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Python for Data Science - Part 1

60 Students

90 Lectures

THOMAS FESTUS CUDJOE

About This Course

THOMAS FESTUS CUDJOE

(21)

37 Courses

2109 Students

Hey there! I'm Festus, and I'm a Business Intelligence and Data analytics instructor. I've got over 5 years of experience in the field, and I'm a real pro when it comes to helping professionals make sense of their data. What's really cool is that I'm not just certified in Microsoft Power BI and a Microsoft Data Platform MVP, but I'm also a Chartered Accountant and Management Accountant with professional qualifications from ICAG and CIMA, UK. I've trained over 10,000 professionals from various industries, so I've got loads of experience teaching people how to unlock the power of data. My training sessions are interactive and practical, with real-world examples and scenarios to help learners understand ...

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Curriculum Overview

This course includes 12 modules, 90 lessons, and 1:21 hours of materials.

COURSE INTRODUCTION

5 Parts | 0:12 Hours

Course Overview

Course overview

Study Duration 4 Minutes

Attachments 0

Introduction

Course overview

Study Duration 3 Minutes

Attachments 0

Learning Objectives

Course objectives

Study Duration 3 Minutes

Attachments 0

How to get certified

How to receive your certificate.

Study Duration 2 Minutes

Attachments 0

Exercise Files

Download the exercise files and follow along with the videos. We learn best through practicing. Make use of the exercise files and develop your hands-on skills.

Volume 14.74 KB MB

INTRODUCTION TO GOOGLE COLAB

2 Parts | 0:01 Hours

Introduction to Colab

What is Colab Notebooks

Study Duration 1 Minutes

Attachments 0

Introduction to Google Colab

Volume 13.15 MB

Python Basics

11 Parts | 0:03 Hours

What is Python

Volume 5.57 MB

Why do you need to learn Python

Volume 6.80 MB

Why Python is popular

Volume 5.30 MB

Application of Python

Volume 7.77 MB

Live sample code

Access the live code on Google colab

Study Duration 1 Minutes

Attachments 0

Python operators

Volume 10.79 MB

Python Data types

Volume 7.79 MB

Type Conversion

Volume 12.71 MB

Adding comments

Volume 9.43 MB

Using variable

In Python we assign values to variables using the assignment operator(=).

Study Duration 2 Minutes

Attachments 0

Python strings

String
Strings in Python are shown as the variable type str. You can define a string with either double quotation marks " or quotation marks '.

String Methods
Python has a set of built-in methods that you can use on strings. Some of the methods include:

Len(): Count the number of charters in a string
upper(): Converts a string into upper case
lower(): Converts string into lowercase
capitalize(): Converts the first character to upper case
title(): Converts the first character of each word to upper case
format(): Formats specified values in a string
count() : Returns the number of times a specified value occurs in a string
split(): Splits the string at the specified separator, and returns a list

Volume 19.36 MB

WORKING WITH PYTHON DATA STRUCTURES

1 Parts

Introduction to Data Structures

Python Data Structures
Python’s data structures are simple but powerful. Mastering their use is a critical part of becoming a proficient Python programmer. These are some of the data structures in Python:

Tuples
Lists
Dictionaries
Dataframes and Series
Sets

Volume 3.95 MB

Python List

9 Parts | 0:22 Hours

Live Code

Access the sample live notebook for practice.

Study Duration 5 Minutes

Attachments 0

Introduction to Lists

Volume 3.98 MB

Creating Lists

Volume 13.76 MB

Accessing lists elements

Volume 16.12 MB

Updating lists

Volume 7.26 MB

List methods

Introduction to List methods

Study Duration 5 Minutes

Attachments 0

List Methods

Volume 12.80 MB

List Functions

Python List functions

Study Duration 2 Minutes

Attachments 0

Live Exercise

Test your skills

Study Duration 10 Minutes

Attachments 0

Tuples

4 Parts | 0:05 Hours

Live code

Exercise workbook

Study Duration 5 Minutes

Attachments 0

Creating Tuples

Volume 10.07 MB

Accessing Items

Volume 13.31 MB

Unpack tuples

Volume 11.93 MB

PYTHON DICTIONARY

5 Parts | 0:02 Hours

Live code

Sample exercise code

Study Duration 2 Minutes

Attachments 0

Introduction to Python Dictionaries

Volume 20.86 MB

Updating Dictionary

Volume 16.30 MB

Dictionary Methods and Functions

Python Dictionary Methods
Python has a set of built-in methods that you can use on dictionaries.

clear( ) - Removes all the elements from the dictionary
get( ) - Returns the value of the specified key
items( ) - Returns a list containing a tuple for each key value pair
keys( ) - Returns a list containing the dictionary's keys
pop( ) - Removes the element with the specified key
popitem( ) - Removes the last inserted key-value pair
update( )- Updates the dictionary with the specified key-value pairs
values( ) - Returns a list of all the values in the dictionary

Volume 16.04 MB

Dictionary Functions

Volume 29.23 MB

CONDITIONAL STATEMENTS

7 Parts | 0:12 Hours

Sample Notebook

Sample Notebook for practice

Study Duration 2 Minutes

Attachments 0

Introduction to IF Statements

Introduction to IF Statement

Study Duration 10 Minutes

Attachments 0

IF Statements Demos

Volume 26.19 MB

IF Statements Demos 2

Volume 16.17 MB

Introduction to ELSE Clause

Volume 6.42 MB

ELSE Clause Demo

Volume 23.38 MB

ELIF Clause

Volume 38.01 MB

LOOPS

18 Parts | 0:10 Hours

Sample Notebook

Study Duration 10 Minutes

Attachments 0

Introduction to Loops

Volume 5.15 MB

Introduction to for loops demo 1

Volume 9.29 MB

Introduction to for loops demo 2

Volume 11.89 MB

Introduction to for loops demo 3

Volume 10.43 MB

Introduction to for loops demo 4

Volume 19.43 MB

Introduction to for loops demo 5

Volume 11.16 MB

Iterating over dictionaries

Volume 16.11 MB

Introduction to Nested Loops

Volume 24.99 MB

Nested Loops

Volume 16.74 MB

Introduction to Loops with IF Statement

Volume 21.39 MB

Iterating over dictionaries with IF Statement

Volume 13.54 MB

Introduction to WHILE Loops

Volume 11.39 MB

While loops demo 1

Volume 10.08 MB

While loops demo 2

Volume 6.47 MB

List comprehension

Volume 15.16 MB

Enumerate Function

Volume 15.33 MB

Designing Login system

Volume 46.41 MB

FUNCTIONS

9 Parts | 0:05 Hours

Sample Notebook

Notebook for practice

Study Duration 5 Minutes

Attachments 0

Introduction to Functions

Volume 6.05 MB

User defined function_No input

Volume 9.41 MB

User defined function_Single Input

Volume 14.72 MB

User defined function_Multiple Input

Volume 13.88 MB

User Defined Function_Demo 1

Volume 10.65 MB

User Defined Function_Demo 2

Volume 14.27 MB

Function Documentation

Volume 13.12 MB

The MAP Function

Volume 7.22 MB

PYTHON PACKAGES

1 Parts | 0:02 Hours

Introduction to Packages or Libraries

Python packages

Study Duration 2 Minutes

Attachments 0

WORKING WITH NUMPY ARRAYS

18 Parts | 0:07 Hours

Sample Notebook

Notebook

Study Duration 5 Minutes

Attachments 0

Introduction to Arrays

Volume 6.37 MB

Arrays vs Lists

Volume 6.20 MB

Creating Arrays

Volume 17.39 MB

Creating multidimensional arrays

Volume 17.27 MB

Creating 3 dimensional arrays

Volume 14.30 MB

Data types

Volume 14.36 MB

Reshaping arrays

Volume 23.18 MB

Resize arrays

Volume 9.55 MB

Indexing arrays

Volume 13.10 MB

Slicing arrays

Volume 16.92 MB

Slicing multi dimensional arrays

Volume 23.30 MB

Vectorization

Volume 16.57 MB

Basic Numpy operations

Volume 18.28 MB

Aggregate functions

Volume 11.77 MB

Aggregate functions and arrays

Volume 15.47 MB

Mini Project

Volume 24.68 MB

Course review and certificate

Course review

Study Duration 2 Minutes

Attachments 0

Certificates

1 Parts

Course Certificate

If you pass all the lessons in this course, you will receive this certificate.

Type Course Certificate

Please log in to leave a comment.

Zion Bonzo

27 Sep 2023

I just finished taking the Python Introduction course on Festman Learning Hub, and it was a fantastic experience! The course thoroughly introduced Python basics, such as lists, tuples, loops, functions, and numpy. The instructor was engaging, and the material was presented clearly and concisely. The hands-on exercises were beneficial, as they allowed me to apply what I had learned in real-world situations. I highly recommend this course to anyone interested in learning Python basics and establishing a solid foundation in this powerful programming language. I am looking forward to the Part 2 on Pandas.