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The "Data Science & Machine Learning, Excel Pivot & Machine Learning with Python" bundle is a comprehensive compilation designed to equip you with the theoretical knowledge necessary for the fast-evolving data-driven world. The three QLS-endorsed courses provide foundational understanding in Data Science, Machine Learning with R, Excel Pivot functionalities, and Machine Learning with Python, thereby setting a strong base. Furthermore, the five CPD QS accredited courses offer a deeper dive into the world of Data Science. Whether it is harnessing Python's power for data science tasks, exploring R programming, mastering statistical techniques, understanding spatial data visualisation in Python, or learning to navigate Google Data Studio for Data Analytics, this bundle has you covered. With this comprehensive learning experience, gain the theoretical insight needed to navigate and succeed in the dynamic field of data science. CPD 250 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Individuals interested in theoretical concepts of Data Science and Machine Learning. Professionals looking to enhance their knowledge in Excel Pivot Tables and Charts. Aspiring data scientists who want to learn Python and R programming for data science. Anyone seeking to understand data visualisation and analytics through Python and Google Data Studio. Career path Data Scientist: Leveraging data for actionable insights (£40,000 - £90,000 per annum). Machine Learning Engineer: Designing and implementing machine learning systems (£50,000 - £90,000 per annum). Excel Analyst: Using Excel for data analysis and visualisation (£30,000 - £60,000 per annum). Python Developer: Developing applications using Python (£40,000 - £80,000 per annum). Certificates Digital certificate Digital certificate - Included Hard copy certificate Hard copy certificate - Included
Duration 2 Days 12 CPD hours This course is intended for This course is designed for people who need output from a database. In some cases, database programs have limited reporting tools, or tools that are not accessible. Learners may or may not have programming or SQL experience. Overview In this course, you will connect to a database to extract data and present it as a report. You will: Identify the elements of the Crystal Reports interface. Create and modify a basic report. Use formulas to calculate and filter data. Build a parameterized report. Group report data. Enhance a report. Create a report using data from an Excel workbook. Distribute data. In this course, students will create a basic report by connecting to a database and modifying the report's presentation. 1 - EXPLORING THE CRYSTAL REPORTS INTERFACE Topic A: Explore Crystal Reports Topic B: Use Crystal Reports Help Topic C: Customize Report Settings 2 - WORKING WITH REPORTS Topic A: Create a Report Topic B: Modify a Report Topic C: Display Specific Report Data Topic D: Work with Report Sections 3 - USING FORMULAS IN REPORTS Topic A: Create a Formula Topic B: Edit a Formula Topic C: Filter Data by Using a Formula Topic D: Work with Advanced Formulas and Functions Topic E: Handle Null Values 4 - BUILDING PARAMETERIZED REPORTS Topic A: Create a Parameter Field Topic B: Use a Range Parameter in a Report Topic C: Create a Prompt 5 - GROUPING REPORT DATA Topic A: Group Report Data Topic B: Modify a Group Report Topic C: Group by Using Parameters Topic D: Create a Parameterized Top N Report 6 - ENHANCING A REPORT Topic A: Format a Report Topic B: Insert Objects in a Report Topic C: Suppress Report Sections Topic D: Use Report Templates 7 - CREATING A REPORT FROM EXCEL DATA Topic A: Create a Report Based on Excel Data Topic B: Modify a Report Generated from Excel Data Topic C: Update Data in a Report Based on Excel Data 8 - DISTRIBUTING DATA Topic A: Export Data Topic B: Create Mailing Labels 9 - APPENDIX Appendix A: Setting Up and Configuring Data Sources Appendix B: Using Report Processing Techniques Appendix C: Using Functions in Formulas
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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.
Enroll today and gain the Excel modelling skills needed for corporate finance roles, investment analysis, business planning, and data-driven decision making. 2+ Hours of Video 4+ Hours to Complete10+ Interactive Exercises1 Recognised Certificate Course Overview Our comprehensive Excel Financial Modelling program teaches the essential Excel skills needed to build flexible and dynamic financial models. Financial modelling is a vital skill for business analysts, investment bankers, corporate financiers, and other finance professionals. Through step-by-step video lessons and over 30 hands-on exercises, this course will teach you Excel best practices to analyse financial data, forecast business performance, and evaluate strategic decisions. The self-paced online format is ideal for busy professionals looking to expand their financial analysis skillset. With over 7 hours of content, our program covers everything you need to become an expert in using Excel to build financial models. “I was previously unsure of all the financial jargon and concepts, now I feel I have taken steps towards getting the big picture of finance. I really liked the Excel web integration!” Rachel Crawford Course Highlights Time Value of Money Principles and Calculations Net Present Value and Internal Rate of Return Metrics Calculating Averages and Statistical Measures Understanding and Measuring Financial Risk 16+ Practice Exercises and Applications Certificate Upon Successful Course Completion