Syllabus

Learning Outline

  • 1

    Welcome to Utiva!

    • Let's get you started

    • Python Installation Kit

  • 2

    Data Science with Python: Basic Operations

    • Intro

    • What is Python

    • Overview of the Jupyter Notebook

    • Basic operations in Python - Print() Function

    • Basic operations in Python - Basic Arithmetic Function

    • Basic operations in Python - Variables

    • Basic operations in Python - Project 1

    • Project 1 Solution

  • 3

    Data Science with Python: Basic Data Types

    • Basic data types - Strings.

    • Basic data types - Numeric data types.

    • Data Structures - Lists

    • Data Structures - Tuples

    • Data Structures - Dictionaries

    • Data types and Structures - Project 2

    • Project 2 Solution

  • 4

    Data Science with Python: Control Flow in Python

    • Control flow in Python - Overview

    • Control flow in python - Conditional Statements.

    • Control Flow in Python - For Loops

    • Control Flow in Python - While Loops.

    • Control Flow in Python - Project 3

    • Project 3 Solution

  • 5

    Data Science with Python: Functions and Modules in Python

    • Functions and Modules in Python - Functions.

    • Functions and Modules in Python - Lambda Functions.

    • Functions and Modules in Python - Modules

    • Functions and Modules in Python - Project 4

    • Project 4 Solution.

  • 6

    Data Science with Python: Numphy

    • Numpy - Introduction to Numpy.

    • Numpy - Creating Arrays in Numpy.

    • Numpy - Indexing & Slicing Arrays.

    • Numpy - Copy & View in Numpy.

    • Numpy - Shape and reshaping Arrays.

    • Numpy - Basic Operations in Numpy Arrays.

    • Data Analytics Operations in Numpy

    • Numpy - Project 5

    • Numpy - Project 5 Solution.

  • 7

    Data Science with Python: Pandas

    • Pandas - Introduction to Pandas.

    • Pandas - Reading in Files in Pandas.

    • Pandas - Looking at data in our dataframe.

    • Pandas - Accessing, Filtering and Sorting Data in Pandas.

    • Pandas - Indexing, loc & iloc in Pandas.

    • Pandas - Groupby and aggregate functions in Pandas.

    • Pandas - Merge, Join, and Concatenate in Pandas.

    • Pandas - Data Cleaning in Pandas 1.

    • Pandas - Data Cleaning in Pandas 2.

    • Pandas - Data Visualization in Pandas

    • Pandas - Project 6

    • Pandas - Project 6 Solution.

  • 8

    Data Science with Python: Matplotlib

    • Matplotlib - Introduction to Matplotlib.

    • Matplotlib - Basic plots in Matplotlib.

    • Matplotlib - Project 7

    • Project 7 Solution.

  • 9

    Data Science with Python: ML and Regression

    • Machine Learning - Introduction to Machine Learning.

    • Machine Learning - Supervised & Unsupervised Learning.

    • Machine Learning - Machine Learning Techniques.

    • Machine Learning - Introduction to Scikit-Learn.

    • Regression with Scikit-Learn - Introduction to Regression Models

    • Regression with Scikit-Learn - Building your First Linear Regression 1

    • Regression with Scikit-Learn - Building your First Linear Regression Model 2.

    • Regression with Scikit-Learn - Building your First Linear Regression Model 3.

    • Regression with Scikit-Learn - Building your First Linear Regression Model 4.

    • Regression with Scikit-Learn - Project 8

    • Project Solution.mp4

  • 10

    Data Science with Python: Classification

    • Classification with Scikit-Learn - Introduction to Classification Models.

    • Classification with Scikit-Learn - Building your First Classification Model 1

    • Classification with Scikit-Learn - Building your First Classification Model 2

    • Classification with Scikit-Learn - Building your First Classification Model 3

    • Classification with Scikit-Learn - Building your First Classification Model 4

    • Classification with Scikit-Learn - Project 9

    • Project 9 Solution

  • 11

    Data Science with Python: Clustering

    • Clustering with Scikit-Learn - Introduction to Clustering Models.

    • Clustering with Scikit-Learn - Building your first Clustering Model 1

    • Clustering with Scikit-Learn - Building your first Clustering Model 2

    • Clustering with Scikit-Learn - Project 10

    • Project 10 Solution.

    • Wrap-Up.mp4

  • 12

    Sharpening Your Soft Skills for Jobs

    • Welcome to the Jobberman x Utiva Employability Program

    • Sharpening Your Soft Skills

    • Welcome to the SkilledUp Life UK x Utiva Employability Program

    • Practice what you have learnt so far.

    • Student Feedback

  • 13

    Virtual Projects [Post-Training]

    • Welcome to your Virtual Projects Program!

    • Indicino Capstone Project

    • AGCC Capstone Project