Introduction To Data Analytics with Python

by McGill University School of Continuing Studies Claim Listing

Types of data analytics. Connecting business problems to analytics techniques and methods. The analytics process: identification, extraction, cleaning, transformation, analysis, and interpretation.

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img Duration

4 Weeks

Course Details

Types of data analytics. Connecting business problems to analytics techniques and methods. The analytics process: identification, extraction, cleaning, transformation, analysis, and interpretation. Producing and improving data science and machine learning models and assessing their performance. Data analysis and modelling using Python.

 

Topics Covered:

  • Python fundamentals 
  • Data Science  
  • Data-driven decisions 
  • Basic math, probability, and statistics for data science  
  • Data visualization 
  • Exploratory data analysis 

 

Learning Outcomes:

  • Demonstrate basic Python skills required for different data science projects  
  • Connect to different types of datasets using Python  
  • Perform exploratory data analysis on a data set using different Python data science packages   
  • Choose and apply appropriate basic data visualization techniques to support exploratory analysis of datasets  
  • Describe the data science process and its different steps  
  • Explain certain data-driven business models and the link between data and business value 

 

  • Montreal Branch

    680 Sherbrooke Street West, 11th floor, Montreal

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