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Free Data Analytics Courses
Enrol in our free data analytics courses and up skill yourself with data analysis, visualization, and statistical analysis. Start now to earn your certificate and advance your professional journey as a data analyst.
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Paid Degree & Certificate Programs
Explore more on Data Analytics and its various methods on Great Learning. Explore more on the best Data Science programs. Enroll in top-rated Degree and PG programs of your interest and get hold of a certificate of completion that helps you grab better job opportunities.
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University of Texas - McCombs
PG Program in Data Science and Business Analytics7 Months · Online · Weekend
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MIT Professional Education
Applied Data Science Program12 Weeks · Live Virtual · Weekdays & Weekend
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Popular Upskilling Programs
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University of Texas - McCombs
PG Program in Artificial Intelligence and Machine Learning7 Months · Online · Weekend
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MIT Professional Education
No Code AI and Machine Learning: Building Data Science Solutions12 Weeks · Online · Weekend
Learn from MIT FacultyKnow More
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MIT Professional Education
Applied Data Science Program12 Weeks · Live Virtual · Weekdays & Weekend
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12 weeks · Online · Weekend
Learn from MIT FacultyKnow More
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University of Texas - McCombs
PG Program in Data Science and Business Analytics7 Months · Online · Weekend
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University of Texas - McCombs
PG Program in Cloud Computing6 months · Online · Weekend
360° Cloud LearningKnow More
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University of Texas - McCombs
Post Graduate Program in User Experience Design6 Months · Online
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Data Analytics students also learn
Learn Data Analytics For Free & Get Completion Certificates
Learn Data Analytics For Free & Get Completion Certificates
Data analytics converts raw data into actionable insights. It includes a range of tools, technologies, and processes used to find trends and solve problems by using data. This practice is crucial for businesses to make better decisions, verify patterns, and elucidate trends within massive data sets. Data analytics proves particularly effective in industries ripe for job creation.
Upskill yourself in this field by joining Great Learning's Data Analytics courses. It offers training from beginner to advanced levels.
Types of Analytics
The two main types of analytics are as follows:
Descriptive Analytics: Understanding the "What"
Descriptive Analytics is the first step in data analysis. It aims to answer "what" questions about business trends and Return on Investment (ROI). This form of analysis does not jump to conclusions; instead, it summarizes data to offer the most appropriate solutions. People use advanced methods such as predictive and prescriptive analytics after learning the basics.
Advanced Analytics: Exploring the "What If"
Advanced Analytics goes beyond basic descriptive methods by utilizing tools like Machine Learning, classical statistics, neural networks, sentiment analysis, and Natural Language Processing (NLP). This allows for deeper insights and answers to "what if" questions, enabling businesses to predict and discover new trends. The availability of Machine Learning techniques, cost-effective computing, and massive data sets significantly supports the use of Advanced Analytics in various industries.
Benefits of Data Analytics in Industries
- Competitive Advantage: Data analytics helps businesses stay ahead of the curve in their industries.
- Informed Decisions: Data provides insights for making strategic choices.
- Cost Reduction: Analyzing helps identify areas to optimize spending.
- Improved Customer Service: We can use data to personalize experiences and better address customer needs.
- Marketing Optimization: Data analytics helps target marketing efforts more effectively.
- Increased Efficiency: Analyzing data can lead to streamlined operations and improved workflows.
Upskilling in Data Analytics
The Data Science and Business Analytics Program at Austin's McCombs School of Business, is a structured program. The program helps people get the most out of data analytics. It prepares students for high-demand jobs in the field by teaching them all about data analytics from experts in the field. It also includes hands-on projects that address problems in the real world.
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Career Path
Frequently Asked Questions
What certification will I receive from these Data Analytics courses?
These Data Analytics courses provides a certificate of completion, not a professional certification.
How can I learn Data Analytics courses for free?
Great Learning offers free Data Analytics courses, which address basic to advanced concepts. Enroll in the course that suits your interest through the pool of courses and earn Data Analytics certificates of course completion.
Can I learn Data Analytics on my own?
With the support of online learning platforms, it is now possible to learn concepts on your own. Great Learning Academy is a platform that provides free Data Analytics courses where learners can learn at their own pace.
How long does it take to complete these Data Analytics courses?
These free Data Analytics courses offered by Great Learning Academy contain self-paced videos allowing learners to learn crucial Data Analytics skills at their convenience.
Will I have lifetime access to these Data Analytics courses with certificates?
Yes. You will have lifelong access to these free Data Analytics courses Great Learning Academy offers.
What are my next learning options after these Data Analytics courses?
You can enroll in Great Learning's Data Science and Business Analytics Program by the University of Texas at Austin’s McCombs School of Business, which will help you gain advanced data analytics skills in demand in industries. Complete the course to earn a certificate of course completion.
Is data analytics a good career choice?
Data analytics is a rapidly growing field with a high demand for skilled professionals. Jobs in data analytics are well-paying and offer opportunities for career advancement. If you enjoy working with data and solving problems, then data analytics could be a great career choice for you.
Why is Data Analytics so popular?
Data analytics is becoming increasingly popular because businesses can now collect, analyze, and act on large amounts of data to gain insights into customer behavior, trends, and patterns. With the ability to better understand customer behavior, businesses can make data-driven decisions to optimize processes, improve efficiency, and increase profitability. Additionally, data analytics allows businesses to identify key growth areas and focus resources on areas that need improvement.
Will I get certificates after completing these free Data Analytics courses?
You will be awarded free Data Analytics certificates after completion of your enrolled Data Analytics free courses.
What knowledge and skills will I gain upon completing these free Data Analytics courses?
Through these free Data Analytics courses, you will learn about multivariate analysis, outlier detection, predictive analytics, data analysis using Python, and more.
How much do these Data Analytics courses cost?
These Data Analytics courses are provided by Great Learning Academy for free, allowing any learner to learn Data Analytics and gain crucial skills for free.
Who are eligible to take these free Data Analytics courses?
Learners, from freshers to working professionals who wish to learn Data Analytics and upskill, can enroll in these free Data Analytics courses and earn certificates of course completion.
What are the steps to enroll in these free Data Analytics courses?
Choose the free Data Analytics courses you are looking for and click on the "Enroll Now" button to start your Data Analytics learning journey.
Why take Data Analytics courses from Great Learning Academy?
Great Learning Academy is the proactive initiative by Great Learning, the leading e-Learning platform, to offer free industry-relevant courses. Free Data Analytics courses contain courses ranging from beginner-level to advanced-level to help learners choose the best fit for them.
What jobs demand you learn Data Analytics?
There are several jobs that require you to learn Data Analytics, including:
- Business Analyst
- Data Scientist
- Data Engineer
- Data Architect
- Database Administrator