Overview

The Data Science and Visualisation with Machine Learning is the best way for you to gain deep insight and knowledge of this topic. You will learn from industry experts and obtain a professional certificate after completing the course. Enrol now for a limited-time discounted price.

Like all the courses of Studyhub, this Data Science and Visualisation with Machine Learning too is designed with the utmost attention and thorough research. All the topics are broken down into easy to understand bite-sized modules that help our learners to understand each lesson very easily.

We don’t just provide courses at Studyhub; we provide a rich learning experience. After purchasing a course from Studyhub, you get complete 1-year access with tutor support. 

Our expert instructors are always available to answer all your questions and make your learning experience exquisite.

After completing the Data Science and Visualisation with Machine Learning, you will instantly get an e-certificate that will help you get jobs in the relevant field and will enrich your CV.

If you want to learn about this topic and want to get professional qualifications, you should consider this Data Science and Visualisation with Machine Learning from Studyhub.

 

Description

Here at Studyhub, we put our heart and soul into every single course we design. We make sure that all our courses are designed and developed by industry experts. We aim always to provide value to our learners with quality courses.

Our learners are our top priority, and you as a learner will gain tremendous knowledge and skill on this topic from this Data Science and Visualisation with Machine Learning.

The certification that you will receive upon completing this Data Science and Visualisation with Machine Learning will help to boost your resume and will help you stand out among your peers in the competitive job market.

Our course will help you get employed in the relevant field and advance your career. Enjoy this expertly made course from Studyhub. Enrol now!

Why People Love And Enrol In The Data Science and Visualisation with Machine Learning From Studyhub

  • Instantly accessible CPD-accredited certificate on successful completion of this Data Science and Visualisation with Machine Learning

  • 24/7 access to the course for 12 months

  • Study at your own pace

  • No hidden fees or exam charges

  • Full Tutor support on weekdays (Monday – Friday)

  • Efficient assessment and instant results

Method of Assessment

To assess your learning, you have to participate in an automated multiple-choice question exam. You have to score at least 60% to pass the exam and to qualify for CPD accredited certificates. After passing the exam, you will be able to apply for a certificate.

To enhance your knowledge regarding the course and to further assess your learning, you are advised to complete the assignment questions provided at the end of the course, which you can complete anytime you wish. 

After submitting the assignment, our expert tutor will assess your assignment and will give you feedback on your performance.

Certification

After completing the MCQ assessment, you will qualify for the CPD Certificate from Studyhub, as proof of your continued professional development. Certification is available in PDF format, for £9, or a hard copy can be sent to you via post, for just £15.

Who is This course for?

This Data Science and Visualisation with Machine Learning is ideal for

  • Students
  • Recent graduates
  • Job Seekers
  • Anyone interested in this topic
  • People already working in this field and want to polish their knowledge and skill.

Requirements

There are no specific prerequisites to enrol in this Data Science and Visualisation with Machine Learning. Anyone and everyone can take this course.

The Data Science and Visualisation with Machine Learning is fully accessible from any internet-enabled smart device. So, you can study from the comfort of your home!

All you need is a passion for learning, literacy, and to be over the age of 16.

Career Path

This Data Science and Visualisation with Machine Learning will help you procure a job in the relevant field and will allow you to advance your career. Many job roles will be available for you to explore after completing this course. This Data Science and Visualisation with Machine Learning also increases your competency to be eligible for promotions at work.

Enrol now to this comprehensive course from Studyhub and take your career to the next step.

Course Curriculum

Welcome, Course Introduction & overview, and Environment set-up
Welcome & Course Overview 00:07:00
Set-up the Environment for the Course (lecture 1) 00:09:00
Set-up the Environment for the Course (lecture 2) 00:25:00
Two other options to setup environment 00:04:00
Python Essentials
Python data types Part 1 00:21:00
Python Data Types Part 2 00:15:00
Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 1) 00:16:00
Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 2) 00:20:00
Python Essentials Exercises Overview 00:02:00
Python Essentials Exercises Solutions 00:22:00
Python for Data Analysis using NumPy
What is Numpy? A brief introduction and installation instructions. 00:03:00
NumPy Essentials – NumPy arrays, built-in methods, array methods and attributes. 00:28:00
NumPy Essentials – Indexing, slicing, broadcasting & boolean masking 00:26:00
NumPy Essentials – Arithmetic Operations & Universal Functions 00:07:00
NumPy Essentials Exercises Overview 00:02:00
NumPy Essentials Exercises Solutions 00:25:00
Python for Data Analysis using Pandas
What is pandas? A brief introduction and installation instructions. 00:02:00
Pandas Introduction 00:02:00
Pandas Essentials – Pandas Data Structures – Series 00:20:00
Pandas Essentials – Pandas Data Structures – DataFrame 00:30:00
Pandas Essentials – Handling Missing Data 00:12:00
Pandas Essentials – Data Wrangling – Combining, merging, joining 00:20:00
Pandas Essentials – Groupby 00:10:00
Pandas Essentials – Useful Methods and Operations 00:26:00
Pandas Essentials – Project 1 (Overview) Customer Purchases Data 00:08:00
Pandas Essentials – Project 1 (Solutions) Customer Purchases Data 00:31:00
Pandas Essentials – Project 2 (Overview) Chicago Payroll Data 00:04:00
Pandas Essentials – Project 2 (Solutions Part 1) Chicago Payroll Data 00:18:00
Python for Data Visualization using matplotlib
Matplotlib Essentials (Part 1) – Basic Plotting & Object Oriented Approach 00:13:00
Matplotlib Essentials (Part 2) – Basic Plotting & Object Oriented Approach 00:22:00
Matplotlib Essentials (Part 3) – Basic Plotting & Object Oriented Approach 00:22:00
Matplotlib Essentials – Exercises Overview 00:06:00
Matplotlib Essentials – Exercises Solutions 00:21:00
Python for Data Visualization using Seaborn
Seaborn – Introduction & Installation 00:04:00
Seaborn – Distribution Plots 00:25:00
Seaborn – Categorical Plots (Part 1) 00:21:00
Seaborn – Categorical Plots (Part 2) 00:16:00
Seborn-Axis Grids 00:25:00
Seaborn – Matrix Plots 00:13:00
Seaborn – Regression Plots 00:11:00
Seaborn – Controlling Figure Aesthetics 00:10:00
Seaborn – Exercises Overview 00:04:00
Seaborn – Exercise Solutions 00:19:00
Python for Data Visualization using pandas
Pandas Built-in Data Visualization 00:34:00
Pandas Data Visualization Exercises Overview 00:03:00
Panda Data Visualization Exercises Solutions 00:13:00
Python for interactive & geographical plotting using Plotly and Cufflinks
Plotly & Cufflinks – Interactive & Geographical Plotting (Part 1) 00:19:00
Plotly & Cufflinks – Interactive & Geographical Plotting (Part 2) 00:14:00
Plotly & Cufflinks – Interactive & Geographical Plotting Exercises (Overview) 00:11:00
Plotly & Cufflinks – Interactive & Geographical Plotting Exercises (Solutions) 00:37:00
Capstone Project - Python for Data Analysis & Visualization
Project 1 – Oil vs Banks Stock Price during recession (Overview) 00:15:00
Project 1 – Oil vs Banks Stock Price during recession (Solutions Part 1) 00:18:00
Project 1 – Oil vs Banks Stock Price during recession (Solutions Part 2) 00:18:00
Project 1 – Oil vs Banks Stock Price during recession (Solutions Part 3) 00:17:00
Project 2 (Optional) – Emergency Calls from Montgomery County, PA (Overview) 00:03:00
Python for Machine Learning (ML) - scikit-learn - Linear Regression Model
Introduction to ML – What, Why and Types….. 00:15:00
Theory Lecture on Linear Regression Model, No Free Lunch, Bias Variance Tradeoff 00:15:00
scikit-learn – Linear Regression Model – Hands-on (Part 1) 00:17:00
scikit-learn – Linear Regression Model Hands-on (Part 2) 00:19:00
Good to know! How to save and load your trained Machine Learning Model! 00:01:00
scikit-learn – Linear Regression Model (Insurance Data Project Overview) 00:08:00
scikit-learn – Linear Regression Model (Insurance Data Project Solutions) 00:30:00
Python for Machine Learning - scikit-learn - Logistic Regression Model
Theory: Logistic Regression, conf. mat., TP, TN, Accuracy, Specificity…etc. 00:10:00
scikit-learn – Logistic Regression Model – Hands-on (Part 1) 00:17:00
scikit-learn – Logistic Regression Model – Hands-on (Part 2) 00:20:00
scikit-learn – Logistic Regression Model – Hands-on (Part 3) 00:11:00
scikit-learn – Logistic Regression Model – Hands-on (Project Overview) 00:05:00
scikit-learn – Logistic Regression Model – Hands-on (Project Solutions) 00:15:00
Python for Machine Learning - scikit-learn - K Nearest Neighbors
Theory: K Nearest Neighbors, Curse of dimensionality …. 00:08:00
scikit-learn – K Nearest Neighbors – Hands-on 00:25:00
scikt-learn – K Nearest Neighbors (Project Overview) 00:04:00
scikit-learn – K Nearest Neighbors (Project Solutions) 00:14:00
Python for Machine Learning - scikit-learn - Decision Tree and Random Forests
Theory: D-Tree & Random Forests, splitting, Entropy, IG, Bootstrap, Bagging…. 00:18:00
scikit-learn – Decision Tree and Random Forests – Hands-on (Part 1) 00:19:00
scikit-learn – Decision Tree and Random Forests (Project Overview) 00:05:00
scikit-learn – Decision Tree and Random Forests (Project Solutions) 00:15:00
Python for Machine Learning - scikit-learn -Support Vector Machines (SVMs)
Support Vector Machines (SVMs) – (Theory Lecture) 00:07:00
scikit-learn – Support Vector Machines – Hands-on (SVMs) 00:30:00
scikit-learn – Support Vector Machines (Project 1 Overview) 00:07:00
scikit-learn – Support Vector Machines (Project 1 Solutions) 00:20:00
scikit-learn – Support Vector Machines (Optional Project 2 – Overview) 00:02:00
Python for Machine Learning - scikit-learn - K Means Clustering
Theory: K Means Clustering, Elbow method ….. 00:11:00
scikit-learn – K Means Clustering – Hands-on 00:23:00
scikit-learn – K Means Clustering (Project Overview) 00:07:00
scikit-learn – K Means Clustering (Project Solutions) 00:22:00
Python for Machine Learning - scikit-learn - Principal Component Analysis (PCA)
Theory: Principal Component Analysis (PCA) 00:09:00
scikit-learn – Principal Component Analysis (PCA) – Hands-on 00:22:00
scikit-learn – Principal Component Analysis (PCA) – (Project Overview) 00:02:00
scikit-learn – Principal Component Analysis (PCA) – (Project Solutions) 00:17:00
Recommender Systems with Python - (Additional Topic)
Theory: Recommender Systems their Types and Importance 00:06:00
Python for Recommender Systems – Hands-on (Part 1) 00:18:00
Python for Recommender Systems – – Hands-on (Part 2) 00:19:00
Python for Natural Language Processing (NLP) - NLTK - (Additional Topic)
Natural Language Processing (NLP) – (Theory Lecture) 00:13:00
NLTK – NLP-Challenges, Data Sources, Data Processing ….. 00:13:00
NLTK – Feature Engineering and Text Preprocessing in Natural Language Processing 00:19:00
NLTK – NLP – Tokenization, Text Normalization, Vectorization, BoW…. 00:19:00
NLTK – BoW, TF-IDF, Machine Learning, Training & Evaluation, Naive Bayes … 00:13:00
NLTK – NLP – Pipeline feature to assemble several steps for cross-validation… 00:09:00
Resources
Resources – Data Science and Visualisation with Machine Learning 00:00:00

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Studyhub Course Certification

Add a new crest to your professional endeavour now with successful completion of this resourceful course developed diligently by Studyhub. Upskill yourself with quality education, and attain this accredited certificate to manifest a rock-solid foundation of your knowledge. Enhance your CV, showcase this added glory with pride and confidence.

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