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Bewertung und Feedback des Lernenden für Introduction to Data Analytics von Meta

3.7
Sterne
19 Bewertungen
10 Bewertungen

Über den Kurs

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 different marketing related questions • 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 in the available data • Demonstrate basic 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....

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1 - 11 von 11 Bewertungen für Introduction to Data Analytics

von Melanie G

9. Jan. 2022

T​he grading system for jupyter/python is sometimes broken and flags right answers as wrong. (Yes, they ARE right! We can check this in our own python environments! Also there are more people reporting these issues but they don't care.)

A​lso the reviewed assignment from other students is just bullshit because not many will review the assigments. They will just let you through.

A​lso the skill they want in the python and pandas assigments are just over the top for what they teached in the videos. You have to use functions that weren't teached with tasks which where teached in spreadsheets. Also unterstanding basic python and pandas doesn't help with these kind of questions. They didn't even walk us through similiar tasks.

von ng

10. Nov. 2021

This rating is for the zero learner support. There's no way to fix things. The discussion forum is practically dead. For some reason the system keeps rating my assignment as 'failed' even though all the answers are correct. I can't move to the next module because of this. And there's no one to seek help from, including the instructors. It's a real shame and a waste of time and money. I was really excited about this course, but now I will just have to leave.

von Po W H

20. Jan. 2022

they didn't teach all the required coding skills for passing the capstone project in this course, making it hard to pass this certififate within the 7-days free trial.

von Maulana F C

3. Jan. 2022

I like this course because it contains more implementation than the theory

von Vicky G

7. Jan. 2022

Amazing course, I'm enjoying it so much! Best teachers ever!!

von Lam C V D

24. Dez. 2021

G​rader issue

von Moe A

21. Jan. 2022

Solid course that helps someone get into Data Analysis.

Although this course gives a general introduction to Python, it would be beneficial to have some experience in it. The course is limited to how much practice there is in Python, although having knowledge in it is a critical piece in the Capstone Project. I ended up having to take another course on Coursera to learn Python better to complete a the Capstone project.

von Georgina P

31. Okt. 2021

It's very complete: IT has hands on labs with Python oriented to Data Analytics, has information about Tableau, SQlL and about SMART. It's like doing a project from scratch. Really nice course

von Sanjay S N

3. Jan. 2022

The course felt basic, but jupyter exercises felt a tad bit intermediate. The course gives you a taste of being a data analyst by touching up on most of the relevant topics.

von Heather N

27. Jan. 2022

While I enjoy exploring and learning on my own, many of the concepts you are tested on don't seem to be covered in the course material. I spent A LOT of time on google to pass the labs. This alone would only knock off one star for me but the labs are super buggy and I am currently unable to complete week 5 of this course because I cannot do the graded labs. It's very frustrating to spend both money and hours of my time on a course I cannot complete.

von Swash1ng

6. Dez. 2021

b​ad for me :(