Price: 10.99 USD
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Coursera Platform is offering&nbsp;a free <a href="https://www.for9a.com/en/opportunity/category/Online-Courses">online course</a> on the theme of Introduction to Data Analytics.This course equips you with a practical understanding and a framework to guide the execution of basic analytics tasks such as pulling, cleaning, manipulating and analyzing data by introducing you to the OSEMN cycle for analytics projects. You&rsquo;ll learn to perform data analytics tasks using spreadsheet and SQL queries. You will also be introduced to using the Python programming language to manipulate datasets as an alternative to spreadsheets. You will learn foundational programming concepts and how they apply to marketing. You will also learn how to use Tableau to create data visualizations and dashboards.By the end of this course, you will be able to:<ul><li style="text-align: justify;">State business goals, KPIs and associated metrics</li><li style="text-align: justify;">Apply a Data Analysis Process: OSEMN</li><li style="text-align: justify;">Identify and define the relevant data to be collected for marketing</li><li style="text-align: justify;">Compare and contrast the different formats and use cases of different kinds of data</li><li style="text-align: justify;">Identify gaps in data collected and describe the strengths and weaknesses</li><li style="text-align: justify;">Demonstrate proficiency in Python with variables, control flow, loops, and basic data structures</li><li style="text-align: justify;">Sort, query and structure data in spreadsheets and with Python libraries</li><li style="text-align: justify;">Write basic SQL statements to select, group and filter data Visualize data patterns and trends with spreadsheets</li><li style="text-align: justify;">Utilize Tableau to visualize data patterns and trends</li></ul>This course is designed for people who want to learn the basics of data analytics including using spreadsheets and Python to sort and structure data and using Tableau to visualize data patterns. Learners don't need marketing or data analysis experience, but should have basic internet navigation skills and be eager to participate. Learners also need access to a computer with strong internet connection. Ideally learners have already completed course 1 (Marketing Analytics Foundation) in this program.<h3 style="text-align: justify;">Course duration:</h3>Approx.&nbsp;36&nbsp;hours to complete.<h3 style="text-align: justify;">Course topics:</h3><ul><li style="text-align: justify;">Working with Data: This week you&rsquo;ll get an overview of the Introduction to Data Analytics Course and then you&rsquo;ll be introduced to setting Goals, Objectives and Key Performance Indicators for marketing campaigns. The 5 steps of a Data Science Project will be explained with the introduction of the OSEMN cycle framework. You&rsquo;ll finish out the week seeing a real-life application of each step of the OSEMN cycle.&nbsp;</li><li style="text-align: justify;">Python for Data Analysis: This week you will be introduced to programming in Python. You will learn foundational programming concepts such as variables, data types, and functions.&nbsp;</li><li style="text-align: justify;">Data Cleaning and Processing: In week three, you&rsquo;ll dig into how to clean and process data you&rsquo;ve gathered using spreadsheets, SQL, and the Python Data Analytics Stack (Pandas).&nbsp;</li><li style="text-align: justify;">Introduction to Data Visualization: This week you&rsquo;ll be introduced to the Tableau platform which you will use to create data visualizations and dashboards. You&rsquo;ll learn different types of visualization and their use cases.</li></ul><h3 style="text-align: justify;">Course costs:</h3>Introduction to Data Analytics is part of the larger Meta Marketing Analytics Professional Certificate. Your 7-day free trial includes:<ul type="disc"><li style="text-align: justify;">Unlimited access to all courses in the&nbsp;certificate&nbsp;including: Watching lectures, trying assignments, participating in discussion forums, and more.</li><li style="text-align: justify;">Canceling option at any time: No penalties - simply cancel before the trial ends if it's not right for you.</li><li style="text-align: justify;">$49&nbsp;USD per month to continue learning after trial ends: Go as fast as you can - the faster you go, the more you save.</li><li style="text-align: justify;">Certificate when you complete, that you can share on your resume, LinkedIn, and CV.</li><li style="text-align: justify;">Learner who can&rsquo;t afford to pay required fees is eligible to apply for financial aid, that allows him/her to get everything a fee-payer learner gets.</li></ul>See more available<a href="https://www.for9a.com/en/opportunity/category/Volunteer-Work">&nbsp;volunteer opportunities&nbsp;</a>on For9aSee more<a href="https://www.for9a.com/en/country/United-States">&nbsp;opportunities in the US&nbsp;</a>available on For9a

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Coursera Platform is offering  a free <a href="https://www.for9a.com/en/opportunity/category/Online-Courses">online course</a> on the theme of Introduction to Data Analytics.This course equips you with a practical understanding and a framework to guide the execution of basic analytics tasks such as pulling, cleaning, manipulating

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Free Online Course as an Introduction to Data Analytics offered by Coursera

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