Programming for Data Science with Python

Overview

Learn programming skills needed to uncover patterns and insights in large datasets by querying relational databases, analyzing data with Python, and using industry-standard data science libraries. Develop scripts to automate data collection, cleaning, transformation, and reporting tasks, while building a strong foundation in programming concepts and analytical thinking. Gain experience working in Unix shell environments, managing projects with Git and version control workflows, and applying practical tools used by data professionals to efficiently explore data, solve problems, and communicate results.

Syllabus

SQL for Data Analysis

SQL is one of the most versatile tools available when it comes to extracting insights from stored data.
Learn how to execute core SQL commands to define, select, manipulate, control access, aggregate, and join data and data tables. Understand when and how to use subqueries, several window functions, and partitions to complete complex tasks. Clean data, optimize SQL queries, and write select advanced JOINs to enhance analysis performance. Explain which cases you would want to use particular SQL commands and apply the results from queries to address business problems.

Introduction to Python for Data Science

Learn Python programming fundamentals such as data types and structures, variables, loops, and functions. Work with Python libraries and packages, manipulate and analyze data with Pandas and Polars, compute statistics, and create effective visualizations to uncover patterns, trends, and relationships. Apply industry-standard tools and workflows to explore datasets, generate insights, and communicate findings through data-driven storytelling and decision-making.

Scripting for Data Science

Learn essential Unix shell and Python scripting skills for data workflows and analytics. Navigate and manage files, inspect and monitor data efficiently, and work confidently with the filesystem. Build reusable Python scripts that accept user input, automate repetitive tasks, and process data from the command line. Develop professional command-line tools with validation and clear output, integrate operating system commands into Python workflows, and use Python libraries to manage files and directories. Apply these skills to real-world data engineering and analytics tasks to improve efficiency, automation, and reproducibility.

Introduction to Version Control

This course is perfect for beginners wanting to master Git’s core functionality, with a focus on using the Unix shell for streamlined commands. It teaches all the basics, including how to track versions, create branches, and save and share projects.

Taught by

Josh Bernhard , Derek Steer, Juno Lee , Richard Kalehoff, Karl Krueger, David M A., Shuaib A., Youn K., Prashanth P., Amal A. and Michael M.

Reviews

4.8 rating, based on 28 Class Central reviews

4.8 rating at Udacity based on 837 ratings

Start your review of Programming for Data Science with Python

Anonymous

"I like the relatively high expectations of the program. I am 52 with a BS in applied math, a MS in math and am a full-time high school math/computer science teacher. I have never done database coding prior to this course. The SQL tutorials, with p…

"I like the relatively high expectations of the program. I am 52 with a BS in applied math, a MS in math and am a full-time high school math/computer science teacher. I have never done database coding prior to this course.
The SQL tutorials, with periodic quizzes for accountability, are not so easy as to be skippable, while still being solvable without hints (most of the time); I did peek at a solution a few times. The SQL project was too business oriented for my taste, but it matched the tutorials. I liked the freedom to create my own questions and especially liked the scope of the database. It allowed me to create very challenging questions; this of course made the rubric easy to meet but meant a thorough going over of most of the SQL code from the tutorials; this took me over my personal pre-project time estimate, but barely under Udacity's time estimate for SQL overall.
How the Python part goes will determine if my needs are met. The SQL part 'earned' 5 stars."
CHEEKOLU MUNIRAJA

Here's a potential review: Review: Programming for Data Science with Python (Udacity) I recently completed the Programming for Data Science with Python course on Udacity, and I'm impressed with the content and structure. Here's my review: Pros: 1…

Here's a potential review:

Review: Programming for Data Science with Python (Udacity)

I recently completed the Programming for Data Science with Python course on Udacity, and I'm impressed with the content and structure. Here's my review:

Pros:
1. *Comprehensive coverage*: The course covers essential Python concepts, data structures, and popular libraries like Pandas, NumPy, and Matplotlib.
2. *Hands-on projects*: Real-world projects helped me apply theoretical concepts to practical problems.
3. *Excellent instructors*: The instructors are knowledgeable and provide clear explanations.

Cons:
1. *Pacing*: Some sections felt a bit rushed, requiring additional time to grasp concepts.
2. *Limited feedback*: While the platform provides some feedback, more detailed feedback on assignments would be helpful.

Recommendation:
This course is ideal for those new to Python and data science. With dedication and practice, you'll gain a solid foundation in programming for data science.

Final Thoughts:
Overall, I'm satisfied with the course and would recommend it to anyone interested in data science with Python.
Anonymous

My name is Seun, I find the program challenging and interesting at the same time. The mentors were so helpful and responds on time to questions. It's so nice to learn on this platform."
Ogunlade Stephen Olayide
2

"The program is quiet apt and all inclusive for an intending data analyst, a bit challenging though, probably because I'm having first introduction to SQL. However, It matched beyond my expectation."
Chukwudi Ezennia
1

"I had a terrific experience going through this program. In the beginning, after going through the syllabus, I knew I was in for an immersive experience. The program's content are excellently structured with an approach that breaks complex concepts…

"I had a terrific experience going through this program. In the beginning, after going through the syllabus, I knew I was in for an immersive experience. The program's content are excellently structured with an approach that breaks complex concepts into tiny portions to aid assimilation. The projects were another thing I loved about my program. They helped build confidence in my acquired skill set, as I knew I had properly tackled real life problems using the skills and knowledge gained from the program. I can now boast of proper foundational understanding in PostgreSQL, Python and Tableau. These are highly coveted skill sets in the industry, and I am confident that with time and more effort refining my online presence and collaborating on projects, I will most certainly "be in demand". Thank you Udacity for the efforts you put into creating this life changing experience. "
Esra Simsek
1

This course was really good and helpful to understand the logic. Mentors are really helper and quickly reply to your questions. Although it would be better if there were more topics in Python, the projects from real life are really advantageous. This course is more expensive when you compare it with the others, please look at the special days. I bought this course on Black Friday week which was reduced the price a serious amount.
Anonymous

This course is structured in such a way that i understand what a real world data scientist does and i am able to work with the projects as if i am in a data science job already. This course will surely allow me to break into the data science career.
Anonymous

"The Data Analyst Nanodegree has sharpened my skills so far. The SQL course was exceptional compared to any other SQL course i have ever taken. Udacity's project-based learning really helped me re-learn and unlearn some key data analyst techniques."
Anonymous

The Data Science course excellently matched my needs and surpasses my expectations. The classes were well broken down for a beginner like me and the projects and assignments further helped me develop myself outside the classroom
Olatunde Opeyemi
1

The projects tests your critical thinking and problem solving skills I.e being able to think outside the box .

Overall its worth the time ,and energy .
Adeeb Albarazi

In fact, I graduated from the College of Mathematical Sciences since 1994 and majored in the field of programming, and then I was busy in the business world far from them, but I was eager to meet them every period and I very much wanted to return to…

In fact, I graduated from the College of Mathematical Sciences since 1994 and majored in the field of programming, and then I was busy in the business world far from them, but I was eager to meet them every period and I very much wanted to return to them, but I did not find a way for that and I do not know how I tried The way to learn engineering drawing 2d and 3d, but I did not find my goal until I got to know Udacity and found it taking my hand to put me on the right path, like a mother pushing her son to learn to walk and recover from crawling, and here I am going through the most beautiful experience in my life and I succeed in presenting my first project and I will continue In order to achieve success after success, God willing,, thank you Udacity
Temitope Ariyo

The Nanodegree program has been quite challenging so far!

Despite the fact that the Project surpassed my needs and expectations, I also got a lot of value while working on the project.

Also, the project reviewers are doing an amazing job by reviewing my work and sending a feedback in less than 3 hours, that was more than just perfect.

Thank you Udacity!
Israel Bayode

The program has been excellent, I must say. It has not only met my needs and expectations, it has exceeded them, especially with the help of my reviewer who was very instrumental to making sure I be the best I can. I really would love to have him mentor me, going forward. I am glad to be part of Udacity.
Paul John Kpantey

The SQL project was quite a daunting one, but worth it especially with the several reviews, I received toward the project completion. I have learnt a great deal in completing it. Having realized that "Queries Must Match Visualization" was an eye-opener for me as a desperate data scientist. I am so so grateful to the reviewer and Udacity in general.
Anonymous

This is such a great learning experience, I learnt so much within a short while. The facilitators are so knowledgeable, they break down the course and make it so easy to understand.

The learning community is also great, with peers and mentors available to help with any confusions you might have.

Overall, it's a wonderful experience
Joseph Jan Del

"IMHO! Udacity is one of the best (if not the best) online 'tech schools' for any tech enthusiast with that passion and drive to either transition to tech or enhance their skills. The capstone project review by the mentors wasn't generic. It was as if they had no other job. Thank you, Udacity! "
Anonymous

The course contains videos that are practical and show the complete algorithm. The hands-on mode of the course allowed me to understand the basics of SQL and Python. Also, the libraries module in the python course took me through the fundamentals of initiating and completing a python project
Anonymous

The class is a mix of videos and summary of theory written in text. You learn right away the stuff as you have to practice it.Very honestly I learnt much more in SQL class than I was hoping for. MANY THANKS.
Anonymous

Professionally made course. I enjoy it and recommend it! ;)

Project reviewer was awsome - he gave a lot of personalized feedback and also guided to real blogs were I was able to find more information regarding my issues.
Anonymous

The program has been amazing so far. I now understand the concepts in SQL and I'm very grateful. The lessons are easy to understand and I look forward for the remaining lessons to be great as well.