Who is this course for?
Data is a transformational force in every business and analysis of data has become a mandatory skill to have to provide value in any organization. This Nanodegree program offers an introduction to the world of data. If you are just beginning learning about data, this is the course for you.
Course Syllabus
Welcome to the Program
Meet your instructors and learn how to optimize your classroom. Learn how people use data to answer questions, and find your own insights from a data dashboard.
Interpret a Data Visualization
Introduction to Data
Learn how to use statistics and visuals to find and communicate insights. Develop Excel skills to manipulate, analyze, and visualize data in a spreadsheet. Build Excel models to analyze possible business outcomes.
Analyze NYSE Data
SQL for Data Analysis
Learn to use Structured Query Language (SQL) to extract and analyze data stored in databases.
Query a Digital Music Store Database
Data Visualization
Learn to apply design and visualization principles to create impactful data visualizations, build data dashboards, and tell stories with data.
Build Data Dashboards
Enrollment Inclusions
Real-world projects from industry experts
Technical mentor support
Career services
Flexible learning program
Additional information
Course Page | https://www.udacity.com/course/business-analytics-nanodegree–nd098 |
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Program Length | Estimated Time Of 3 Months At 10 hrs/week |
Instructors | Josh Bernhard, Dana Sheahan, Mat Leonard, Derek Steer, Sam Nelson |
Scheduled Class Batches? | Yes |
Program Format | Self-paced Online Classes |
Technical or Skill Pre-requisites | There are no prerequisites for enrolling aside from basic computer skills and English proficiency. You should feel comfortable performing basic operations on your computer like opening files and folders, opening applications, and copying & pasting. |
Pricing | Monthly Access – Pay as you go: $399 per month |
Financing Options | Available |
Scholarship Programs | Available |
Related Job Positions | Business Analyst, Data Analyst, and Data Scientist. |
NeverTheSameMan –
It’s not worth it – Business analytics is something that you can learn yourself without spending money on any classes.
In general, it’s heavy on analytics in Excel and some light programming, but you should be able to get by without much. If you want to really get into BA, then check out some of the Tableau tutorial courses on Udemy. In fact, Kirill Eremenko has 2 courses on Tableau, a beginner and advanced, which take you from 0 to ready to pass the Tableau Cert exam. I’ve been on it for months and have learned so much. The examples and analytics problems he gives you are realistic and fun, and both courses together will only set you back $30.
In General, I’d say check Udemy for Business Analytics stuff & Excel classes before paying for Udacity.
DoubleW98 –
I have just taken it. It has pros and cons. I think that the content covered is great, the topics were just what I was looking for (TBH I would have preferred an R focussed option but I’m happy to have learned some python). My gripe is the pricing policy. Like on other platforms you pay a single fee and get unlimited access to the content. With Udacity you feel pressured to cram it all into 4 months or whatever terms you signed up on (I got a very heavily discounted price for 4 month access). I rushed through the last few modules as I didn’t want to pay any more. But I will say that when I first requested to cancel my subscription they extended my access by one month for free. The second time I requested to cancel they offered me a discount to keep going which I declined. Then after my subscription ended I discovered that you do continue to get read-only access to the content for 12 months I think. You can’t submit quizzes or projects but you can see all the content.
There is the option to have your Github and LinkedIn profiles reviewed as part of this course which is a nice addition. I submitted both and got some feedback but I didn’t find it was very personalised.
Also I didn’t find the forums to be very good on Udacity compared to some other platforms. On EDX the forums were really engaging and there were some good live discussions happening about the course. On Udacity it’s just a hangout lounge where everyone throws their comments into the void and nothing really gets answered.
Overall I think it’s a good course but I wouldn’t pay full price for it.
drewskie –
This transfers very will into WGU’s Data Analyst Bachelors – I’m kind of on the fence because the reviews for the program are so bad.
https://partners.wgu.edu/Pages/BSDMDA.aspx
This suggests it covers 6 college classes which is kind of insane and makes the price totally worth it. For your information /u/ozcapy
Robert Brown –
‘m currently in the second term of the data analyst program (last time I checked the program was called business analyst unless they fragmented it) but also working full-time as a marketing analyst. I’ve been able to apply correlation models you learn in the python block, regression models you learn in the advanced statistic block, and developed an understanding of basic machine learning applications. Has also helped with writing a few SQL queries that save a little time when querying our database. On the flip side, there was a lot of content that didn’t provide me any real-world application value. The visualization block was just a lot of things that seem “common sense” but in my experience visualizations need to be crafted uniquely to your audience (i.e; not all C-Suites want to see simplified top level metrics, some actually want to get granular and be able to compare multiple features over different set periods of time).
If you can take the learnings from this though, and apply them in your current working environment (even if it’s a self-created project like running analytics for a friend’s website) that will help exemplify skills to recuiters and give you some experience in the field.