NOTE: If you are looking forward to enrolling in Business Analyst Nondegree on Udacity or any other Nanodegree Program, you can click on this link to get $50 or ₹1000 off.
Recently I have been working as a Business Intelligence Analyst till March 2019 when I left my job as I am moving to Washington DC to pursue my MS in Data Science in the month of August. I wanted to do something in the mean time when I got an opportunity to work with Udacity as a mentor for Business Analyst Nanodegree. Currently, its been 1 month working as a mentor for BAND with Udacity and I wanted to share my feedback about the Business Analyst Nanodegree so that people interested in learning about Business Analytics can make up their mind if they want to enroll in this Udacity’s BAND(Business Analyst Nanodegree).
I have been a student with Udacity since 2016 when I was in college. I did my Front-End Development Nanodegree and Predictive Analytics for Business Nanodegree Program (PAND Review and Hand Written Notes) and also got my very first job just after completion of my under graduation with the help from Udacity. I have explored so many online learning platforms including edX, Udacity, Coursera, Khan Academy, Simplilearn, Udemy, MVA, etc and I found Udacity and Coursera to be the best. Udemy also offers good courses for very cheap prices, but the kind of personal level support you get from Udacity is exceptional.
Business Analytics Nanodegree is best suited for those students who want to switch or get into the field of Data Science. BAND does not require any prerequisites to start the course. The detailed syllabus for the course can be seen here:BAND Syllabus
As you can see in the syllabus there are 5 Projects to complete in the Nanodegree which is divided into 5 different Chapters.
This is basically the Introduction to the Nanodegre Program. In this Chapter Orientation is done to explain about the services of Udacity and Introduction to Business Analytics. The Project 1 here is Know as Working with data where you have to learn how to look at the Data and Data Visualization and come up with insights from the same.
As a mentor for the BAND I had to conduct the weekly webinars for the students in my Cohort, here is my webinar for Chapter 1:
I am no expert in making video lectures. These webinars were very casual. I understand the quality of these videos could have been better. Udacity videos are not to be judged from these webinar as there videos are very professional.
Chapter 2 is known as Introduction to Data. There are 8 lessons in this Chapter which are as follows:
- Descriptive Statistics I
- Descriptive Statistics II
- Spreadsheets 1: Getting Started
- Spreadsheets 2: Manipulate Data
- Spreadsheets 3: Analyze Data
- Spreadsheets 4: Visualize Data
- Business Metrics
- Excel Modelling
Chapter 2 starts with the concept of Descriptive Statistics where the mathematics of Mean, Mode, Median, Variance, Standard Deviation, and Five Number Summary are discussed. This is followed by the concept of a spreadsheet like What are spreadsheets? What are the uses of the spreadsheet? How to calculate Descriptive Statistics Values in spreadsheet tools like Excel? How to perform Data Analysis and Visualization in a spreadsheet? How to perform forecasting in Excel?
Here are the YouTube videos of the webinar I had for Chapter 2:
Chapter 3 contains 5 lessons out of which 2 are optional and 3 are mandatory, the five lessons in this chapter are as follows:
- Basic SQL
- SQL Joins
- SQL Aggregations
- SQL Subqueries and Temporary Tables (Advanced)
- SQL Data Cleaning (Advanced)
Chapter 3 starts with an introduction to Basic SQL and then moves to more advanced SQL Joins and Aggregation functions, it also covers advanced Subqueries, Temporary tables and Data Cleaning in SQL.
Here are the links to the webinars I made for SQL: