Introduction to the fields of Data Science, Statistical Analysis

Introduction to Data Science Lesson 1

Lesson 1 - Test

A look at Big Data, and Data Sets introduction

Lesson 2 Careers in Data Science

Lesson 2 - Quiz Big Data

This cutting-edge Data Science course is the ultimate learning experience for anyone who wants to master the art of working with large datasets. Designed by top experts in the field, it covers everything from the fundamentals of statistical analysis and data manipulation to the latest breakthroughs in machine learning and artificial intelligence.

Prodigee Data Science - Intermediate

Live-In Session for Lesson 3

Live-in Session for Lesson IV

Test 3 - Variables and Math Operations

Instructions:
In this project, you will demonstrate your understanding of data types in Python. You are required to complete the following tasks and submit your code along with the output as a python file(take note python files usually have .py) . Make sure to comment your code appropriately for clarity. The project should be completed within 4 days.

Task 1: Data Type Identification

Define variables to represent the following pieces of information:
Your full name
Your age
Your height in meters (as a float)
Whether you are currently enrolled in a course (as a boolean)
Task 2: Type Conversion
2. Write a program that takes user input for a number as a string and converts it to an integer data type. Print the converted integer value.

Task 3: Numeric Operations
3. Write a program that calculates the area of a rectangle given its length and width. Take user input for the length and width and prints the result.

Task 4: String Manipulation
4. Write a program that takes user input for their first name & last name, and then prints a welcome message using string concatenation (term in programming referring to the adding of two words).

Exploring Data Types in Python

Live-In Session III

Problem Solving in Data Science w. Python - flowcharts & DataFlow Diagrams

Live-in Session

We dive into data  visualization and importing datasets into our Jupyter lab to refine that data and make it presentable.

Data Visualization Techniques with Pandas, NumPy and Matplotlib

Pandas, NumPy and Matplotlib II - using a Public Repo

Live-In Session for Data Visualization

Data Visualization with DataSets II

Instructions:
Project Assignment is to be submitted by 4th July, 2023 2pm

Final Project Work

{time()}-Introducing Data Science_ Big Data, Machine Learning, and more, using Python tools.pdf

Setting Up your environment - Watch Video from Link
https://drive.google.com/file/d/1E2TPDSgAzeUbfCIEFU9cToCUKh_-FMco/view?usp=sharing

{time()}-Anaconda Navigator.png

Live-in Session MTN Money Transfer FlowChart System
Recording: https://drive.google.com/file/d/1iTHPHB2IFihxj2zyb2_S5If_-gbXa-r6/view?usp=sharing

{time()}-FlowCharts for DataScience.pdf

DATA TYPES Live-In Session
https://drive.google.com/file/d/1VTQYu-R4Vf8RDb5Wh-UKIgbZLKqPOHp9/view?usp=sharing

{time()}-Data Science (1).png

Kindly Access the Recording here using this link:
https://drive.google.com/file/d/1Emo6leBEURKUyrmRxymZNdJV6ch7KxnE/view?usp=sharing

{time()}-Headache DataSet.csv

Kindly Access the 2nd Recording here on data visualization using this link:
https://drive.google.com/file/d/1Emo6leBEURKUyrmRxymZNdJV6ch7KxnE/view?usp=sharing

Kindly Access the 2nd Recording here on data visualization using this link:
https://drive.google.com/file/d/1VlD7L1-lqbUbQ6lG5f6N1g5WLIaLtEgl/view?usp=sharing

Final Project work Data Science and Analytics(Intermediate) Cohort G - 2023
Kindly download the file and use it to solve your project