The Data Science Course 2020: Complete Data Science Bundle

Learn to reach your full potential by taking our The Data Science Course 2020: Complete Data Science Bundle and leap …

The Data Science Course 2020: Complete Data Science Bundle

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Original price was: £415.Current price is: £25. ex VAT
1 year
Intermediate
Number of Units99
Number of Quizzes0
1 day

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Curriculum

Learn to reach your full potential by taking our The Data Science Course 2020: Complete Data Science Bundle and leap up the career ladder of your choice.

You can become quickly skilled in the field by enrolling in this bestselling course and stand proudly above applicants and candidates as you impress your future employer.

The Data Science Course 2020: Complete Data Science Bundle has been especially designed by industry experts and specialists to rapidly coach learners just like you and help you succeed in your ambitions. We are committed to support you all the way and our dedicated staff will be available 24/7 to answer any queries or resolve technical problems. The learning modules are small but intensive and crafted to help you gain the maximum knowledge in the minimum time.

The Data Science Course 2020: Complete Data Science Bundle will also give you approved accreditation from CPD and allow you to study anywhere and at any time. We work to your requirements, not the other way round.

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Why People love The Data Science Course 2020: Complete Data Science Bundle From Academy for Health & Fitness:

You receive a recognised certificate from CPD
The interactive learning materials in The Data Science Course 2020: Complete Data Science Bundle are second -to-none
There is immediate 24/7 access to all The Data Science Course 2020: Complete Data Science Bundle content for a full year when you enrol
You can complete The Data Science Course 2020: Complete Data Science Bundle at your own pace
Every learner has access to full tutor support on weekdays

Showcase Your Accomplishment of New Skills: Get a Certification of Completion

Upon passing the course, you will receive proper certification that is accredited by CPD and universally accepted. You can order your certificate at a cost of £10 for PDF and £29 for hardcopy certificate or both for £39.

Who Is This Course For?

The The Data Science Course 2020: Complete Data Science Bundle has been professionally-designed for motivated learners who are looking to add a new skill to their CV and stand head and shoulders above the competition. Learn the latest industry-specific information with the The Data Science Course 2020: Complete Data Science Bundle.

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Requirements

Enrol on the The Data Science Course 2020: Complete Data Science Bundle with no formal entry requirements! If you have a passion for knowledge and want to learn something new, register on the The Data Science Course 2020: Complete Data Science Bundle without any delay.

We only ask that all students have a passion for learning and literacy, and be over the age of 16.

Complete the The Data Science Course 2020: Complete Data Science Bundle online from your computer, tablet, or smartphone, and learn in a way that suits you.

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
Certificate
	Order Your Certificate	00:00:00

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The Data Science Course 2020: Complete Data Science Bundle

The Data Science Course 2020: Complete Data Science Bundle

Why People love The Data Science Course 2020: Complete Data Science Bundle From Academy for Health & Fitness: