pujala

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Learn the foundational concepts of Python programming, including variables, data types, loops, conditions, and functions. These essential skills will empower you to build simple yet effective programs, setting the stage for more complex tasks.

End-to-End Pandas Module:
Master the Pandas library to read, import, and manipulate data with ease. I will guide you through handling datasets, cleaning data, transforming data structures, and performing data analysis with real-world examples.

End-to-End NumPy Module:
Understand the power of NumPy in Python for numerical computing. From arrays to complex mathematical operations, I will teach you how to efficiently handle large datasets and perform array operations—skills essential for data science.

Plotting with Matplotlib:
Learn how to visualize your data by creating clear, informative plots using Matplotlib. You'll gain the ability to create bar graphs, line plots, histograms, and more to showcase your analysis effectively.

 

By taking this course, you will have a good commanding on Python

About the Trainer

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Rajiv Pujala

Bachelor of Engineering (B.E.) from Rise Gandhi Groups in 2013

12 Years of Experience

I have over 10 years of experience in data analytics, machine learning, and supply chain management, with a strong focus on driving impactful solutions for large organizations. Currently, I work as a Program Manager at Google, where I lead machine learning and data analytics projects in the supply chain domain.

Throughout my career, I have developed expertise in machine learning frameworks like scikit-learn and PyTorch, with experience in building data pipelines, predictive models, and statistical analysis techniques. I’ve worked with large datasets using BigQuery and have hands-on experience with SQL, Python, and data visualization tools.

I also share my knowledge through my YouTube channel, CodeCraft with Rajiv Pujala, where I create tutorials and educational content on machine learning, coding, and data analytics. This has given me the opportunity to teach complex topics to a wide audience, further enhancing my skills in simplifying and presenting technical content.

Additionally, I have worked on projects that integrate data science into supply chain processes, automating manual tasks and driving efficiencies, such as the development of a model to predict commodity codes for supply chain operations.

I’m passionate about teaching and sharing my expertise, and I look forward to providing valuable learning experiences to others.

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