IBM certified Data Analyst

3 Months

  • Data Analytics Basics for Everyone
  • Analyzing Data with Excel
  • Data Visualization and Building Dashboards with Excel and Cognos
  • Python Basics for Data Science
  • Python for Data Science Project
  • SQL for Data Science
  • Analyzing Data with Python
  • Visualizing Data with Python
  • Data Analytics and Visualization Capstone Project
  • Assignments for assessment
  • Internship

Course Outline

  • Data Analytics Basics for Everyone

Learn the fundamentals of Data Analytics and gain an understanding of the data

  • Analysing Data with Excel

Analyse Data in Excel will analyse your data, and return interesting visuals about it in a task pane.

  • Data Visualization and Building Dashboards with Excel and Cognos

Build the fundamental knowledge necessary to use Excel and IBM Cognos Analytics to create data visualizations and to create dashboards.

  • Python Basics for Data Science

This module teaches the basics of Python and begins by exploring some of the different data types such as integers, real numbers, and strings.

  • Python for Data Science Project

Python is open source, interpreted, high level language and provides great approach for object-oriented programming. It is one of the best languages used by data scientist for various data science projects/application. Python provide great functionality to deal with mathematics, statistics and scientific function.

  • SQL for Data Science

A Data Scientist needs SQL to handle structured data. As the structured data is stored in relational databases.

  • Analysing Data with Python

Data Analysis is the technique to collect, transform, and organize data to make future predictions, and make informed data-driven decisions.

  • Visualizing Data with Python

Data visualization is the discipline of trying to understand data by placing it in a visual context so that patterns, trends, and correlations that might not otherwise be detected can be exposed.

  • Data Analytics and Visualization Capstone Project
  • Assignments for assessment
  • Internship