DATA SCIENCE

COURSE OUTLINE

GOOGLE LAB & PYTHON

  • Importing library
  • Python in-built Methods: print, type, len, min, max, count, sum, range, append, remove, insert, sort
  • Data type and structures: Integer, Float, Strings, List, Dictionary, Tuple; indexing and slicing.
  • Python Functions: Methods and Classes
  • Python Statements and Loops: For loop, while loop, if, if-else, break, continue.
  • Reading and writing files.

DATA WRANGLING

  • Types of Variables:
  • Categorical and Ordinal
  • Encoding categorical features
  • Dropping and creating columns
  • Find missing values and filling missing values.
  • Combining data: merge, join, concatenate.
  • Detecting and removing outliers.

EXPLORATORY DATA ANALYSIS

  • Mean, mode, median, standard deviation.
  • What is data scaling and when not to use it?
  • normalization and standardization.

 DATA VISUALIZATION

  • Introduction to BI Tools
    Power BI,
  • Tableau: Importing data, plotting charts,
  • Exporting visualization, Presenting Data

Other Info

Virtual: Live online classes 

  • Location: Favored Online Learning 
  • Virtual App: Zoom

Internet & A laptop

Weekends

8 Saturdays

16 HRS

Application fee of $3 or (1,150 NGN) will be required to finalize your application

Job roles

  • Data Analyst
  • Data Engineer
  • Machine Learning Engineer
  • Data Science Generalist
  • Business Analytics
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