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IBM

Machine Learning: Exploratory Data Analysis

via edX

Overview

Learn to retrieve, clean, and prepare data for using real-world tools and techniques. Gain essential skills for machine learning and AI that employers value.

What you'll learn

  • • Retrieve data from diverse sources, including SQL/NoSQL databases, APIs, and cloud platforms, for machine learning applications.• Apply data cleaning and pre…

Skills you'll practise

OutliersCalculusFeature EngineeringLinear AlgebraData PreprocessingExploratory Data AnalysisNoSQLPython (Programming Language)SQL (Programming Language)Statistical Hypothesis TestingApplication Programming Interface (API)Machine LearningProbabilityArtificial Intelligence

Advantages and disadvantages

Advantages

  • University courses you can audit for free, with lectures, readings and practice quizzes.
  • A verified certificate from the university if you pay for it.
  • From IBM, a well-regarded name.
  • Self-paced: start any time.

Disadvantages

  • Graded assignments and the certificate need the paid track.
  • Audit access can expire a few weeks after the course ends.
  • Learning is free, but the certificate costs money.
  • Some parts (graded work, certificate) are paid.

Some points apply to every course of this kind; see how we rank.

Free to audit

  • Free: Choose "Audit this course" when you enrol: lectures, readings and practice are free.
  • Paid: Graded assignments and the verified certificate (Certificate $149). Audit access may end after the course closes.

Before you start

To make the most out of this course, you should have familiarity with programming on a Python development environment, as well as fundamental understanding of Calculus, Linear Algebra, Probability, and Statistics.

Taught by

  • Joseph SantarcangeloPhD., Data Scientist

IBM is in Tier 2: excellent universities and the companies that build the technology of our institution ranking (84/100).

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