Overview
Introduction to Python for Data Science, Overview of NumPy, Pandas, Matplotlib, and SciPy, Creating NumPy Arrays, Mathematical Operations with NumPy Arrays, Working with Random Numbers and Simulations, Advanced Array Manipulation and Linear Algebra, NumPy for Statistical Computations (Mean, Median, Standard Deviation), Performance Optimization with NumPy, Loading and Saving Data with Pandas (CSV, Excel, SQL, etc.), Indexing, Selecting, and Filtering Data in DataFrames, Advanced Pandas Techniques, Matplotlib Data Visualization, Seaborn Advanced Visualization Techniques, SciPy Scientific Computing, Combining Libraries for Real World Data Science, And more........
Anyone interested in mastering the core Python libraries for data manipulation, analysis, and visualization., Students and professionals looking to enhance their data driven skills., Machine Learning Engineers who need to manipulate and understand data effectively., Python developers looking to transition into data science.
Basic understanding of Python programming (variables, data types, loops, functions)., No prior experience with NumPy, Pandas, SciPy, Matplotlib, or Seaborn is required.
Are you ready to unlock the full potential of Python for data science, analytics, and scientific computing? Whether you're a beginner eager to enter the world of data or an experienced programmer looking to deepen your skills, this course is your complete resource for mastering the core Python libraries: NumPy, Pandas, SciPy, and Matplotlib/Seaborn.
This hands-on, project-driven course is designed to take you from the basics all the way to advanced techniques in data analysis, numerical computing, and data visualization. You'll learn how to work with real-world datasets, perform complex data operations, and create stunning, publication-quality visualizations.
What You’ll Learn:
NumPy – Work with multidimensional arrays, broadcasting, indexing, and performance optimization
Pandas – Master dataframes, series, grouping, filtering, merging, and time series data
SciPy – Dive into scientific computing with optimization, statistics, interpolation, signal processing, and more
Matplotlib & Seaborn – Create insightful and beautiful visualizations, from basic plots to advanced charts
Data Workflow – Clean, transform, and prepare data for analysis and modeling
Why Take This Course?
Taught by experienced data professionals
Practical, hands-on learning with real-world datasets
Covers both the theory and the application
Builds a solid foundation for advanced data science and machine learning
By the end of this course, you'll be confident in your ability to manipulate, analyze, and visualize data using Python’s most essential libraries — a skill set that's in high demand across industries.
Enroll now and start your journey into data mastery today!
Sheikh Coding Institute
I am a professional technology instructor with a passion for empowering individuals to succeed in the digital world. With over 5 years of experience, I specialize in teaching Programming, Microsoft Office, SEO, and Digital Marketing, providing students with the essential skills needed to excel in today’s tech driven landscape.
My programming courses cover a variety of languages, including Python, JavaScript, and HTML/CSS, where I focus on practical, hands on learning that prepares students for real world applications. In addition to coding, I offer comprehensive training in Microsoft Office tools such as Word, Excel, PowerPoint, and Access, helping learners boost their productivity and efficiency.
I also specialize in SEO (Search Engine Optimization) and Digital Marketing, teaching students how to drive online traffic, optimize websites, and develop effective marketing strategies. I guide them through the process of creating successful digital campaigns, from content creation to analytics, ensuring they are equipped to meet the demands of modern businesses.
My teaching approach is student centered, adapting to various learning styles and ensuring that each individual is supported in their journey. Whether you're looking to enhance your career, shift into a tech field, or improve your digital marketing skills, I am committed to providing a dynamic and engaging learning experience that prepares you for success.