Free Udemy Course __ Complete Guide to NumPy, Pandas, SciPy, Matplotlib & Seaborn

Boost your data science skills by mastering NumPy, Pandas, SciPy, and powerful visualization tools in Python.

4.5 (6,452 students students enrolled) English
data-science Machine Learning
Complete Guide to NumPy, Pandas, SciPy, Matplotlib & Seaborn

What You'll Learn

  • 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........

Requirements

  • Basic understanding of Python programming (variables, data types, loops, functions).
  • No prior experience with NumPy, Pandas, SciPy, Matplotlib, or Seaborn is required.

Who This Course is For

  • 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.

Your Instructor

Sheikh Coding Institute

Instructor at Udemy

4.1 Instructor Rating

555 Reviews

35,544 Students

11 Courses

14.99 FREE 100% OFF
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