Python + SQL + Tableau: Integrating Python, SQL, and Tableau (Udemy.com)

See the full picture: Learn how to combine the three most important tools in data science: Python, SQL, and Tableau

( 101 Reviews )

Created by: 365 Careers

Produced in 2022

What you will learn

How to use Python, SQL, and Tableau together
Software integration
Data preprocessing techniques
Apply machine learning
Create a module for later use of the ML model
Connect Python and SQL to transfer data from Jupyter to Workbench
Visualize data in Tableau
Analysis and interpretation of the exercise outputs in Jupyter and Tableau

Quality Score

Content Quality

Video Quality

Qualified Instructor

Course Pace

Course Depth & Coverage

Overall Score : 84 / 100

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Course Description

Python, SQL, and Tableau are three of the most widely used tools in the world of data science.
Python is the leading programming language;
SQL is the most widely used means for communication with database systems;
Tableau is the preferred solution for data visualization;
To put it simply SQL helps us store and manipulate the data we are working with, Python allows us to write code and perform calculations, and then Tableau enables beautiful data visualization. A well-thought-out integration stepping on these three pillars could save a business millions of dollars annually in terms of reporting personnel.
Therefore, it goes without saying that employers are looking for Python, SQL, and Tableau when posting Data Scientist and Business Intelligence Analyst job descriptions. Not only that, but they would want to find a candidate who knows how to use these three tools simultaneously. This is how recurring data analysis tasks can be automated.
So, in this course we will to teach you how to integrate Python, SQL, and Tableau. An essential skill that would give you an edge over other candidates. In fact, the best way to differentiate your job resume and get called for interviews is to acquire relevant skills other candidates lack. And because, we have prepared a topic that hasn't been addressed elsewhere, you will be picking up a skill that truly has the potential to differentiate your profile.
Many people know how to write some code in Python.
Others use SQL and Tableau to a certain extent.
Very few, however, are able to see the full picture and integrate Python, SQL, and Tableau providing a holistic solution. In the near future, most businesses will automate their reporting and business analysis tasks by implementing the techniques you will see in this course. It would be invaluable for your future career at a corporation or as a consultant, if you end up being the person automating such tasks.
Our experience in one of the large global companies showed us that a consultant with these skills could charge a four-figure amount per hour. And the company was happy to pay that money because the end-product led to significant efficiencies in the long run.
The course starts off by introducing software integration as a concept. We will discuss some important terms such as servers, clients, requests, and responses. Moreover, you will learn about data connectivity, APIs, and endpoints.
Then, we will continue by introducing the real-life example exercise the course is centered around the Absenteeism at Work' dataset. The preprocessing part that follows will give you a taste of how BI and data science look like in real-life on the job situations. This is extremely important because a significant amount of a data scientist's work consists in preprocessing, but many learning materials omit that
Then we would continue by applying some Machine Learning on our data. You will learn how to explore the problem at hand from a machine learning perspective, how to create targets, what kind of statistical preprocessing is necessary for this part of the exercise, how to train a Machine Learning model, and how to test it. A truly comprehensive ML exercise.
Connecting Python and SQL is not immediate. We have shown how that's done in an entire section of the course. By the end of that section, you will be able to transfer data from Jupyter to Workbench.
And finally, as promised, Tableau will allow us to visualize the data we have been working with. We will prepare several insightful charts and will interpret the results together.
As you can see, this is a truly comprehensive data science exercise. There is no need to think twice. If you take this course now, you will acquire invaluable skills that will help you stand out from the rest of the candidates competing for a job.
Also, we are happy to offer a 30-day unconditional no-questions-asked-money-back-in-full guarantee that you will enjoy the course.
So, let's do this! The only regret you will have is that you didn't find this course sooner!Who this course is for:

Intermediate and advanced students
Students eager to differentiate their resume
Individuals interested in a career in Business Intelligence and Data Science

Time: 5h

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Instructor Details

365 Careers

4.2 Rating
101 Reviews

365 Careers is the #1 best-selling provider of finance courses on Udemy. The company's courses have been taken by more than 500,000 students in 210 countries. People working at world-class firms like Apple, PayPal, and Citibank have completed 365 Careers trainings.
Currently, the firm focuses on the following topics on Udemy:
1) Finance Finance fundamentals, Financial modeling in Excel, Valuation, Accounting, Capital budgeting, Financial statement analysis (FSA), Investment banking (IB), Leveraged buyout (LBO), Financial planning and analysis (FP&A), Corporate budgeting, applying Python for Finance, Tesla valuation case study, CFA, ACCA, and CPA
2) Data science Statistics, Mathematics, Probability, SQL, Python, Business Intelligence, R, Machine Learning, TensorFlow, Tableau, the integration of SQL and Tableau, the integration of SQL, Python, and Tableau, Credit Risk Modeling
3) Entrepreneurship Business Strategy, Management and HR Management, Marketing, Decision Making, Negotiation, and Persuasion, Tesla's Strategy and Marketing
4) Office productivity Microsoft Excel, PowerPoint, Microsoft Word, and Microsoft Outlook
5) Blockchain for Business
All of the company's courses are:
Pre-scripted
Hands-on
Laser-focused
Engaging
Real-life tested
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4.2

101 total reviews

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By Nowsherwan on a week ago

it was a very interesting course I give it a three star because, I have higher expectation from this course. anyhow I have learn up to a certain extent. thanks

By Ashwini Nandan on 2 weeks ago

Only cutting your .5 rating because you have not explained about pytab. Rest is really good content.Go for this course you will get good knowledge from this course.

By Olawuyi Oluwaseun Emmanuel on a month ago

I really enjoyed this course and It will really help in my career path. I really wish to appreciate my facilitator, he did a very wonderful job by explicit every technical codes and graphs and also by providing relevant resources for further use. Thanks

By Pha?m Lm Ngo?c Bi?ch on a month ago

One of the most helpful course i have ever taken! Short and to the point. It does what it states in the course title, providing an understanding of how to integrate Python, SQL and Tableau. Please do not expect anything in-depth about any of the three software/language in the course though because that is out of its scope.

By Stu Miller on 2 months ago

This is a great course! The overall concepts were presented first and with nice pictures. Then it dives into the various pieces in a logical order using a very good practical exercise. Every step is explained in detail, with more complicated steps being broken down into smaller pieces so the final step makes sense.

By Maverick User on 2 months ago

Yes, this course was good, but at the end it was not as expected.Initially at the start of this course, the author shared the details on "TabPy" API for integrating Python with Tableau. But it was not covered in the tableau sectionI would request the instructor to add videos on how to use "TabPy" API to integrate Python and Tableau

By Jayson Piquero on a month ago

It was great, but the Tableau barely got a discussion.. and the SQL part was good, but I think it needed a little more examples

By Christa Willett on a month ago

Great concept, but not very clear in some areas.Also, entirely too long to receive correct resources from broken link

By Reuben Rivera on a week ago

This is arguably the most professionally made course I have taken in quite some time here on Udemy. Extremely easy to follow, as the narrator is slow enough and speaks clearly. Also, the content is just what I was looking for to get my feet wet in Data Science.The course does recommend that you have a baseline understanding of Python and SQL, and I would echo this. Although I don't believe you need to have a solid grasp of object oriented programming, it does help when the narrator goes through loops, and helps understand why certain methods are structured the way they are. I feel if I didn't have my prior experience, I would fall into the loop of just repeating what I see them typing and not truly understanding the why.With that being said, if you are newer to object oriented languages like Python, make sure you at least Google (or Bing if you're into that sort of thing) why exactly functions are in the syntax they're in and what other functions exists within pandas.Overall, I have to say that this course (being only 50% in at this point) is exactly what I was looking for to get my feet wet and potentially get my foot in the door within this field.

By Marcus Watson on 2 months ago

This course was very valuable. I think the instructor did an awesome job and it was very useful. One part that was a little difficult is that the instructor sometimes changes the names of files or organization which leads to errors in the code and a lot of debugging. Be careful with how and where you store your files. Aside from this small note I would recommend this course to anyone who is intermediate to advanced in Python and wants to learn how to create a start to finish data to viz pipeline. Thank you!

By Ashish Gautam on a month ago

I asked a question and it looks like there won't be any answer. I have enrolled into multiple courses on Udemy. I ask anything and within a few hours I get answers. I am having the worst experience with 365 Careers so far. You guys have me waited for around a week now while course would have been completed a few days back hadn't it been for your pathetic service.

By Ty Grove on 4 months ago

From the title, description, and first few lectures, I expected to learn how to use an API to connect these programs together. Instead, the course is 70% machine learning in Python, 15% integrating MySQL into Python, and 5% analyzing in Tableau.At the end they just export from MySQL to CSV and then load into Tableau, which is exactly the kind of manual process I thought this course would eliminate.While the Machine Learning section was very useful and informative, I ran into tons of errors, and didn't find much help in the QA section. It seems like the cause of most of these errors is that the instructors don't provide the same files as the ones they show in the lectures. I found lots of inconsistencies between the same exact files as shown from one lecture to the next. This made finishing this course a chore, because I felt like even if I followed all of the instructions perfectly, I knew I would run into errors and have to spend tons of time searching the web for solutions.Also, one of the instructors' voiceover sounds really over-rehearsed and full of fake enthusiasm, which always put me to sleep.I learned a lot from the course but I didn't learn what I set out to, and will have to find another course to do so for me.