12 Easy Steps ✔ to the Python Data Analysis, Beginners Guide

⋆⋆⋆ Simple way ☀ to unlock your hidden, huge value as a professional. ✔ + Great examples to make it fun ⋆⋆⋆

Created by: Paulius Petravicius
Project Manager, Business Data Analyst & Business Analyst

What Will I Learn?

• ★ LEARN SOLVING PROBLEMS WITH PYTHON ✔ The aim is to show how each function works in Python. Thus, you will not only memorise what is on the screen but will gain understanding and will be able to apply to solve your unique problems.
• ★ GAIN THOSE INSIGHTS YOU ALWAYS NEEDED FOR YOU OR YOUR BUSINESS ✔ Convert data into insights with Python. Pick-up all the basics that you need to analyse and present data or uncover new libraries.
• ★ SAVE TIME AND MONEY BY AUTOMATING THOSE REPETITIVE TASKS ✔ Start automating your repetitive tasks with Python. Understand all different ways you can become a more productive professional.
• ★ DON'T CRUSH YOUR INTEREST BY FORCING INTO TRADITIONAL COURSES ✔ Learning python might sound hard and dull. But it doesn't have to. The course will make sure it is actually fun and exciting by using a coffee shop example.
• ★ SUPER EASY TO LEARN WITH ZERO PROGRAMMING KNOWLEDGE ✔ The material will be super easy to learn and will go through everything you need to know to start programming with Python even if you have literally never done this before.
• ★ UNDERSTAND WHY PEOPLE ARE CRAZY FOR PYTHON ✔ The course will dive into Python universe and will explain main concepts. So, you will know what to say if someone asks you about Python.
• ★ Understand What is Python, Anaconda, Jupyter Notebook ✔
• ★ Data Types ✔
• ★ Data Structures ✔
• ★ For Loops ✔
• ★ If Statement ✔
• ★ Functions ✔
• ★ Arrays in Python ✔
• ★ Learn to Enjoy Python and that It Is Not So Complex ✔

Requirements

• No, just have fun!

Target audience

• Everyone, who want to be a more productive professional
• Business Analysts, who want to use Python for their day to day tasks and increase productivity
• Students, who what to start learning how to use Python for large sets of data
• Data Analysts, who want to use Python for their day to day tasks and increase productivity
• Inviduals, who would like to learn Python