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IBM: Analyzing Data with Python

92,00 €

In this course, you will learn how to analyze data in Python using multi-dimensional arrays in numpy, manipulate DataFrames in pandas, use SciPy library of mathematical routines, and perform machine learning using scikit-learn!

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About this course

Please Note: Learners who successfully complete this IBM course can earn a skill badge — a detailed, verifiable and digital credential that profiles the knowledge and skills you’ve acquired in this course. Enroll to learn more, complete the course and claim your badge!

LEARN TO ANALYZE DATA WITH PYTHON

Learn how to analyze data using Python in this introductory course. You will go from understanding the basics of Python to exploring many different types of data through lecture, hands-on labs, and assignments. You will learn how to prepare data for analysis, perform simple statistical analyses, create meaningful data visualizations, predict future trends from data, and more!

At a glance

  • Institution: IBM
  • Subject: Data Analysis & Statistics
  • Level: Introductory
  • Prerequisites:

    Some Python Experience

  • Language: English
  • Video Transcripts: اَلْعَرَبِيَّةُ, Deutsch, English, Español, Français, हिन्दी, Bahasa Indonesia, Português, Kiswahili, తెలుగు, Türkçe, 中文
  • Associated programs:
    • Professional Certificate in Python Data Science
    • Professional Certificate in IBM Data Science
    • Professional Certificate in Data Analyst
  • Associated skills:Data Visualization, Basic Math, NumPy, Pandas (Python Package), Scikit-learn (Machine Learning Library), Python (Programming Language), Data Analysis, SciPy, Machine Learning

What you’ll learn

  • Import data sets, clean and prepare data for analysis, summarize data, and build data pipelines
  • Use Pandas, DataFrames, Numpy multidimensional arrays, and SciPy libraries to work with various datasets
  • Load, manipulate, analyze, and visualize dataset
  • Build machine-learning models and make predictions with scikit-learn

Additional information

Weeks

5
Language

English

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