2020 Analytics courses

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.

In this course, we'll learn how to visualize trends in temperature data with HTML, CSS, JavaScript, and jQuery. We recommend that you have some background in HTML, CSS, and JavaScript. You don't need to be an expert by any means, but you should have experience building web pages with HTML and CSS, and you should have basic programming skills with JavaScript.

*** Don't Spend More; Spend Smart*** Life Just Got Better This Summer! Get Hard Copy + PDF Certificates + Transcript + Student ID Card + e-Learning App as a Gift - Enrol Now In the ever-evolving world of marketing, staying ahead of the competition is crucial for career success. The Sales and Marketing Training course is designed to provide you with cutting-edge marketing strategies and essential skills needed to thrive in today's competitive market. Whether you want to boost your digital marketing knowledge, improve social media marketing techniques, or master content marketing, this course will help you achieve your goals. Throughout the programme, you'll gain hands-on knowledge of SEO, email marketing, and consumer psychology to enhance your ability to connect with customers and increase sales. Learn how to create targeted marketing campaigns, optimize brand visibility, and analyze market trends to make data-driven decisions that improve performance. This course is ideal for professionals looking to expand their marketing expertise or pursue a career in sales and marketing management. Gain a competitive edge, develop advanced marketing skills, and take your career to new heights. Along with this Sales and Marketing course, you will get 10 premium courses, an original hardcopy, 11 PDF certificates (Main Course + Additional Courses) Student ID card as gifts. This Bundle Consists of the following Premium courses: Course 01: Sales & Selling Management Course Course 02: Sales Negotiation Training Course 03: Telesales Executive Training Course 04: Marketing Fundamentals Course 05: Strategic Planning and Analysis for Marketing Course 06: Digital Marketing Course 07: SEO - Search Engine Optimisation Level 5 Course 08: Retail Management - Level 5 Course 09: Customer Relationship Management Course 10: Sales: Psychology of Customers Course 11: Basic Product Management Course 12: Product Photography Course 13: Commercial Law 2021 Course 14: Public Speaking and Presentation Skill Course Learning Outcomes: Upon completing the Sales and Marketing Training course, you will be able to: Develop and implement effective marketing strategies and sales techniques to drive business growth. Understand and apply the principles of consumer psychology and marketing analytics to influence purchasing decisions and improve sales. Utilise digital marketing tools and techniques, including social media marketing, email marketing, and SEO, to enhance brand visibility and reach. Create and execute compelling content marketing campaigns that engage target audiences and boost conversions. Analyze sales data, marketing performance, and market trends to optimize marketing efforts and improve decision-making processes. Manage customer relationships and improve communication through relationship marketing to increase sales and customer retention. Key Features of the Course: FREE Sales and Marketing Training CPD-accredited certificate Get a free student ID card with Sales and Marketing Training training (£10 applicable for international delivery) Lifetime access to the Sales and Marketing Training course materials The Sales and Marketing Training program comes with 24/7 tutor support Get instant access to this Sales and Marketing Training course Learn Sales and Marketing Training training from anywhere in the world The Sales and Marketing Training training is affordable and simple to understand The Sales and Marketing Training training is an entirely online Description: The Sales and Marketing Training course equips you with the essential skills and knowledge to excel in the dynamic world of marketing. From mastering digital marketing and social media marketing to understanding consumer psychology and content marketing, this comprehensive course covers all aspects of marketing strategies that drive sales and business growth. You will learn how to create impactful marketing campaigns, optimize brand visibility, and analyze market data to make informed decisions. Whether you're looking to advance in your current role or pursue a new career in marketing management, this course will give you the tools to succeed in today’s competitive landscape. Enrol in this Sales and Marketing Training course today and start your journey to becoming a successful marketing professional or sales expert! ★★★ Course Curriculum of Sales and Marketing Training Bundle ★★★ Course 01: Sales & Selling Management Course Module 01: Understanding the Talk Module 02: Getting Prepared to Make the Call Module 03: Creative Openings Module 04: Making Your Pitch Module 05: Handling Objections Module 06: Sealing the Deal Module 07: Following Up Module 08: Setting Goals Module 09: Managing Your Data Module 10: Using a Prospect Board Course 02: Sales Negotiation Training Course 03: Telesales Executive Training Course 04: Marketing Fundamentals Course 05: Strategic Planning and Analysis for Marketing Course 06: Digital Marketing Course 07: SEO - Search Engine Optimisation Level 5 Course 08: Retail Management - Level 5 Course 09: Customer Relationship Management Course 10: Sales: Psychology of Customers Course 11: Basic Product Management Course 12: Product Photography Course 13: Commercial Law 2021 Course 14: Public Speaking and Presentation Skill Course How will I get my Certificate? After successfully completing the course, you will be able to order your CPD Accredited Certificates (PDF + Hard Copy) as proof of your achievement. PDF Certificate: Free Hard Copy Certificate: Free CPD 140 CPD hours / points Accredited by CPD Quality Standards Requirements There is no time limit for completing thiscourse; it can be studied in your own time at your own pace. Career path Elevate your professional journey with Sales and Marketing Training. This comprehensive course opens doors to a wide range of career opportunities in the dynamic world of marketing. Explore these exciting roles: Marketing Manager: £30,000 - £55,000 Digital Marketing Specialist: £25,000 - £45,000 Social Media Marketing Manager: £22,000 - £40,000 SEO Specialist: £24,000 - £42,000 Content Marketing Manager: £28,000 - £50,000 Email Marketing Specialist: £23,000 - £38,000 PPC Marketing Specialist: £26,000 - £42,000 Certificates Digital certificate - Included Hard copy certificate - Included You will get the Hard Copy certificate for the title course (Sales & Selling Management Course) absolutely Free! Other hard-copy certificates are available for £14.99 each. Please Note: The delivery charge inside the UK is £3.99, and the international students must pay a £9.99 shipping cost.

This course takes you through the concepts of Alteryx from scratch. With the help of interesting case studies, you will learn how to use Alteryx for joining datasets, performing union operations, finding and replacing text, sorting and filtering data, and a lot more.

Overview of Managing Fraud Course Fraud management involves identifying illegal activities to stop important information from falling into the wrong hands. This Managing Fraud Course will guide you through the fundamentals of fraud management and its various strategies to mitigate risks and reduce financial losses.  In this Managing Fraud course, you'll walk through a step-by-step process to implement an effective fraud policy for your business. First, the training will educate you about the importance of fraud management and its legal and ethical considerations. Then, it will introduce you to the various types of fraud and different techniques used in fraud detection and prevention. You'll also understand what to include in your fraud response plan and how to maintain regulatory compliance to mitigate risks. Course Preview Learning Outcomes Familiarise yourself with various fraud awareness techniques and tools Understand what is evidence and how to deal with exhibits Gain insights into the fraud risk management process Learn how to implement fraud management strategies to detect and prevent fraud Enrich your knowledge of fraud incident reporting and monitoring Why Take This Course From John Academy? Affordable, well-structured and high-quality e-learning study materials Meticulously crafted engaging and informative tutorial videos and materials Efficient exam systems for the assessment and instant result Earn UK & internationally recognised accredited qualification Easily access the course content on mobile, tablet, or desktop from anywhere, anytime Excellent career advancement opportunities Get 24/7 student support via email Who Should Take this Managing Fraud Course? Whether you're an existing practitioner or an aspiring professional, this course is an ideal training opportunity. It will elevate your expertise and boost your CV with key skills and a recognised qualification attesting to your knowledge. Are There Any Entry Requirements? This Managing Fraud Course is available to all learners of all academic backgrounds. But learners should be aged 16 or over to undertake the qualification. And a good understanding of the English language, numeracy, and ICT will be helpful. Certificate of Achievement After completing this course successfully, you will be able to obtain an Accredited Certificate of Achievement. Certificates & Transcripts can be obtained either in Hardcopy at £14.99 or in PDF format at £11.99. Career Path​ Managing Fraud Course provides essential skills that will make you more effective in your role. It would be beneficial for any related profession in the industry, such as: Fraud Investigator Risk Manager Compliance Officer Forensic Accountant Internal Auditor Financial Crimes Analyst Legal Consultant in Fraud Management Fraud Management Specialist Module 1: Introduction to Fraud Management Introduction to Fraud Management 00:13:00 Module 2: Types of Fraud Types of Fraud 00:10:00 Module 3: Fraud Prevention Techniques Fraud Prevention Techniques 00:14:00 Module 4: Fraud Detection Methods Fraud Detection Methods 00:13:00 Module 5: Unveiling Fraudulent Evidence Unveiling Fraudulent Evidence 00:08:00 Module 6: Responding to Fraud Incidents Responding to Fraud Incidents 00:16:00 Module 7: Investigating Fraud Investigating Fraud 00:09:00 Module 8: Fraud Mitigation and Compliance Fraud Mitigation and Compliance 00:15:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

Dive into the intricate realm of fraud management with our 'Managing Fraud: Strategies for Detection and Prevention Course'. This course offers a comprehensive exploration into the multifaceted world of deceit and its management. Journey through an enlightening curriculum that begins with an initiation to fraud management and culminates with methods to ensure compliance and mitigate fraudulent activities. Equip yourself with the knowledge to pinpoint deception, understand its myriad forms, and respond adeptly, ensuring security and trustworthiness in your professional domain. Learning Outcomes Understand the foundational concepts of fraud management. Identify and differentiate among various forms of fraud. Employ techniques for the prevention and detection of deceitful activities. Discover and interpret evidence of fraudulent conduct. Devise appropriate responses and strategies for fraud incidents and their investigation. Why buy this Managing Fraud: Strategies for Detection and Prevention Course? 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 Who is this Managing Fraud: Strategies for Detection and Prevention Course for? Individuals keen on building a career in fraud management. Businesses wanting to bolster their internal fraud prevention systems. Finance professionals aiming to enhance their knowledge in fraud detection. Legal practitioners seeking insights into investigative techniques for fraud. Compliance officers aiming for proficiency in fraud mitigation strategies. Career path Fraud Investigator: £30,000 - £50,000 Fraud Analyst: £25,000 - £40,000 Compliance Officer: £28,000 - £45,000 Forensic Accountant: £40,000 - £60,000 Risk Management Specialist: £35,000 - £55,000 Anti-Fraud Consultant: £45,000 - £70,000 Prerequisites This Managing Fraud: Strategies for Detection and Prevention Course does not require you to have any prior qualifications or experience. You can just enrol and start learning. This course 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. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Course Curriculum Module 1: Introduction to Fraud Management Introduction to Fraud Management 00:13:00 Module 2: Types of Fraud Types of Fraud 00:10:00 Module 3: Fraud Prevention Techniques Fraud Prevention Techniques 00:14:00 Module 4: Fraud Detection Methods Fraud Detection Methods 00:13:00 Module 5: Unveiling Fraudulent Evidence Unveiling Fraudulent Evidence 00:08:00 Module 6: Responding to Fraud Incidents Responding to Fraud Incidents 00:16:00 Module 7: Investigating Fraud Investigating Fraud 00:09:00 Module 8: Fraud Mitigation and Compliance Fraud Mitigation and Compliance 00:15:00

This BigQuery Conversion course is for users of SQL. We cover the interface and licensing differences and additional capabilities. Highlights of BigQuery. We will cover the general SQL topics ( see our intermediate outline ) and point out where the differences are. You would be able to move to this platform easily.

Overview This comprehensive course on Python for Data Analysis will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Python for Data Analysis 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 Python for Data Analysis. It is available to all students, of all academic backgrounds. Requirements Our Python for Data Analysis 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 19 sections • 99 lectures • 00:08:00 total length •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 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): 00:37:00 •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 •Resources- Python for Data Analysis: 00:00:00

Master Business Analysis skills by enrolling the Business Analysis Advanced Course course. The course covers the essential management and leadership aspects of the analysis role, the analysis of budget and finance, market evaluation, analysing competition and selecting marketing strategies. In spite of these, the course lets you design a business plan and helps you to choose the right staffs for you. Why choose this course Earn an e-certificate upon successful completion. Accessible, informative modules taught by expert instructors Study in your own time, at your own pace, through your computer tablet or mobile device Benefit from instant feedback through mock exams and multiple-choice assessments Get 24/7 help or advice from our email and live chat teams Full Tutor Support on Weekdays Course Design The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of Video lessons Online study materials Mock exams Multiple-choice assessment Certificate of Achievement Endorsed Certificate of Achievement from the Quality Licence Scheme Once the course has been completed and the assessment has been passed, all students are entitled to receive an endorsed certificate. This will provide proof that you have completed your training objectives, and each endorsed certificate can be ordered and delivered to your address for only £119. Please note that overseas students may be charged an additional £10 for postage. CPD Certificate of Achievement from Janets Upon successful completion of the course, you will be able to obtain your course completion e-certificate. Print copy by post is also available at an additional cost of £9.99 and PDF Certificate at £4.99. Endorsement This course and/or training programme has been endorsed by the Quality Licence Scheme for its high-quality, non-regulated provision and training programmes. This course and/or training programme is not regulated by Ofqual and is not an accredited qualification. Your training provider will be able to advise you on any further recognition, for example progression routes into further and/or higher education. For further information please visit the Learner FAQs on the Quality Licence Scheme website. Method of Assessment To successfully complete the course, students will have to take an automated multiple-choice exam. This exam will be online and you will need to score 60% or above to pass the course. After successfully passing the exam, you will be able to apply for Quality Licence Scheme endorsed certificate of achievement. To verify your enhanced skills in the subject, we recommend that you also complete the assignment questions. These can be completed at any time which is convenient for yourself and will be assessed by our in-house specialised tutors. Full feedback will then be given on your current performance, along with any further advice or support.

The PowerBI Formulas course delves into the intricacies of Power Query and Power Pivot in Power BI, focusing on various techniques to enhance data analysis and visualization. Through a series of modules, participants will learn how to effectively use Power Query and Power Pivot to transform, manipulate, and model data for creating insightful reports and dashboards. Learning Outcomes: Master the fundamentals of Power Query and Power Pivot in Power BI. Understand data transformation techniques using Power Query. Explore advanced data modeling with Power Pivot. Learn to create calculated columns and measures. Gain proficiency in using DAX (Data Analysis Expressions) formulas. Apply Power Query and Power Pivot to real-world data scenarios. Utilize data relationships and hierarchies for effective data modeling. Create dynamic visualizations and reports using the transformed data. Why buy this PowerBI Formulas? 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 PowerBI Formulas 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 course for? Business analysts and data analysts seeking to enhance their Power BI skills. Data professionals looking to leverage Power Query and Power Pivot for data analysis. Professionals working with data visualization and reporting. Individuals interested in learning advanced data transformation and modeling techniques. Prerequisites This PowerBI Formulas does not require you to have any prior qualifications or experience. You can just enrol and start learning.This PowerBI Formulas 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 Analyst: Analyze and visualize data to extract meaningful insights. Business Intelligence Analyst: Transform raw data into actionable business insights. Data Scientist: Apply data manipulation and modeling techniques for predictions. Reporting Specialist: Create engaging and informative reports and dashboards. Business Analyst: Use data-driven insights to inform decision-making processes. Course Curriculum PowerBI Formulas power pivot power query - 1 00:01:00 power pivot power query - 2 00:02:00 power pivot power query - 3 00:06:00 power pivot power query - 4 00:07:00 power pivot power query - 5 00:02:00 power pivot power query - 6 00:05:00 power pivot power query - 7 00:05:00 power pivot power query - 8 00:04:00 power pivot power query - 9 00:03:00 power pivot power query - 10 00:02:00 power pivot power query - 11 00:04:00 power pivot power query - 12 00:08:00 power pivot power query - 13 00:04:00 power pivot power query - 14 00:03:00 power pivot power query - 15 00:13:00 power pivot power query - 16 00:03:00 power pivot power query - 17 00:13:00 Assignment Assignment - PowerBI Formulas 00:00:00