Courses

Python & Data Analysis

By February 14, 2024 No Comments

 Course Objective

This course covers the basics of Python language and its use for Data Analysis.

Contents

1. Python & Data Analysis

1.1 Introduction to Python

1.2 Data Analysis Concepts

2. Python Basics

2.1 Variables & Operators

2.2 Lists, Tuples, Dictionaries

3. Python Control Structures

3.1 Conditions, Iterations

3.2 Functions, Libraries

4. Python Objects

4.1 Objects & Classes

4.2 Constructors

4.3 Inheritance, Polymorphism

5. Data Analysis Calculations

5.1 Introduction to NumPy

5.2 Arrays, Data Types, Attributes

5.3 Maths

6. Data Analysis ETL

6.1 Introduction to Pandas

6.2 Reading Data

6.3 Manipulating Data

7. Data Visualization

7.1 Introduction to Matplotlib

7.2 Plots

7.3 Graphs

 Entry Requirements

Basic IT concepts understanding preferably with hands-on background is required from the participants.

 Target Group

Technical personnel involved in performing data analysis using Python.

 Mode of Delivery:  Live, instructor lead learning in a physical or virtual classroom

 Duration:  The duration of this course is 3 full training days

Language: Greek or English (Material in English)

Participants: The maximum number of participants for this course is 12 persons

 

Time schedule

The time required always depends on the knowledge of the attending participants and the schedule stated below can be used as estimate.

Days Course Structure  

Hours

Day 1 Python & Data Analysis Introduction to Python

1

  Data Analysis Concepts
Python Basics Variables & Operators

2

  Lists, Tuples, Dictionaries
Python Control Structures Conditions, Iterations

2

  Functions, Libraries

1

Day 2 Python Objects Objects & Classes

2

  Constructors
  Inheritance, Polymorphism

1

Data Analysis Calculations Introduction to NumPy

1

  Arrays, Data Types, Attributes, Maths

2

Day 3 Data Analysis ETL Introduction to Pandas

1

    Reading Data

1

    Manipulating Data

1

  Data Visualization Introduction to Matplotlib

1

    Plots

1

    Graphs

1