Chevron Left
Volver a Introduction to Data Analytics

Opiniones y comentarios de aprendices correspondientes a Introduction to Data Analytics por parte de Meta

157 calificaciones

Acerca del Curso

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....

Principales reseñas


19 de ago. de 2022

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.


7 de abr. de 2022

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!

Filtrar por:

1 - 25 de 71 revisiones para Introduction to Data Analytics

por Melanie G

9 de ene. de 2022

por ng

10 de nov. de 2021

por Heather N

27 de ene. de 2022

por Tina V R

30 de ene. de 2022

por Po W H

20 de ene. de 2022

por Laura M

31 de ene. de 2022

por Troy N

1 de feb. de 2022

por Brianna M

15 de mar. de 2022

por Abdelrahman O

3 de mar. de 2022

por Moe A

21 de ene. de 2022

por Siu C Y

8 de mar. de 2022

por Erick R

5 de mar. de 2022

por Chris U

21 de mar. de 2022

por Jason H

9 de jul. de 2022

por Денис Ш

6 de dic. de 2021

por Caroline K

13 de feb. de 2022

por Samantha L

12 de abr. de 2022

por Ahmad A

4 de jun. de 2022

por Omar M

26 de jun. de 2022

por Joe H

7 de jun. de 2022

por Georgina P

31 de oct. de 2021

por Kathryn Z

19 de feb. de 2022

por Lauren M

14 de may. de 2022

por Josh G

2 de ago. de 2022


3 de ene. de 2022