Introduction to BI and Data Analytics

Objective: Describing tasks and differences in the fields of business intelligence and data analytics

Content:

• Welcome session
• Course schedule and look at building blocks
• Introduction to the learning environment
• Defining the terms “data analytics” and “business intelligence”
• The work of a BI Analyst
• Data analytics case study:
  • Asking questions about the data
  • Data gathering
  • Structuring the data
  • Data analysis
  • Visualizing the result

The Work of a Data Analyst, Introduction to Python Part 1

Objectives: Using standard data types in the Python programming language and their native methods in the correct situations; Using flow control concepts

Content:

• Defining the term “Big Data”
• The work of a Data Analyst
• Overview and differences between business intelligence and data analytics tools:
  • SQL, Power BI, Tableau, Qlik, Python, R and more
• Introduction to Python part 1:
  • Numbers and calculations in Python
  • Variables
  • Reading and understanding error messages
  • Text in Python

Introduction to Python Part 2

Objectives: Using standard data types in the Python programming language and their native methods in the correct situations; Using flow control concepts

Content:

• Using functions in Python
• The Boolean data type
• If-then conditions

Introduction to Python Part 2

Objectives: Using standard data types in the Python programming language and their native methods in the correct situations; Using flow control concepts

Content:

• Using functions in Python
• The Boolean data type
• If-then conditions

Goals:

• Use of flow control concepts

Contents:

• The for loop
• The range function
• Combining loops and conditions