Chevron Left
Introduction to Data Analytics に戻る

メタ による Introduction to Data Analytics の受講者のレビューおよびフィードバック

3.5
159件の評価

コースについて

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’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: • 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 • Utilize Tableau to visualize data patterns and trends 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....

人気のレビュー

MA

2022年8月19日

Every concept was very understandable, just with a few videos I have a good understanding of how to use python, SQL, and spreadsheets for marketing analysis. Now it's time to practice more.

TN

2022年4月7日

This is a difficult, but really great, course. I learned the basics of SQL and Python Pandas. Expect some difficult programming assignments, but trust me they're worth the effort!

フィルター:

Introduction to Data Analytics: 1 - 25 / 72 レビュー

by Melanie G

2022年1月9日

by ng

2021年11月10日

by Heather N

2022年1月27日

by Tina V R

2022年1月30日

by Po W H

2022年1月20日

by Laura M

2022年1月31日

by Troy N

2022年2月1日

by Brianna M

2022年3月15日

by Abdelrahman O

2022年3月3日

by Moe A

2022年1月21日

by Siu C Y

2022年3月8日

by Chris U

2022年3月21日

by Jason H

2022年7月9日

by Erick R

2022年3月5日

by Денис Ш

2021年12月6日

by Joe H

2022年6月7日

by Caroline K

2022年2月13日

by Samantha L

2022年4月12日

by Ahmad A

2022年6月4日

by Omar M

2022年6月26日

by Georgina P

2021年10月31日

by Kathryn Z

2022年2月19日

by Lauren M

2022年5月14日

by Josh G

2022年8月2日

by MAULANA F C

2022年1月3日