Data Exploration Project - Data Analytics with Data Exploration Case Study

Project - Data Analytics with Data Exploration Case Study

Catalog: Data Exploration
Short name: PDA With data exploration case study
Course start date: 2024-07-02
Paystack
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Description

The Python course is thoughtfully designed to allow learners with programming background to make a transition into the analytics industry with the correct skillsets using Python programmng language. It is designed in a way that the student starts with the introduction to Python programming, and in a very hands-on learning method using Jupyter Notebook, will learn the libraries of Data Analytics using Numpy, Pandas, with applied statistics and machine learning concepts and applications. Post completion of the program, learners will be prepared to device solutions for real tine problems in the industry.


In this course, we will cover these the various techniques used in data science using the Python programming language.

The course will include the following:

• Introduction to Data Analytics

• Time Series Analysis

• Data Visualization

• Applied Statistics and Machine Learning.

Course Duration:-5h 19m

Sections

General
0 activities

Introduction to Applied Data Analytics Using Python
Installation of Jupiter Notebook
Demonstrating Data Analytics in Jupiter Notebook
Demonstrating Data Analytics in Jupiter Notebook Continue
Creation of Arrays - NumPy
Linear Algebra Demonstration
Creating Random Numbers
Data Analysis of CSV File
Analyzing Output of CSV File
Histogram
Creation of Series
Subplot Creation
Implementing Pandas for Data Analysis
Apply Multiple Filter Criteria
Changing the Datatype
Filter Rows
Selecting Multiple Rows
Sorting a Pandas Dataframes or a Series
Understanding Problem Statement
Dissecting the anatomy of a Dataframes
Accessing the Main Data Frame Components
Understanding Data Types
Selecting a single Column of Data as a Series
Calling Series Methods
Working with Operators on a Series
Chaining Series Methods Together
Making the Index Meaningful
Creating a Face Recognition Module
Analyzing the Training Phases
Analyzing the Prediction Phases
Analyzing the Output of Labels and Faces
Train Face Recognizer
Calculating Boolean Statistics - Movie Data
Constructing Multiple Boolean Conditions
Filtering with Boolean indexing
Replicating Boolean Indexing with Index Selection
Selecting with Unique and Sorted Indexes
Gaining Perspective on Stock Prices
Translating SQL Where Clauses
Determining the Normality of Stock Market Returns
Improving Readability of Boolean
Preserving Series with the where Method
Course Certificate
Secure Video
42
Certificate
1
Cost: 5000
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Course Duration:-5h 19m