INTRODUCTION – DATA STRUCTURES IN PYTHON So, here, we are going to introduce some of the most important data structures: list, tuple, dictionary, set, and array-in this module. And you will build up the understanding of two indispensable tools so-called NumPy and pandas for advanced data analysis. Learning Outcome: Manipulate dataframes through selection, indexing, boolean … Read more
Module 1: Hello, Python! INTRODUCTION – Hello, Python! You will start by learning the basics of Python programming and how it is a tool for a whole range of things, including data analysis. An introduction shall also include Jupyter Notebooks-a very handy coding and data work environment. You will know how to make and use … Read more
Module 3: Loops and Strings INTRODUCTION – Loops and Strings In this section, you will learn how to use iterative statements, or simply loops, to carry on something you have done rough and are often going to repeat. Additionally, you will learn more about string manipulation with slicing, indexing and formatting. Learning Objectives Understand concatenation, … Read more
INTRODUCTION – Unsupervised Learning Techniques A comprehensive module on unsupervised learning in machine learning will be examined by participants. The first introduction will speak about the supervised learning and unsupervised learning methods and the relative advantages and applications of both. Basic components of unsupervised learning will then be laid down in participants to prepare them … Read more
INTRODUCTION – Course 2 End-Of-Course Project The learner will subsequently apply all of their acquired knowledge on Python within an end-course project: Select a business problem from a suitable set of choices; use the downloaded data to solve the problem. This project will enable individuals to showcase their talent and build a resume portfolio to … Read more
INTRODUCTION to Course 1 End-Of-Course Project You will end this course with a project that lets you take data skills and knowledge learned in Course 1 into a real-world workplace scenario and practice solving a business problem. Learning Objectives: Explain key findings for the audience being addressed. Draft a project plan for a data science … Read more
INTRODUCTION – Your Career as a Data Professional You, through a detailed study of the skills of data professionals such as data analysis and teamwork, will explore the process of data analysis and visualization. Learning Objectives Recognize the various career resources that would assist in preparation for a job search, and then compare and contrast … Read more
INTRODUCTION The Impact of Data Science Now armed with more elaborate knowledge on the evolution of data science, it shall be time to ride to modern-day data workplaces and show how data professionals organize and analyze information to bring about decisions made by organizations. Learning Objectives Acknowledge and address the ethical consequences that data analyses … Read more