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We will help you become an ethical hacker in this course.

Duration 3 Days 18 CPD hours This course is intended for Anyone who wants to qualify as a professional tester. The certification also offers good qualifications for builders, designers, programmers and project managers Overview This three-day training provides a general introduction to information systems testing. The objective of the training is to prepare the students for the ISTQB Foundation exam. Some important topics that will certainly be discussed here are the importance of testing, testing in relation to system development and the fundamentals of a structured testing process. The different phases in a test project are explained, after which some test techniques (both black box and white box) are also discussed. This foundation training therefore contains the basis in testing for both test managers and testers. In addition to theory, the training also includes a number of mock exams, so that the topics covered are placed even better in the exam context. Course Outline test principles life cycle testing static techniques test specification techniques blackbox techniques whitebox techniques and experienced based techniques Additional course details: Nexus Humans Certified Tester Foundation Level (CTFL) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Certified Tester Foundation Level (CTFL) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Overview Learn how to speak the language of computers and become a coding expert, with the Diploma in Front-End Web Development (HTML, CSS, & Bootstrap) course. This introductory coding course will help you save time and money by learning how to build your own website from scratch, without professional help. You will learn how to create apps and games, step into the mind of a web developer, and speak the language that powers the web! Build your expertise and proficiency in HTML, CSS and JavaScript and go from beginner to expert in no time, with this complete step-by-step coding course. Why buy this Diploma in Front-End Web Development (HTML, CSS, & Bootstrap)? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Diploma in Front-End Web Development (HTML, CSS, & Bootstrap) you will be able to take the MCQ test that will assess your knowledge. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? This Diploma in Front-End Web Development (HTML, CSS, & Bootstrap) does not require you to have any prior qualifications or experience. You can just enrol and start learning.  Prerequisites This Diploma in Front-End Web Development (HTML, CSS, & Bootstrap) was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path As this course comes with multiple courses included as bonus, you will be able to pursue multiple occupations. This Diploma in Front-End Web Development (HTML, CSS, & Bootstrap) is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Diploma in Front-End Web Development (HTML, CSS, & Bootstrap) Welcome 1.1 Intro 00:03:00 1.2 Install the Tools and Get Started 00:05:00 HTML 5 2.1 Intro to HTML 00:01:00 2.2 What is HTML 00:11:00 2.3 Start a New HTML File & Use Tags 00:12:00 2.4 Header Tags 00:05:00 2.5 Edit Text 00:09:00 2.6 Links 00:09:00 2.7 Images 00:10:00 2.8 Lists 00:04:00 2.9 Challenge 00:16:00 2.10 HTML Outro 00:01:00 CSS 3 3.1 CSS Intro 00:04:00 3.2 Add CSS Styles 00:16:00 3.3 Classes and IDs 00:07:00 3.4 Borders 00:06:00 3.5 Sizing 00:04:00 3.6 Padding and Margin 00:07:00 3.7 Text Styles 00:04:00 3.8 DIVs 00:08:00 3.9 Postioning 00:08:00 3.10 Hover 00:03:00 3.11 Easily Center Elements 00:02:00 3.12 Fonts 00:06:00 3.13 Challenge 00:23:00 3.14 CSS Outro 00:01:00 Bootstrap 4.1 Intro to Bootstrap 00:02:00 4.2 Install Bootstrap 00:10:00 4.3 Indenting and Containers 00:07:00 4.4 The Grid System 00:16:00 4.5 Images 00:07:00 4.6 Buttons 00:06:00 4.7 Challenge 00:11:00 4.8 Bootstrap Outro 00:01:00 Project 1 - Design a Landing Page 5.1 Landing Page Intro 00:01:00 5.2 Sketch Your Landing Page 00:05:00 5.3 The Top Section 00:16:00 5.4 Polish the Top Section 00:06:00 5.5 Adding Images 00:11:00 5.6 The Main Points Section 00:14:00 5.7 Collecting Emails With an Opt-In Form 00:11:00 5.8 Challenge 00:03:00 5.9 Landing Page Outro 00:02:00 6.1 Business Site Intro 00:01:00 6.2 Sketch Up 00:03:00 6.3 Using Fancy Font Logo 00:07:00 6.4 Carousel Basics 00:10:00 6.5 Carousel Extras 00:09:00 6.6 Text on Images 00:15:00 6.7 Phone Number Icon 00:04:00 6.8 Google Maps 00:13:00 6.9 Font Awesome 00:09:00 6.10 Challenge 00:08:00 6.11 Business Site Outro 00:01:00 Project 2 - Business Website 7.1 Intro 00:01:00 7.2 Portfolio Sketch 00:08:00 7.3 Jumbotron 00:10:00 7.4 Nav Bar 00:24:00 7.5 Panels 00:11:00 7.6 Challenge 00:13:00 7.7 Portfolio Outre 00:01:00 Project 3 - Portfolio 8.1 Hosting 00:01:00 8.2 Bluehost 00:06:00 8.3 Uploading 00:05:00 8.4 Tips 00:11:00 8.5 Hosting Outro 00:01:00

Don't let your emotions rule your life- live like a proactive person. Learn 'What is Counselling & Psychotherapy', 'Treatment by DBT', 'DBT for Psychological Disorders'.

Learn to design, plan, and scale cloud implementations with Google Cloud Platform's BigQuery. This course will walk you through the fundamentals of applied machine learning and BigQuery ML along with its history, architecture, and use cases.

HTML is one of the primary and vital languages you need to get your hands on if you want to pursue a career in the IT industry. The HTML Crash Course is here to provide you with the essential knowledge and ability to work with this programming language. In this comprehensive HTML Crash Course, you will learn about the fundamentals of the HTML programming language. The interactive modules will show you the steps of installing HTML. You will receive detailed lessons on HTML tags, lists, forms etc. In addition, the course will also enrich your knowledge and understanding of HTML entities. From this HTML Crash Course, you will get both a theoretical and practical understanding of HTML. This course is the perfect place to establish a solid foundation in this highly beneficial programming language. You will also receive a valuable certificate after completing the course. Join now and increase your employability in the IT sector. Learning Objectives Familiarise yourself with the core concept of HTML Understand the process of HTML installation Enrich your knowledge of HTML tags, lists, forms etc Learn about HTML entities Who is this Course for? Whether you are a beginner or an existing practitioner, our CPD accredited HTML Crash Course is perfect for you to gain extensive knowledge about different aspects of the relevant industry to hone your skill further. It is also great for working professionals who have acquired practical experience but require theoretical knowledge with a credential to support their skill, as we offer CPD accredited certification to boost up your resume and promotion prospects. Entry Requirement Anyone interested in learning more about this subject should take this HTML Crash Course. This course will help you grasp the basic concepts as well as develop a thorough understanding of the subject. The course is open to students from any academic background, as there is no prerequisites to enrol on this course. The course materials are accessible from an internet enabled device at anytime of the day. CPD Certificate from Course Gate At the successful completion of the course, you can obtain your CPD certificate from us. You can order the PDF certificate for £4.99 and the hard copy for £9.99. Also, you can order both PDF and hardcopy certificates for £12.99. Career path On successfully completing the HTML Crash Course, learners can progress to a more advanced program from our course list. Career opportunities in this field include freelancing or working in-house, within a range of professional settings, with the opportunity to earn a high salary. Related professions in this industry include: Computer programmer Web developers Web designers Graphic designer Course Curriculum Module 01: Setup and Installation Installation And Setup 00:06:00 Module 02: Learning HTML5 HTML Tags 00:17:00 Lists 00:12:00 Forms 00:12:00 Tables 00:05:00 Html Entities 00:07:00 Module 03: MEGA PROJECT MEGA PROJECT 00:02:00 Certificate and Transcript Order Your Certificates or Transcripts 00:00:00

Unlock the power of data with our Basic Data Analysis Course. Learn essential techniques to interpret and draw insights from raw information. Enroll now to kickstart your data analysis journey and make informed decisions in any field.

Description PL/SQL is program units which are composed by the Oracle Database server and stored in the database. The main function of PL/SQL is to hold SQL proclamation within its syntax. If you are interested to know more about SL/SQL function, and how it brings optimal competence in terms of 'procedural language', you may have a look at the Oracle 11g PL/SQL Beginner course. The course is designed in such a way that will assist the learners to know how it works with various strings, numbers, table row record, and error management. It also teaches the learner how to use different key data lexicon to synopsize and maintain the data. The learners will also be able to know about portability, productivity, and manageability of this most widely manipulative language. Assessment: This course does not involve any MCQ test. Students need to answer assignment questions to complete the course, the answers will be in the form of written work in pdf or word. Students can write the answers in their own time. Once the answers are submitted, the instructor will check and assess the work. Certification: After completing and passing the course successfully, you will be able to obtain an Accredited Certificate of Achievement. Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a cost of £24. Who is this Course for? Oracle 11g PL/SQL Beginner is certified by CPD Qualifications Standards and CiQ. This makes it perfect for anyone trying to learn potential professional skills. As there is no experience and qualification required for this course, it is available for all students from any academic background. Requirements Our Oracle 11g PL/SQL Beginner is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Career Path After completing this course you will be able to build up accurate knowledge and skills with proper confidence to enrich yourself and brighten up your career in the relevant job market. Introduction Introduction FREE 00:03:00 Preparing Your Environment Course Setup 00:37:00 Working with Oracle Database Tools Selecting the Appropriate Database Tool 00:31:00 Language Features Understanding PL/SQL 00:18:00 PL/SQL Blocks 00:15:00 Working with SQL Plus 00:11:00 The DECLARE Clause DECLARE Clause Objects 00:16:00 PL/SQL Available Data Types 00:17:00 Declaring Simple Data Types and Assignments 00:12:00 Declaring Complex Data Types and Assignments 00:11:00 Declaring Complex RowTypes and Assignments 00:07:00 Declaring Complex Tables 00:08:00 Declaring Complex Records 00:08:00 Creating and Declaring User-Defined Types 00:09:00 The BEGIN Clause What Can Be Included in the BEGIN Clause 00:07:00 Working with CHAR and VARCHAR2 Variables 00:08:00 Handling String Literals 00:08:00 Working with Numeric Variables 00:07:00 Working with Date Variables 00:06:00 Assigning and Using Boolean Variables 00:08:00 Using Comparison Operators 00:07:00 Using SQL Functions 00:06:00 SQL DML within PL/SQL 00:15:00 Using SELECT 00:07:00 Exceptions and Embedded SQL 00:11:00 Using Sequences 00:14:00 Logic Control and Branching 00:07:00 Using GOTO 00:06:00 Working with LOOPS 00:19:00 Creating and Using the Indefinite Loop 00:07:00 Creating and Using the Conditional Loop 00:09:00 Using Nested Loops 00:12:00 Using the If-Then-Else 00:19:00 Using the CASE Statement 00:18:00 The EXCEPTION Clause What Are the Types of Exceptions 00:06:00 Trapping Exceptions 00:06:00 Identify Exception Details 00:11:00 Creating User-Defined Exceptions 00:11:00 Using SQLCODE and SQLERRM Objects 00:09:00 Understand the Implicit Cursor 00:15:00 Creating User-Defined Events 00:12:00 Explicit Cursors Understanding the Concept and Purpose of Explicit Cursors 00:18:00 Learn about Cursor Attributes 00:10:00 Using the Continue Statement 00:06:00 Working with Updateable Cursors 00:19:00 Creating and Using Cursor Parameters 00:15:00 FORLOOP Cursors 00:07:00 Nested Blocks Understanding Nested Blocks 00:11:00 Difference between Global vs Local Objects and Exceptions 00:13:00 Declared Subprograms Subprograms: How They Differ from Nested Blocks 00:18:00 Conclusion Conclusion 00:04:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

Overview In this age of technology, data science and machine learning skills have become highly demanding skill sets. In the UK a skilled data scientist can earn around £62,000 per year. If you are aspiring for a career in the IT industry, secure these skills before you start your journey. The Complete Machine Learning & Data Science Bootcamp 2023 course can help you out. This course will introduce you to the essentials of Python. From the highly informative modules, you will learn about NumPy, Pandas and matplotlib. The course will help you grasp the skills required for using python for data analysis and visualisation. After that, you will receive step-by-step guidance on Python for machine learning. The course will then focus on the concepts of Natural Language Processing.  Upon successful completion of the course, you will receive a certificate of achievement. This certificate will help you elevate your resume. So enrol today! How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? Anyone with an interest in learning about data science can enrol in this course. It will help aspiring professionals develop the basic skills to build a promising career. Professionals already working in this can take the course to improve their skill sets. Requirements The students will not require any formal qualifications or previous experience to enrol in this course. Anyone can learn from the course anytime from anywhere through smart devices like laptops, tabs, PC, and smartphones with stable internet connections. They can complete the course according to their preferable pace so, there is no need to rush.   Career Path This course will equip you with valuable knowledge and effective skills in this area. After completing the course, you will be able to explore career opportunities in the fields such as Data Analyst Data Scientist Data Manager Business Analyst Course Curriculum 18 sections • 98 lectures • 23:48:00 total length •Welcome & Course Overview6: 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 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 •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 •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 •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 •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 •Pandas Built-in Data Visualization: 00:34:00 •Pandas Data Visualization Exercises Overview: 00:03:00 •Panda Data Visualization Exercises Solutions: 00:13:00 •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): 00:17:00 •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 •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 •Theory: Logistic Regression, conf. mat., TP, TN, Accuracy, Specificityetc.: 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 •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 •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 •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 •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 •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 •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 •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

Overview This comprehensive course on Data Science & Machine Learning with R will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Data Science & Machine Learning with R comes with accredited certification, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this Data Science & Machine Learning with R. It is available to all students, of all academic backgrounds. Requirements Our Data Science & Machine Learning with R is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 10 sections • 69 lectures • 22:07:00 total length •Data Science and Machine Learning Introduction: 00:03:00 •What is Data Science: 00:10:00 •Machine Learning Overview: 00:05:00 •Who is This Course for: 00:03:00 •Data Science and Machine Learning Marketplace: 00:05:00 •Data Science and Machine Learning Job Opportunities: 00:03:00 •Getting Started: 00:11:00 •Basics: 00:06:00 •Files: 00:11:00 •RStudio: 00:07:00 •Tidyverse: 00:05:00 •Resources: 00:04:00 •Unit Introduction: 00:30:00 •Basic Type: 00:09:00 •Vector Part One: 00:20:00 •Vectors Part Two: 00:25:00 •Vectors - Missing Values: 00:16:00 •Vectors - Coercion: 00:14:00 •Vectors - Naming: 00:10:00 •Vectors - Misc: 00:06:00 •Creating Matrics: 00:31:00 •List: 00:32:00 •Introduction to Data Frames: 00:19:00 •Creating Data Frames: 00:20:00 •Data Frames: Helper Functions: 00:31:00 •Data Frames Tibbles: 00:39:00 •Intermediate Introduction: 00:47:00 •Relational Operations: 00:11:00 •Conditional Statements: 00:11:00 •Loops: 00:08:00 •Functions: 00:14:00 •Packages: 00:11:00 •Factors: 00:28:00 •Dates and Times: 00:30:00 •Functional Programming: 00:37:00 •Data Import or Export: 00:22:00 •Database: 00:27:00 •Data Manipulation in R Introduction: 00:36:00 •Tidy Data: 00:11:00 •The Pipe Operator: 00:15:00 •The Filter Verb: 00:22:00 •The Select Verb: 00:46:00 •The Mutate Verb: 00:32:00 •The Arrange Verb: 00:10:00 •The Summarize Verb: 00:23:00 •Data Pivoting: 00:43:00 •JSON Parsing: 00:11:00 •String Manipulation: 00:33:00 •Web Scraping: 00:59:00 •Data Visualization in R Section Intro: 00:17:00 •Getting Started: 00:16:00 •Aesthetics Mappings: 00:25:00 •Single Variable Plots: 00:37:00 •Two Variable Plots: 00:21:00 •Facets, Layering, and Coordinate Systems: 00:18:00 •Styling and Saving: 00:12:00 •Creating with R Markdown: 00:29:00 •Introduction to R Shiny: 00:26:00 •A Basic R Shiny App: 00:31:00 •Other Examples with R Shiny: 00:34:00 •Machine Learning Part 1: 00:22:00 •Machine Learning Part 2: 00:47:00 •Starting a Data Science Career Section Overview: 00:03:00 •Data Science Resume: 00:04:00 •Getting Started with Freelancing: 00:05:00 •Top Freelance Websites: 00:05:00 •Personal Branding: 00:05:00 •Importance of Website and Blo: 00:04:00 •Networking Do's and Don'ts: 00:04:00