Learning Advice to Master Udacity's Programming for Data Science with Python Course

Shubham Sharma

08 June 2023

Add To Wishlist

Course Overview

Programming for Data Science with Python course teaches you the fundamentals of programming and helps you in mastering Python for data science which can enable you to have a career in Data Science which is much in demand in industries, tech firms, start-ups and government agencies.

This course offered by Udacity helps candidates prepare for a Data Science career by learning the fundamental data programming tools: Python, SQL, command line, and git. You will be able to smoothly interpret technicalities concerning Python, SQL and Command Line by the end of this program.

This course is recommended for learners who are comfortable performing basic operations on their computers, like opening files and folders, opening applications and copy-pasting. Nonetheless, regardless of experience and specific educational background, anyone can enroll in this Nanodegree program.

"This program helped me design data models, build data warehouses and data lakes, automate data pipelines, and work with massive datasets."

- Shubham Sharma

Course Structure

This online certification program is an advanced level course. It offers the opportunity of self-paced learning, which is particularly helpful for working professionals. It is spread for the duration of not more than 3 months and requires at least 10 hours per week.

Some of the critical areas covered in this curriculum include Analytics, Data Management, Data Modeling, SQL Database, Business Intelligence, Data Visualization, Data Mining, etc. The learners get to enjoy the benefits of hands-on training and to prepare for a career in the real world.

The professors associated with this course have degrees from renowned institutions in cloud development. Thus, this program offers an excellent opportunity to study under professors of international standing. The applicants also get to be a part of a Capstone project that encourages innovative learning of concepts.

You will be provided with the relevant notes, class presentation in recorded format and hands-on labs with step-by-step instruction guide There were precise instructions from the instructors, relevant split of lectures, emphasis on technical clarity, and hands-on experience at the very end of each module. The program also offers instructor moderated discussions that prove to be great opportunities to make and build connections.

Technically, the course is spread over 3 prime modules:

Module 1: Introduction to SQL
Module 2: Introduction to Python Programming
Module 3: Introduction to Version Control

Insider Tips

To get the best out of this course, I have included some important tips below that I think you might find useful.

Assignments or Grading Criteria

The assessment method involves completing assignments and undertaking projects under various modules throughout the degree. These can be research-based or concept specific. The final assessment ends with a Capstone project. The evaluations are designed to ensure continuous student engagement with the program and to encourage learning. There is a periodical peer review of assignments, and a robust knowledge transfer mechanism.

Hands-on Training

The modules of this course are detailed, comprehensive, and practical. Apart from theoretical concepts, the learners also learn through hands-on training. This program will help the learners design data models, build data warehouses and data lakes, automate data pipelines, and work with massive datasets. The learners will get hands-on training that will enhance their skills. The course offers learning by solving real-life cases. This provides great exposure to candidates.

Prerequisites or Requirements

You should feel comfortable performing basic operations on your computer, like opening files and folders, opening applications, copying and pasting, etc. You should also be able to read, write, and understand English.

Final Take

Currently, I am working as a Data Engineer in a private firm. My job requires me to stay up-to-date with the technicalities of Python programming and Data Science. This program has definitely helped me in mastering Python for data science. Thus, I recommend this data science master course to those looking to build a career in Data Science.

Key Takeaways

Learn fundamental data programming tools: Python, SQL, command line, and git

Be a part of a Capstone project and learn concepts easily

Get relevant notes, class presentations in recorded format and hands-on lab work with a step-by-step instruction guide

Course Instructors

Shubham Sharma

Data & BI Engineer

Seasoned advanced analytics/ data science professional with over 4 years of experience in advanced analytics, machine learning and consulting in business intelligence domains. Proficient in machin...