Python for Data Science

This course is part of Fractal Data Science Professional Certificate

Instructor: Fractal Analytics

What you'll learn

  •   Explain the significance of Python in data science and its real-world applications.
  •   Apply Python to manipulate and analyze diverse data sources, using Pandas and relevant data types
  •   Create informative data visualizations and draw insights from data distributions and feature relationships
  •   Develop a comprehensive data preparation workflow for machine learning, including data rescaling and feature engineering
  • Skills you'll gain

  •   Descriptive Statistics
  •   Pandas (Python Package)
  •   Exploratory Data Analysis
  •   Data Manipulation
  •   Feature Engineering
  •   Data Visualization
  •   Statistics
  •   Applied Machine Learning
  •   Statistical Analysis
  •   Data Processing
  •   Data Science
  •   Data Transformation
  •   Data Cleansing
  •   Jupyter
  •   Data Wrangling
  •   Probability & Statistics
  •   Python Programming
  •   Data Analysis
  • There are 5 modules in this course

    This course teaches the vital skills to manipulate data using pandas, perform statistical analyses, and create impactful visualizations. Learn to solve real-world business problems and prepare data for machine learning applications. Get ready for some challenging assessments in the Python course where you'll apply your skills to real-world scenarios, ensuring a rewarding learning experience. Join us and Enroll in this course and take a step into the world of data-driven discoveries. No previous experience required

    Data wrangling with Python

    Exploratory data analysis

    Data pre-processing

    Feature Engineering

    Explore more from Data Analysis

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