4041 Analyst courses in Fraserburgh delivered Online

Level 5 QLS Endorsed Diploma | 150 CPD Points | +Gifts: QLS Certificate + PDF Certificate | 24/7 Learner Support

Overview This comprehensive course on Business Analystics for Beginners Using SASS will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Business Analystics for Beginners Using SASS comes with accredited certification from CPD, 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 Business Analystics for Beginners Using SASS. It is available to all students, of all academic backgrounds. Requirements Our Business Analystics for Beginners Using SASS 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 Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 13 sections • 73 lectures • 08:10:00 total length •SAS Introduction: 00:07:00 •Introduction to SAS Program: 00:05:00 •Read SAS Dataset: 00:09:00 •Practice Read Dataset: 00:08:00 •Practical Example on Read Dataset: 00:02:00 •Introduction to SAS Dataset: 00:12:00 •SAS Dataset Practical Example: 00:07:00 •SAS Dataset Practical Program: 00:06:00 •DateValue: 00:03:00 •SAS Formats Part 1: 00:13:00 •SAS Formats Part 2: 00:09:00 •Reading Excel Worksheets: 00:05:00 •Reading Excel Worksheet Example: 00:11:00 •Date Format Example: 00:06:00 •Raw Data File Standard Part 1: 00:09:00 •Raw Data File Standard Part 2: 00:08:00 •Raw Data File Standard Example: 00:06:00 •Raw Data File Non Standard: 00:07:00 •Raw Data File Non Standard Example: 00:06:00 •Length Statement: 00:02:00 •Compilation Execution: 00:04:00 •Heading: 00:01:00 •Dataerrors: 00:05:00 •Data Errorsz Example: 00:03:00 •Validate Data Procfreq: 00:05:00 •Validate Data Procpront: 00:07:00 •Validate Data Peocmeans: 00:05:00 •Dat Constant: 00:07:00 •Assignment Statement: 00:09:00 •If Then Statement: 00:09:00 •If Then Do End Statement: 00:09:00 •Diff Where and If Statement: 00:02:00 •Keep Drop: 00:08:00 •Keep Drop Example: 00:04:00 •Append: 00:09:00 •Append Examples part 1: 00:09:00 •Append Examples part 2: 00:07:00 •Concatenate: 00:12:00 •Merge: 00:06:00 •Merge One to One: 00:07:00 •Merge One to Many: 00:04:00 •Merge Non Match: 00:04:00 •Global Statements: 00:09:00 •Global Statements Examples Part 1: 00:08:00 •Global Statements Examples Part 2: 00:06:00 •Title n Foot Note: 00:05:00 •Title n Foot Note Example: 00:08:00 •By Statement: 00:08:00 •Multiple Where Stament: 00:03:00 •ODS: 00:07:00 •ODS Example: 00:04:00 •Sas Date Function: 00:10:00 •Sas Date Function Example: 00:08:00 •Sas Functions Part 1: 00:10:00 •Sas Functions Part 2: 00:08:00 •Sas Functions: 00:07:00 •Sas Functions Example Part 1: 00:07:00 •Sas Functions Example Part 2: 00:09:00 •Multiple SAS Datasets Part 1: 00:05:00 •Multiple SAS Datasets Part 2: 00:02:00 •Multiple SAS Datasets Example: 00:09:00 •Select Group: 00:09:00 •Select Group Example: 00:08:00 •Do Loop Part 1: 00:07:00 •Do Loop Part 2: 00:06:00 •Do Loop Example: 00:07:00 •Array Part 1: 00:05:00 •Array Part 2: 00:08:00 •Array DoLoop: 00:06:00 •ArrayTemp: 00:05:00 •Array Example: 00:10:00 •Sas Statement Part 1: 00:04:00 •Sas Statement Part 2: 00:05:00

Microsoft Power BI Masterclass 2021 Course Overview: The "Microsoft Power BI Masterclass 2021" provides learners with the skills to become proficient in data analysis and visualization using Power BI. This comprehensive course covers the core functionalities of Power BI, from data preparation and transformation to creating impactful reports and dashboards. Learners will gain valuable insights into data modelling, visualisation, and the use of DAX for advanced calculations. By the end of the course, participants will be able to apply their knowledge to real-world projects, improving their ability to communicate data-driven insights effectively. This course is ideal for professionals and beginners who want to leverage Power BI to unlock the potential of their data. Course Description: This masterclass delves into the essential features of Microsoft Power BI, guiding learners through every stage of data analysis. Starting with project setup and data transformation in the Query Editor, the course progresses to advanced topics such as DAX functions and data storytelling. Learners will explore how to build data models, create dashboards, and employ Python in Power BI to enhance their reports. The course also covers Power BI Service for cloud-based analytics, row-level security for data protection, and integrating additional data sources. With a focus on empowering users to communicate insights clearly, the course ensures learners gain the expertise to manage data efficiently, make informed decisions, and stay up to date with evolving tools and features. Microsoft Power BI Masterclass 2021 Curriculum: Module 01: Introduction Module 02: Preparing our Project Module 03: Data Transformation - The Query Editor Module 04: Data Transformation - Advanced Module 05: Creating a Data Model Module 06: Data Visualization Module 07: Power BI & Python Module 08: Storytelling with Data Module 09: DAX - The Essentials Module 10: DAX - The CALCULATE function Module 11: Power BI Service - Power BI Cloud Module 12: Row-Level Security Module 13: More data sources Module 14: Next steps to improve & stay up to date (See full curriculum) Who is this course for? Individuals seeking to enhance their data analysis skills. Professionals aiming to advance their data visualization expertise. Beginners with an interest in data science or business analytics. Business analysts or data professionals looking to upskill in Power BI. Career Path: Data Analyst Business Intelligence Analyst Data Scientist Power BI Developer Reporting Analyst Data Visualisation Expert

Level 7 QLS Endorsed Diploma | 180 CPD Points | +Gifts: QLS Certificate + PDF Certificate | 24/7 Learner Support

Develop a deep understanding of electricity pricing and marginal cost analysis with EnergyEdge's virtual instructor-led training course. Enroll now for a rewarding learning journey!

Course Overview: This comprehensive course offers learners a thorough understanding of swing trading, combining foundational knowledge with advanced techniques to succeed in the financial markets. It covers the principles of technical analysis, swing trading strategies, and market analysis, providing a complete framework for effective trading. By the end of the course, learners will be equipped to make informed decisions, understand market trends, and implement strategies with confidence. This course is ideal for individuals seeking to develop a solid understanding of swing trading, whether they are new to the field or looking to refine their existing skills. Course Description: In this course, learners will explore key swing trading concepts, including chart reading, market trends, and risk management techniques. Topics such as technical indicators, trading strategies, and timing the market will be covered in depth. Learners will develop a structured approach to market analysis and learn how to make informed decisions. The course is designed to provide a well-rounded understanding of swing trading, from basic theory to advanced strategies, enabling participants to confidently navigate the financial markets and make sound trading decisions. Course Modules: Module 01: Introduction Module 02: Intro to Swing Trading Module 03: Technical Analysis 101 Module 04: Swing Trading Strategy & Analysis (See full curriculum) Who is this course for? Individuals seeking to understand swing trading fundamentals. Professionals aiming to enhance their trading strategies and market analysis skills. Beginners with an interest in financial markets and trading. Anyone wanting to gain a deeper understanding of technical analysis and trading strategies. Career Path Swing Trader Technical Analyst Investment Advisor Market Researcher Financial Analyst

Workplace Productivity Training: Thrive in the UK's Dynamic Workforce! Employee productivity is crucial for organisational success in today's fast-paced and demanding work environment. This comprehensive online Workplace Productivity Training course provides proven strategies and techniques to boost workplace productivity. Learn how to organise, communicate, manage time, resolve conflicts, and maintain health and wellbeing effectively. With these essential workplace skills, you'll be able to accomplish more each day, deliver better results, and advance your career. Join over 1,000 professionals who have completed this top-rated productivity training and seen tangible improvements in their work performance, focus, and impact. Enrol now and gain the skills to work smarter, maximise your potential, and become a highly productive employee. Invest in 'Workplace Productivity Training' today and unlock your potential to thrive in the UK's dynamic workforce. You will Learn The Following Things: Discover actionable strategies to maximise your output and minimise time wastage. Master organisational skills to conquer clutter and prioritise tasks effectively. Build compelling communication skills for confident collaboration and conflict resolution. Tame time management with practical techniques to meet deadlines and maintain work-life balance. Navigate workplace conflicts with assertiveness and emotional intelligence. Cultivate a culture of health, safety, and wellbeing within your organisation. Develop resilience against stress and anxiety, enhancing your mental wellbeing at work. This course covers the topic you must know to stand against the tough competition. The future is truly yours to seize with this Workplace Productivity Training. Enrol today and complete the course to achieve a certificate that can change your career forever. Details Perks of Learning with IOMH One-to-one support from a dedicated tutor throughout your course. Study online - whenever and wherever you want. Instant Digital/ PDF certificate 100% money back guarantee 12 months access Process of Evaluation After studying the course, an MCQ exam or assignment will test your skills and knowledge. You have to get a score of 60% to pass the test and get your certificate. Certificate of Achievement After completing the Workplace Productivity Training course, you will receive your CPD-accredited Digital/PDF Certificate for £5.99. To get the hardcopy certificate for £12.99, you must also pay the shipping charge of just £3.99 (UK) and £10.99 (International). Who Is This Course for? Ambitious professionals are seeking to streamline their workdays and climb the career ladder. Individuals are looking to build effective communication skills for a seamless collaborative environment. Anyone wanting to conquer stress and anxiety, fostering a healthy and balanced work-life harmony. Team leaders and managers aim to optimise the performance of their teams. Employees strive to adapt to new technologies and work practices while maintaining peak productivity. Requirements There is no prerequisite to enrol in this course. You don't need any educational qualification or experience to enrol in the Workplace Productivity Training course. Do note: you must be at least 16 years old to enrol. Any internet-connected device, such as a computer, tablet, or smartphone, can access this online course. Career Path Business Analyst: £30K to 55K/year. Project Manager: £35K to 65K/year. HR Manager: £38K to 70K/year. Marketing Manager: £32K to 58K/year. Sales Manager: £35K to 60K/year Course Curriculum Module 01: Ways to Improve Workplace Productivity Ways to Improve Workplace Productivity 00:39:00 Module 02: Organisational Skills to Improve Productivity Organisational Skills to Improve Productivity 00:21:00 Module 03: Productive Communication Skills in the Workplace Productive Communication Skills in the Workplace 00:27:00 Module 04: Time Management Time Management 00:35:00 Module 05: Conflict Management Conflict Management 00:14:00 Module 06: Health, Safety and Wellness in the Workplace Health, Safety and Wellness at Workplace 00:27:00 Module 07: Managing Stress and Coping Anxiety in the Workplace Managing Stress and Coping Anxiety in the Workplace 00:26:00 Assignment Assignment - Workplace Productivity Training 00:00:00

Level 7 QLS Endorsed Diploma | 180 CPD Points | +Gifts: QLS Certificate + PDF Certificate | 24/7 Learner Support

Start a thrilling journey into the digital world of cryptocurrencies with our comprehensive course, 'Cryptocurrency: Wallets, Investing & Trading'. Imagine a future where you confidently navigate the cryptocurrency market, understand the intricacies of cryptocurrency prices, and keep abreast of the latest cryptocurrency news. This course offers a deep dive into the exciting realm of digital currencies, from the basics of 'what is cryptocurrency' to the complexities of trading and investing strategies. Delve into the heart of cryptocurrencies, exploring various aspects like cryptocurrency wallets, investment tactics, and the dynamic nature of cryptocurrency prices live. Whether grasping the fundamentals of pi cryptocurrency or mastering the art of trading, our curriculum is meticulously designed to equip you with a robust understanding of the digital currency world. As the topic continues to revolutionise the financial landscape, this course positions you at the forefront of this digital revolution, turning you into an astute investor and trader. Completing this course doesn't just end with knowledge gain; it's the start of a journey into a world where digital currencies like Bitcoin, Ethereum, and many others play pivotal roles. Stay updated with cryptocurrency news and market trends, learn to analyse cryptocurrency price fluctuations, and make informed decisions. Whether for personal interest or professional development, this course is your gateway to mastering the world of cryptocurrencies. Learning Outcomes: Acquire a thorough understanding of its fundamentals, including its history, technology, and different types. Learn effective strategies for purchasing and investing in cryptocurrencies, maximising potential returns. Master the skills of setting up and managing cryptocurrency wallets, ensuring safe storage of digital assets. Gain proficiency in trading, including technical analysis, reading candlestick charts, and applying trading strategies. Understand the evolving landscape of cryptocurrencies and stay updated with the latest trends and developments. Why buy this Cryptocurrency: Wallets, Investing & Trading? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success. Certification After studying the course materials of the Cryptocurrency: Wallets, Investing & Trading there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for free. Original Hard Copy certificates need to be ordered at an additional cost of £8. Who is this Cryptocurrency: Wallets, Investing & Trading course for? Individuals interested in diving into the digital currency space, seeking a solid foundation in cryptocurrency. Investors looking to diversify their portfolios with digital currencies. Finance professionals aiming to expand their expertise into the growing field of cryptocurrency. Tech enthusiasts eager to understand the mechanics behind cryptocurrencies and their applications. Anyone curious about digital currencies and looking to stay informed about the dynamic cryptocurrency market. Prerequisites This Cryptocurrency: Wallets, Investing & Trading does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Cryptocurrency: Wallets, Investing & Trading 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 Cryptocurrency Analyst: £40,000 - £60,000 Per Annum Blockchain Developer: £50,000 - £70,000 Per Annum Trader: £45,000 - £65,000 Per Annum Digital Currency Advisor: £35,000 - £55,000 Per Annum Compliance Officer for Cryptocurrencies: £30,000 - £50,000 Per Annum Content Writer: £25,000 - £40,000 Per Annum Course Curriculum Section 01: Welcome to the Course! Cryptocurrency | Welcome to the Course 00:03:00 Course Agenda | What We Will Cover 00:01:00 Section 02: Introduction to Cryptocurrency Introduction | Why Cryptocurrency? 00:04:00 Cryptocurrency & Blockchain Essentials 00:03:00 Cryptocurrency | Key Events from 2017 00:05:00 The Future of Blockchain Technology & Crypocurrency 00:04:00 Section 03: Purchase Cryptocurrency | How to Purchase Any Cryptocurrency Purchase Cryptocurrency | Section Overview 00:03:00 Create Your Coinbase Account | Cryptocurrency Exchange 00:04:00 Make Your First Cryptocurrency Purchase | Coinbase Tools & Features 00:07:00 Coinbase Mobile App | Download & Review 00:05:00 How to Purchase Alt-coins | Other Cryptocurrency Exchanges Overview 00:02:00 Bitfinex | Cryptocurrency Exchange Platform Overview 00:03:00 Bittrex | Cryptcurrency Exchange Platform Overview 00:05:00 Kraken | Cryptocurrency Exchange Platform Overview 00:03:00 Binance | Cryptocurrency Exchange Platform Overview 00:03:00 Bitcoin ATM | How to Purchase Bitcoin from A Bitcoin ATM 00:08:00 Make A Purchase Using Bitcoin | How to Use Cryptocurrency 00:05:00 Section 04: Cryptocurrency Wallets & Storage | How to Setup & Add Cryptocurrency to Wallets Cryptocurrency Wallets | Section Overview 00:03:00 Online Wallets | Best For Purchasing & Trading Cryptocurrency 00:02:00 Hardware Wallets | Long Term Storage & Large Amounts of Cryptocurrency 00:12:00 Desktop Wallets | Manage Your Cryptocurrency Portfolio on Your Desktop 00:07:00 Mobile Wallets | Simple & Easy Way to Store Cryptocurrency 00:08:00 Paper Wallets | Free Option to Securely Store Cryptocurrency 00:07:00 Section 05: Cryptocurrency Investing | Investing Strategies & Tips for Cryptocurrency Cryptocurrency Investing Strategies | Section Overview 00:05:00 Dollar Cost Averaging (DCA) | Averaging Into Positions 00:04:00 Contrarian Investing | Using the RSI to Buy 'The Dips' 00:03:00 Diversification | Diversify Your Portfolio 00:03:00 Support Levels | Finding Support Levels & Setting Price Alerts 00:05:00 Just HODL It! | Strategy of 'HODLing on For Dear Life' 00:03:00 Long Term Storage Options | Best Wallets for Cryptocurrency Investing 00:02:00 Investor Terminology | Slang & Terminology Used By Cryptocurrency Investors 00:03:00 Section 06: Cryptocurrency Trading | Technical Analysis, Candlestick Charts & Strategies How to Trade Cryptocurrency | Section Overview 00:03:00 Top Mistakes Made By New Traders | Avoid These! 00:02:00 Technical vs Fundamental Trading | Trading Styles Review 00:04:00 Technical Analysis for Cryptocurrency | Introduction to Technical Analysis 00:03:00 Candlestick Charts | How to Read & Understand Candlestick Charts 00:08:00 Indicators & Overlays | Candlestick Chart Technical Analysis 00:06:00 How to Place Trades on Trading Exchanges | Transfer & Trade Cryptocurrency 00:10:00 Moving Averages | Moving Average Crossover Strategy for Trading 00:05:00 Bollinger Bands | Using Bollinger Bands for Trading & Measuring Volatility 00:05:00 Support & Resistance Levels | Finding Support & Resistance Levels For Trading 00:03:00 MACD | Using the Moving Average Convergence/ Divergence Oscillator for Trading 00:04:00 RSI (Relative Strength Index) | Finding Overbought & Oversold Entry Points 00:03:00 Crypto Stocks & ETFs | Trade Cryptocurrency Volatility with Stocks & ETFs 00:05:00 Section 07: BONUS SECTION: Steemit | How to Get Started on Steemit Bonus Lecture 00:14:00 Assignment Assignment - Cryptocurrency: Wallets Investing & Trading 00:00:00

Overview In the era where information is abundant and decisions are driven by data, have you ever pondered, 'what is machine learning?' or 'what is data science?' Dive into the realm of 'Data Science & Machine Learning with R from A-Z,' a comprehensive guide to unravel these complexities. This course effortlessly blends the foundational aspects of data science with the intricate depths of machine learning algorithms, all through the versatile medium of R. As the digital economy booms, the demand for machine learning jobs continues to surge. Equip yourself with the proficiency to navigate this dynamic field and transition from being an inquisitive mind to a sought-after professional in the space of data science and machine learning with R. Learning Outcomes: Understand the foundational concepts of data science and machine learning. Familiarise oneself with the R environment and its functionalities. Master data types, structures, and advanced techniques in R. Acquire proficiency in data manipulation and visual representation using R. Generate comprehensive reports using R Markdown and design web applications with R Shiny. Gain a thorough understanding of machine learning methodologies and their applications. Gain insights into initiating a successful career in the data science sector. Why buy this Data Science & Machine Learning with R from A-Z course? 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 Data Science & Machine Learning with R from A-Z there will be a written assignment test which you can take either during or at the end of the course. 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 Data Science & Machine Learning with R from A-Z course for? This course is ideal for Individuals keen on exploring the intricacies of machine learning and data science. Aspiring data analysts and scientists looking to specialise in Machine Learning with R. IT professionals aiming to diversify their skill set in the emerging data-driven market. Researchers seeking to harness the power of R for data representation and analysis. Academics and students aiming to bolster their understanding of modern data practices with R. Prerequisites This Data Science & Machine Learning with R from A-Z does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Data Science & Machine Learning with R from A-Z 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 Data Scientist - Average salary range: £35,000 - £70,000 Per Annum Machine Learning Engineer - Average salary range: £50,000 - £80,000 Per Annum Data Analyst - Average salary range: £28,000 - £55,000 Per Annum R Developer - Average salary range: £30,000 - £60,000 Per Annum R Shiny Web Developer - Average salary range: £32,000 - £65,000 Per Annum Machine Learning Researcher - Average salary range: £40,000 - £75,000 Per Annum Course Curriculum Data Science and Machine Learning Course Intro 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 with R 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 Data Types and Structures in R 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 R 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 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 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 Reports with R Markdown Creating with R Markdown 00:29:00 Building Webapps with R Shiny Introduction to R Shiny 00:26:00 A Basic R Shiny App 00:31:00 Other Examples with R Shiny 00:34:00 Introduction to Machine Learning Machine Learning Part 1 00:22:00 Machine Learning Part 2 00:47:00 Starting A Career in Data Science 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 Assignment Assignment - Data Science & Machine Learning with R 00:00:00