Free Online Data Analysis Courses and Certifications 2024
Data Analysis is the process of examining, transforming and modelling data to discover useful information, suggest conclusions and support decision-making. It is used in many fields such as business, finance, economics, engineering and science. People with an interest in data analysis can pursue courses in data science, machine learning, artificial intelligence and statistics.
Popular Courses
This course is the perfect introduction to Data Analysis for those looking to start a career in the field. It covers the role of a Data Analyst, the tools used, and the skills and responsibilities required. You will learn about the data ecosystem, Big Data platforms, and the fundamentals of the data analysis process. With the help of data experts, you will gain tips and advice to start your career. The final project will test your knowledge and provide a real-world scenario of data analysis tasks. No prior experience is necessary. Start your journey into Data Analysis today!
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This Google Data Analytics Capstone course is the eighth course in the Google Data Analytics Certificate. It provides learners with the opportunity to complete an optional case study, which will help prepare them for the data analytics job hunt. Learners will be guided by current Google data analysts to learn how to ask questions, prepare, process, analyze, visualize and act on data from a chosen analytics-based scenario. They will also gain valuable job hunt skills such as common interview questions and responses, materials to build a portfolio online, and more. By the end of this course, learners will be equipped to apply for introductory-level jobs as data analysts with no previous experience necessary. Sign up now to learn the benefits and uses of case studies and portfolios in the job search, explore real world job interview scenarios, and complete your own case study for your portfolio.
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This mini-course is the perfect opportunity to demonstrate your foundational Python skills for working with data. You will assume the role of a Data Scientist or Data Analyst and be provided with a real-world data set and scenario to identify patterns and trends. You will use libraries such as Pandas and Beautiful Soup within a Jupyter Notebook to extract data, web scrape, visualize data and create a dashboard. Upon completion, you will have an impressive project to add to your job portfolio. Pre-requisite: Python for Data Science AI and Development course from IBM is a must for this project course. Don't miss out on this chance to showcase your Python proficiency and take your data science skills to the next level!
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This course provides an introduction to the popular tools used by Data Science professionals. It covers the Data Scientist's tool kit, including libraries and packages, data sets, machine learning models, kernels, and open source, commercial, big data, and cloud-based tools. Through hands-on experience, learners will develop skills for working with these tools, including Jupyter Notebooks, JupyterLab, RStudio IDE, Git, GitHub, and Watson Studio. At the end of the course, learners will create a final project with a Jupyter Notebook, demonstrating their proficiency in preparing a notebook, writing Markdown, and sharing their work with peers. With the tools hosted in the cloud on Skills Network Labs, learners will be able to test each tool and follow instructions to run simple code in Python, R, or Scala.
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This Applied Data Science Capstone course is the perfect way to demonstrate your data science and machine learning skills. You will assume the role of a Data Scientist working for a startup competing with SpaceX, and use the Data Science methodology to predict if the first stage of the SpaceX Falcon 9 rocket will land successfully. You will use the skills you have learnt in previous courses to collect, wrangle, analyse, visualise and model data, and report your results to stakeholders. This course is the perfect way to add a project to your portfolio to showcase to employers.
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This Data Analytics course is designed to help you understand the fundamentals of data analytics and its applications. You will learn the basics of data analytics, including data collection, data analysis, data visualization, and data interpretation. You will also learn how to use various tools and techniques to analyze data and draw meaningful insights. By the end of this course, you will be able to apply data analytics to solve real-world problems.
This Data Analytics Full Course 2022 from Simplilearn is the perfect way to get started with data analytics. It covers the fundamentals of data analytics, from data collection to data interpretation, and provides hands-on experience with various tools and techniques. By the end of the course, you will be able to apply data analytics to solve real-world problems. Get started today and become a data analytics expert!
Learn MoreThis Data Analytics Full Course 2022 from Simplilearn is the perfect way to get started with data analytics. It covers the fundamentals of data analytics, from data collection to data interpretation, and provides hands-on experience with various tools and techniques. By the end of the course, you will be able to apply data analytics to solve real-world problems. Get started today and become a data analytics expert!
Are you considering a career change and wondering if data analytics is the right fit for you in 2023? CareerFoundry's free data analytics short course is the perfect place to start. Tom Gadsby, our senior data scientist, has prepared six questions to help you decide if data analytics is the right career move for you. He also explains why data analytics is a great choice for 2023, with competitive salaries, a growing job market, the opportunity to make an impact, and the variety of roles available. Sign up for the free course today and find out if data analytics is the right career for you.
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This course is perfect for anyone who wants to learn the fundamentals of data analysis on Excel in a short amount of time. With the 7-day free trial, you can get started right away and learn all the basics of data analysis in just 10 minutes. Sign up now and start your journey to becoming a data analysis expert!
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Are you looking to become a successful trader? If so, this is the only technical analysis video you will ever need! Steven Hart, a self-made professional trader and founder of The Trading Channel, is offering 500 new or struggling traders the opportunity to learn the science of trading and psychology. With this course, you will learn how to correctly implement technical analysis in your trading, understand candlestick charts, identify powerful support and resistance, and more. Don't miss out on this amazing opportunity to become a profitable trader!
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Discover the basics of statistical thinking and learn how to use R to answer real-world questions with UT701x: Foundations of Data Analysis. This archived course consists of instructional videos, guided questions, and hands-on Labs to help you understand the concepts of Descriptive Statistics, Modeling, and Inferential Statistical Tests. With no specific technology requirements, you can explore this course in a self-paced fashion and gain the skills to interpret and use data to answer your own questions.
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This course provides an introduction to computational methods for data analysis. Students will learn exploratory and objective data analysis techniques, and gain a brief review of statistical methods and their computational implementation. Topics covered include time series analysis, spectral analysis, filtering methods, principal component analysis, orthogonal mode decomposition, and image processing and compression. With this course, students will gain the skills to effectively analyze data and make informed decisions.
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Data analytics in health care is revolutionizing the way we diagnose, treat and cure diseases. Our course will show you how to apply data analytics to big data to improve health and health care. We'll cover medical approaches, data mining, and entrepreneurship, so you can spot opportunities and develop a business plan. Learn how to use data science to create societal value and launch your own startup. Join us and make an impact on improving care, outcomes and quality of life.
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Learn how to use R to explore and analyze data sets, and gain the skills to become a data analyst.
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Discover the power of data analysis with Foundations of Data Analysis - Part 1: Statistics Using R. Learn the basics of statistical thinking, use R and hands-on Labs to answer questions of interest, and interpret findings to develop meaningful conclusions. With instructional videos, guided questions, tutorial videos, Pre-Labs, Labs, and wrap-up questions, you'll gain the skills to use basic statistical techniques to answer your own questions about your own data. Join us and learn how to look at the world around us.
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Learn to use PySpark to analyze big data and gain the skills to become a data scientist. Enroll now and start your journey to becoming a data scientist!
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Discover the fundamentals of data analytics with this course! Learn to use spreadsheets, SQL queries, and Python programming to manipulate data, and Tableau to visualize data patterns and trends. No prior marketing or data analysis experience is required, but basic internet navigation skills and a computer with strong internet connection are necessary. Perfect for those who want to learn the basics of data analytics.
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Frequently Asked Questions and Answers
Q1: How to start in data analysis?
The Data Analysis Process in 7 Steps: Begin your journey into data analysis by setting clear objectives. Gather data from a variety of sources and clean it to ensure accuracy. Utilize data analysis tools to integrate the data and analyze it. Visualize the data to gain insights and draw conclusions. Finally, use the results to inform your decisions and strategies. With these steps, you can effectively analyze data and make informed decisions.
Q2: What are the basics of data analysis?
Data analysis is a powerful tool for businesses to gain insight into their operations and make informed decisions. It involves a range of processes such as data cleansing, transforming, inspecting and modelling to uncover hidden patterns and trends in data. This can be used to perform market analysis, identify opportunities for growth, and generate reports to help inform strategic decisions. Additionally, data analysis can be used to improve business processes, identify areas of inefficiency, and develop strategies for improvement.
Q3: What Data Analysis courses can I find on AZ Class?
On this page, we have collected free or certified 753 Data Analysis online courses from various platforms. The list currently only displays up to 50 items. If you have other needs, please contact us.
Q4: Can I learn Data Analysis for free?
Yes, If you don’t know Data Analysis, we recommend that you try free online courses, some of which offer certification (please refer to the latest list on the webpage as the standard). Wish you a good online learning experience!
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