543 Data Analyst courses

This video course will teach you the basics of Structured Query Language (SQL), such as writing SQL queries, creating and updating tables, and importing and exporting data from comma separated values (CSV) and Excel files. You'll also learn about the SQL and database skills you need to become a self-sufficient digital analyst or marketer who can extract marketing data from the backend without assistance.

The course helps you learn Snowflake from scratch and explore a few of its important features. You will build automated pipelines with Snowflake and use the AWS cloud with Snowflake as a data warehouse. You will also explore Snowpark to be worked on the data pipelines.

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The aim of the course is to provide learners with an understanding of the fundamental principles and techniques of financial management in the context of health and social care. Specifically, the course will focus on the concepts of double-entry bookkeeping, investment appraisal, and cash flow forecasting. After the successful completion of the course, you will be able to learn the following: The Concept, Characteristics, and Principles of Double-Entry Book-keeping. The Double-entry Bookkeeping Process. The Concepts of Investment Appraisal and its Techniques. The Investment Analysis Techniques. The Concept and Types of Cash Flow Forecasting. This course covers the concepts, principles, and techniques of double-entry bookkeeping, investment appraisal, and cash flow forecasting. It includes an in-depth exploration of the double-entry bookkeeping process, investment analysis techniques, and types of cash flow forecasting. The course aims to equip learners with the necessary skills to document and analyze financial information accurately and effectively. Upon completion of the course, learners will be able to apply double-entry bookkeeping principles, conduct investment appraisals, and prepare cash flow forecasts. The course is designed for individuals who are interested in pursuing a career in finance or accounting within the healthcare industry. This course covers the concepts, principles, and techniques of double-entry bookkeeping, investment appraisal, and cash flow forecasting. It includes an in-depth exploration of the double-entry bookkeeping process, investment analysis techniques, and types of cash flow forecasting. The course aims to equip learners with the necessary skills to document and analyze financial information accurately and effectively. Upon completion of the course, learners will be able to apply double-entry bookkeeping principles, conduct investment appraisals, and prepare cash flow forecasts. The course is designed for individuals who are interested in pursuing a career in finance or accounting within the healthcare industry. VIDEO - Course Structure and Assessment Guidelines Watch this video to gain further insight. Navigating the MSBM Study Portal Watch this video to gain further insight. Documenting and Analysing Financial Information - N Self-paced pre-recorded learning content on this topic. Documenting and Analysing Financial Information Put your knowledge to the test with this quiz. Read each question carefully and choose the response that you feel is correct. All MSBM courses are accredited by the relevant partners and awarding bodies. Please refer to MSBM accreditation in about us for more details. There are no strict entry requirements for this course. Work experience will be added advantage to understanding the content of the course. The certificate is designed to enhance the learner's knowledge in the field. This certificate is for everyone eager to know more and get updated on current ideas in their respective field. We recommend this certificate for the following audience. Health and Social Care Managers Finance Managers in Health and Social Care Healthcare Policy Analysts Healthcare Consultants Health Promotion Specialists Public Health Officials Health Economists Healthcare Data Analysts Medical Social Workers Healthcare Quality Assurance Specialists Average Completion Time 2 Weeks Accreditation 3 CPD Hours Level Advanced Start Time Anytime 100% Online Study online with ease. Unlimited Access 24/7 unlimited access with pre-recorded lectures. Low Fees Our fees are low and easy to pay online.

Overview Uplift Your Career & Skill Up to Your Dream Job - Learning Simplified From Home! Kickstart your career & boost your employability by helping you discover your skills, talents, and interests with our special Data Analysis Course. You'll create a pathway to your ideal job as this course is designed to uplift your career in the relevant industry. It provides the professional training that employers are looking for in today's workplaces. The Data Analysis Course is one of the most prestigious training offered at Skillwise and is highly valued by employers for good reason. This Data Analysis Course has been designed by industry experts to provide our learners with the best learning experience possible to increase their understanding of their chosen field. This Data Analysis Course, like every one of Skillwise's courses, is meticulously developed and well-researched. Every one of the topics is divided into elementary modules, allowing our students to grasp each lesson quickly. At Skillwise, we don't just offer courses; we also provide a valuable teaching process. When you buy a course from Skillwise, you get unlimited Lifetime access with 24/7 dedicated tutor support. Why buy this Data Analysis? Unlimited access to the course forever Digital Certificate, Transcript, and student ID are all included in the price Absolutely no hidden fees Directly receive CPD Quality Standard-accredited qualifications after course completion Receive one-to-one assistance 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 Analysis 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 course for? This Data Analysis course is ideal for Students Recent graduates Job Seekers Anyone interested in this topic People already working in the relevant fields and want to polish their knowledge and skills. Prerequisites This Data Analysis does not require you to have any prior qualifications or experience. You can just enroll and start learning. This Data Analysis was made by professionals and it is compatible with all PCs, Macs, 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 a bonus, you will be able to pursue multiple occupations. This Data Analysis is a great way for you to gain multiple skills from the comfort of your home.   Basic Data Analysis Module 01: Introduction 00:02:00 Module 02: Agenda and Principles of Process Management 00:06:00 Module 03: The Voice of the Process 00:05:00 Module 04: Working as One Team for Improvement 00:04:00 Module 05: Exercise: The Voice of the Customer 00:03:00 Module 06: Tools for Data Analysis 00:07:00 Module 07: The Pareto Chart 00:03:00 Module 08: The Histogram 00:03:00 Module 09: The Run Chart 00:04:00 Module 10: Exercise: Presenting Performance Data 00:05:00 Module 11: Understanding Variation 00:06:00 Module 12: The Control Chart 00:06:00 Module 13: Control Chart Example 00:04:00 Module 14: Control Chart Special Cases 00:06:00 Module 15: Interpreting the Control Chart 00:10:00 Module 16: Control Chart Exercise 00:07:00 Module 17: Strategies to Deal with Variation 00:06:00 Module 18: Using Data to Drive Improvement 00:14:00 Module 19: A Structure for Performance Measurement 00:06:00 Module 20: Data Analysis Exercise 00:06:00 Module 21: Course Project 00:03:00 Module 22: Test your Understanding 00:17:00 Resources Resources - Diploma in Data Analysis Fundamentals Mock Exam Final Exam Assignment Assignment - Diploma in Data Analysis Fundamentals 06:08:00

This is an introductory course on machine learning. The course covers a wide range of topics, from handling a dataset to model delivery. Some prior training in Python programming and basic calculus knowledge will help you get the best out of this course.

This compact crash course teaches learners to optimize their Microsoft Power BI use, gain insights into circular dependency errors and the new DAX functions, and use Power BI template files to enhance data modeling/analysis. The course provides guidance and real-world examples to streamline Power BI projects and achieve data visualization goals effectively.

If you are working on data science projects and want to create powerful visualization and insights as an outcome of your projects or are working on machine learning projects and want to find patterns and insights from your data on your way to building models, then this course is for you. This course exclusively focuses on explaining how to build fantastic visualizations using Python. It covers more than 20 types of visualizations using the most popular Python visualization libraries, such as Matplotlib, Seaborn, and Bokeh along with data analytics that leads to building these visualizations so that the learners understand the flow of analysis to insights.

This course covers Python for data science and machine learning in detail and is for a beginner in Python. You will also learn about core concepts of data science, exploratory data analysis, statistical methods, role of data, challenges of bias, variance and overfitting, model evaluation techniques, model optimization using hyperparameter tuning, grid search cross-validation techniques, and more.

This is a complete crash course about KNIME for beginners. Here, we will learn how to do data cleaning and data preparation without any code, using KNIME. We will also cover data visualization using Tableau and Power BI Desktop. Then we will understand the predictive analytics capabilities of KNIME and finally, cover machine learning in KNIME.