Chevron Left
返回到 Introduction to Data Analytics

學生對 元信息 提供的 Introduction to Data Analytics 的評價和反饋

15 個評分
8 條評論


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....



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


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


1 - Introduction to Data Analytics 的 8 個評論(共 8 個)

創建者 Melanie G


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.

創建者 ng


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.

創建者 Maulana F C


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

創建者 Vicky G


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

創建者 Lam C V D


G​rader issue

創建者 Georgina P


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

創建者 Sanjay S N


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.

創建者 Swash1ng


b​ad for me :(