Introduction to Data Analytics faq

learnersLearners: 1,119
instructor Instructor: Rav Ahuja instructor-icon
duration Duration: duration-icon

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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Course Feature Course Overview Course Provider Discussion and Reviews
Go to class

Course Feature

costCost:

Free

providerProvider:

Coursera

certificateCertificate:

Paid Certification

languageLanguage:

English

start dateStart Date:

10th Jul, 2023

Course Overview

❗The content presented here is sourced directly from Coursera platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [June 30th, 2023]

What skills and knowledge will you acquire during this course?
This course, Introduction to Data Analytics, will provide learners with the skills and knowledge to perform basic analytics tasks. Learners will be introduced to the OSEMN cycle for analytics projects, and will learn to use spreadsheets and SQL queries to manipulate datasets. They will also be introduced to using the Python programming language to manipulate datasets as an alternative to spreadsheets. Additionally, learners will learn how to use Tableau to create data visualizations and dashboards. By the end of this course, learners should be able to state business goals, KPIs and associated metrics; apply a Data Analysis Process: OSEMN; identify and define the relevant data to be collected for marketing; compare and contrast the different formats and use cases of different kinds of data; identify gaps in data collected and describe the strengths and weaknesses; demonstrate proficiency in Python with variables, control flow, loops, and basic data structures; sort, query and structure data in spreadsheets and with Python libraries; write basic SQL statements to select, group and filter data; visualize data patterns and trends with spreadsheets; and utilize Tableau to visualize data patterns and trends.

How does this course contribute to professional growth?
This course, Introduction to Data Analytics, provides learners with the necessary skills and knowledge to pursue a career in data analytics. Learners will be introduced to the OSEMN cycle for analytics projects, and will learn to perform data analytics tasks using spreadsheets and SQL queries. They will also be introduced to using the Python programming language to manipulate datasets as an alternative to spreadsheets. Additionally, learners will learn how to use Tableau to create data visualizations and dashboards. By the end of this course, learners should be able to apply the knowledge and skills acquired to their own data analytics projects. This course will contribute to professional growth by providing learners with the skills and knowledge to pursue a career in data analytics. Learners will gain an understanding of the fundamentals of data analysis, data mining, data visualization, and machine learning. They will also learn to use a variety of tools and techniques to collect, clean, and analyze data, as well as to create data visualizations. Additionally, learners will gain an understanding of the ethical and legal implications of data analytics.

Is this course suitable for preparing further education?
This course, Introduction to Data Analytics, provides learners with a practical understanding and a framework to guide the execution of basic analytics tasks. It is designed for people who want to learn the basics of data analytics, and don't need marketing or data analysis experience. Upon completion of this course, learners should be able to apply the knowledge and skills acquired to their own data analytics projects. This course is suitable for preparing further education, as it provides learners with the skills and knowledge to analyze data and develop insights that can be used to inform business decisions. Additionally, the recommended educational path for learners who have completed this course is to pursue a Bachelor's degree in Data Analytics, which will provide learners with a comprehensive understanding of data analytics.

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faq FAQ for Data Analysis Courses

Q1: Does the course offer certificates upon completion?

Yes, this course offers a free certificate. AZ Class have already checked the course certification options for you. Access the class for more details.

Q2: How do I contact your customer support team for more information?

If you have questions about the course content or need help, you can contact us through "Contact Us" at the bottom of the page.

Q3: Can I take this course for free?

Yes, this is a free course offered by Coursera, please click the "go to class" button to access more details.

Q4: How many people have enrolled in this course?

So far, a total of 1119 people have participated in this course. The duration of this course is hour(s). Please arrange it according to your own time.

Q5: How Do I Enroll in This Course?

Click the"Go to class" button, then you will arrive at the course detail page.
Watch the video preview to understand the course content.
(Please note that the following steps should be performed on Coursera's official site.)
Find the course description and syllabus for detailed information.
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Add your desired course to your cart.
If you don't have an account yet, sign up while in the cart, and you can start the course immediately.
Once in the cart, select the course you want and click "Enroll."
Coursera may offer a Personal Plan subscription option as well. If the course is part of a subscription, you'll find the option to enroll in the subscription on the course landing page.
If you're looking for additional Data Analysis courses and certifications, our extensive collection at azclass.net will help you.

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