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Learn Python Libraries For Data Analysis & Data manipulation

Learn Python Libraries For Data Analysis & Data manipulation

GET UDEMY COURSE

Learn Python Pandas, Matplotlib & Seaborn. Read CSV, Excel, SQL, JSON, HTML etc. Datasets.

What you'll learn

  • Python Pandas Library and Its Methods
  • Reading Data from Sources like CSV, Excel, Html, Json, Json API, Dictionary, etc, using Python Pandas
  • Handling Missing Data in Datasets
  • Working with TIme Series Datasets
  • Use of Matplotlib Library For Plotting Graphs like Line Graph, Bar Graph, Histogram, Pie Chart etc.
  • Use of Seaborn Library For Plotting Graphs like Line , Bar, Distplot, Catplot, Swarmplot etc.
  • Exploratory Data Analysis on Titanic Dataset
  • Exploratory Data Analysis on GOT Dataset
  • Exploratory Data Analysis on Historial Stock Data ( From JSON API)
  • Exploratory Data Analysis on Restaruant Tips Dataset

Requirements

  • Basic Knowledge of Python
  • Knows how to install applications on computer

Who this course is for:

  • Beginner Python Developers curious about Data Science
  • College or School Students who want to Learn Data Analysis

Learn Python Libraries For Data Analysis & Data manipulation. Learn Python Pandas, Matplotlib & Seaborn. Read CSV, Excel, SQL, JSON, HTML etc. Datasets.

Scikit-learn uses the math operations of SciPy to expose a concise interface to the most common machine learning algorithms. Data scientists 

Numpy and Scipy – Fundamental Scientific Computing · Pandas – Data Manipulation and Analysis · Matplotlib – Plotting and Visualization · Scikit-learn – Machine ...

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