**The Best Data Analytics Tools for 2025: What to Learn Now — Transcript & Summary | SozAI**
Source: https://sozai.app/transcript/best-data-analytics-tools-2025/

Discover the top data analytics tools to learn in 2025, including Excel, SQL, Python, Tableau, Power BI, and cloud platforms like AWS, Azure, and Google Cloud.

## Key Takeaways

- Mastering Excel is crucial due to its dominance in large corporations despite Google Sheets' popularity.
- SQL proficiency is essential for efficient data retrieval from relational databases.
- Python’s versatility and rich ecosystem make it the top programming language for data analytics.
- Tableau and Power BI are the leading visualization tools to effectively communicate data insights.
- Cloud computing skills in AWS, Azure, or Google Cloud are vital as companies migrate to cloud platforms.

## What the video covers

- Mo Chen, a data and analytics manager with 6+ years experience, presents the most in-demand data analytics tools for 2025.
- Microsoft Excel remains essential, used by 80% of Fortune 500 companies, and is recommended over Google Sheets for corporate use.
- SQL is a cornerstone skill for data retrieval, with 75% of Fortune 500 companies using it and high popularity on Stack Overflow.
- Python is highlighted for its flexibility and extensive libraries like pandas, NumPy, and PyTorch, widely adopted by major global companies.
- Tableau and Power BI dominate the data visualization market, with millions of users and adoption by large enterprises.
- Cloud skills are increasingly important, with AWS, Azure, and Google Cloud being the top platforms to focus on.
- Coursera’s Data Career Hub offers recommended courses and certificates for various data roles, with current discounts available.
- Learning one tool from each category (spreadsheets, SQL, programming, visualization, cloud) is advised for career success.
- The video encourages viewers to explore additional resources like Mo Chen’s website, newsletter, and related videos.
- The content is sponsored by Coursera, emphasizing practical learning paths for data analytics careers.

Answers

## Questions about this video

Which spreadsheet tool does Mo Chen recommend learning for data analytics in 2025?

Mo Chen recommends learning Microsoft Excel over other spreadsheet tools like Google Sheets because it dominates the corporate world and is more powerful.

Why is SQL considered an important skill for data analytics?

SQL is essential for efficiently retrieving data from relational databases and is widely used by 75% of Fortune 500 companies.

What are the top cloud platforms to learn for data analytics careers?

The top cloud platforms to focus on are Amazon Web Services (AWS), Microsoft Azure, and Google Cloud, as they dominate the market and are widely used by major companies.

## Full Transcript — Download SRT & Markdown

00:00

Speaker A

If you're wondering what data analytics tools to learn in 2025, then you're in the right place. With the industry constantly evolving, the right tools can make or break your data career. In this video, I'll walk you through the most in-demand data analytics tools that top companies are using today and will continue to rely on in 2025 and much further beyond that. If you're new to the channel, my name is Moan, and I work as a data and analytics manager. I have over 6 years of experience working with complex big data in the financial services industry. I love getting straight to the point, so let me just do that with the first tool: Microsoft Excel. It is estimated that there are anywhere between 750 million to 1.2 billion people who use Excel on a monthly basis. Now, I have to add here that it is also estimated that Google Workspace, which includes Google Sheets of course, is used by about 2 billion people on a monthly basis, just to give you a quantity comparison. But this figure can be misleading in the sense that most large companies tend to use Microsoft products. It is estimated that four out of five, so 80%, of Fortune 500 companies use Microsoft 365 and hence very likely Microsoft Excel as well. I always recommend learning Excel over any other spreadsheet tool because Microsoft products dominate the big corporate world, and it is simply so much more powerful than, say, Google Sheets, its biggest competitor. Before I move on to the next tool, let me show you a place where you could learn all of the technical skills I mentioned today and much, much more. No matter what data career you want to have, whether that's becoming a data analyst, a data scientist, or even a machine learning engineer, Coursera's new Data Career Hub has all of the answers for you. Let's take data analysis for example. You can use the free career guides to help you decide what you should actually learn. The top courses I would recommend if you're after generalist data analyst courses and certificates would be the Google Data Analytics Professional Certificate and the IBM Data Analytics with Excel and R Professional Certificate. If you want something that is very much business-focused, then you should go with the Google Business Intelligence Professional Certificate. And if you're after specialist courses and certificates, then I would recommend you go with either the Tableau Business Intelligence Analyst Professional Certificate or the Microsoft Power BI Data Analyst Professional Certificate. By the way, did you know that you can get 50% off right now from your Coursera Plus subscription, through which you would, of course, gain access to all of the courses I mentioned before? So make sure you check out the Coursera Data Career Hub and get started with Coursera Plus at a huge discount using the links in the description below. And a huge shout out to Coursera for sponsoring this video. So the next tool I'll cover is SQL, which stands for Structured Query Language, and I think of it as the cornerstone of data retrieval. If you want to pull data from relational databases efficiently, SQL is a must-have skill. Whether you learn PostgreSQL, MySQL, Microsoft SQL Server, or something else, it doesn't matter in my opinion. The moment you learn one, you'll easily be able to write queries in any other SQL dialect. It is estimated that 75% of Fortune 500 companies use SQL and that it is the third most popular tag on Stack Overflow. Next up, Python. I love it because its flexibility makes it one of the best, if not the best, programming languages in data science and analytics. It is the second most used programming language on GitHub, and if you're wondering why I'm not recommending the first, it's because it's JavaScript, and it's used mainly for web development, not data analysis. Useful libraries to learn from a data analytics and data science point of view would be pandas, NumPy, Matplotlib, Seaborn, SciPy, and PyTorch libraries. I won't even start listing the companies that use Python because we'd be here forever, but just think of any large worldwide company really: Google, Spotify, Walmart, Apple, Microsoft, and so on and so forth. Up next, let's cover some visualization tools because, let's be honest, if you want to communicate data insights effectively, you'll need great data visualization skills. There are over 3 million Tableau Public profiles, and of course, this does not take into account the paid enterprise Tableau licenses, so the real number of Tableau users is higher, much higher. This article from 2016 estimated that there were over 5 million Power BI users, so I cannot even imagine how many there would be now. And let me just list some companies from the official Tableau website that run Tableau: Verizon, Lenovo, Lanza, British Airways, and obviously many, many more. And here are some companies that use Power BI: Vodafone, Walmart, ExxonMobil, T-Mobile, and again, obviously many, many more. I always recommend learning either Tableau or Power BI as your visualization tool because they dominate the market. With that said, in my own ultimate data portfolio, I have a project in both Tableau and Power BI, but learning one is definitely enough. Now let me talk about cloud skills quickly. With technology evolving and many companies moving from on-prem to the cloud, and many other companies being founded in the era of the cloud and therefore running everything in the cloud, these cloud skills are also important. If you decide to learn cloud skills, please go with either Amazon Web Services, Azure, or Google Cloud because, as you can see, they dominate the market share. These are the top three cloud platforms, and if you are a beginner, just stick with one of these to avoid learning cloud skills that are not used by most companies. Netflix and Airbnb are major AWS users. Microsoft obviously relies heavily on Azure, and Spotify uses Google Cloud, just to name some large companies. And I'm afraid that's it. That's the end of this video. These are the most known data analytics tools for 2025 and the near future. Whether you're just starting out or looking to upscale, mastering these tools will set you up for success in the evolving world of data. If you enjoyed this video, you should check out my website for more data analysis resources, including my free newsletter and my data analysis bundle. And you should also probably check out these videos right here. Thanks so much for taking just a little time out of your day to watch this, and I shall see you in the next one.

00:16

Speaker A

demand data analytics tools that top companies are using today and will continue to rely on in 2025 and much further beyond that if you're new to the channel my name is moan and I work as a data and analytics manager and I have

00:32

Speaker A

over 6 years of experience working with complex big data in the financial services industry I love getting straight to the point so let me just do that with the first tool Microsoft Excel it is estimated that there are anywhere

00:48

Speaker A

between 750 million to 1.2 billion people who use Excel on a monthly basis now I have to add here that it is also estimated that Google workspace which includes Google gole sheets of course is used by about 2 billion people on a

01:04

Speaker A

monthly basis just to give you a quantity comparison but this figure can be misleading in the sense that most large companies tend to use Microsoft products it is estimated that four out of five so 80% of Fortune 500 companies

01:21

Speaker A

use Microsoft 365 and hence very likely Microsoft Excel as well I always recommend learning Excel over any any other spreadsheet tool because Microsoft products dominate the big corporate world and it is simply so much more powerful than say Google Sheets its

01:40

Speaker A

biggest competitor before I move on to the next tool let me show you a place where you could learn all of the technical skills I mentioned today and much much more no matter what dat or career you want to have whether that's

01:53

Speaker A

becoming a data analyst a data scientist or even a machine learning engineer course Sarah's new data career Hub has all of the answers for you let's take data analysis for example you can use the free career guides to help you

02:09

Speaker A

decide what you should actually learn the top courses I would recommend if you're after generalist data analyst courses and certificates would be the Google data analytics professional certificate and the IBM data analytics with Excel and R professional certificate if you want something that

02:27

Speaker A

is very much business focused then you should go with the Google business intelligence professional certificate and if you're after specialist courses and certificates then I would recommend you go with either the Tableau business intelligence analyst professional certificate or the Microsoft powerbi

02:46

Speaker A

data analyst professional certificate by the way did you know that you can get 50% off right now from your corsera Plus subscription through which you would of course gain access to all of the courses I mentioned before so make sure you

03:02

Speaker A

check out the corsera data career Hub and get started with corsera Plus at a huge discount using the links in the description below and a huge shout out to corsera for sponsoring this video so the next tool I'll cover is SQL which

03:20

Speaker A

stands for structured query language and I think of it as the Cornerstone of data retrieval if you want to pull data from relational databases efficiently ask SQL is a musthave skill whether you learn postgress SQL MySQL or Microsoft SQL

03:36

Speaker A

server or something else it doesn't matter in my opinion the moment you learn one you'll easily be able to write queries in any other SQL dialect it is estimated that 75% of Fortune 500 companies use SQL and that it is the

03:52

Speaker A

third most popular tag on stack Overflow next up python I love it because its flexibility makes it one of the best best if not the best programming language in data science and analytics it is the second most used programming

04:07

Speaker A

language on GitHub and if you're wondering why I'm not recommending the first because it's JavaScript and it's used mainly for web development not data analysis useful libraries to learn from a data analytics data science point of view would be the pandas the numpy the

04:24

Speaker A

math plot lib the Seaborn scipi and pyit learn libraries I won't even start listing the companies that use Python because we'd be here forever but just think of any large worldwide company really Google Spotify Walmart Apple Microsoft so on and so forth up next

04:42

Speaker A

let's cover some visualization tools because let's be honest if you want to communicate Data Insights effectively you'll need great data visualization skills there are over 3 million Tableau public profiles and of course this does not take into account the paid

04:59

Speaker A

Enterprise taable licenses so the real number of Tableau users is higher much higher this article from 2016 estimated that there were over 5 million powerbi users so I cannot even imagine how many there would be now and let me just list

05:15

Speaker A

some companies from the official Tableau website that run Tableau Verizon Lenovo Lanza British Airways and obviously many many more and here's some companies that use powerbi Vodafone Walmart Exxon Mobile T-Mobile and again obviously many many more I always recommend learning

05:36

Speaker A

either Tableau or powerbi as your visualization tool because they dominate the market with that said in my own ultimate data portfolio I have a project in both Tableau and powerbi but learning one is definitely enough now let me talk

05:53

Speaker A

about Cloud skills quickly with technology evolving and many companies moving from on pram to the cloud and many other companies being founded in the era of the cloud and therefore running everything in the cloud these Cloud skills are also important if you

06:09

Speaker A

decide to learn Cloud skills please go with either Amazon web services aour or Google Cloud because as you can see they dominate the market share these are the top three Cloud platforms and if you are a beginner just stick with one of these

06:25

Speaker A

to avoid learning cloud skills that are not used by most companies Netflix and Airbnb are major AWS users Microsoft obviously relies heavily on zwer and Spotify uses Google Cloud just to name some large companies and I'm afraid that's it that's the end of this video

06:45

Speaker A

These are the most know data analytics tools for 2025 and the near future whether you're just starting out or looking to upscale mastering these tools will set you up for success in the evolving world of data if you enoy

07:00

Speaker A

enjoyed this video you should check out my website for more data analysis resources including my free newsletter and my data analysis bundle and you should also probably check out these videos right here thanks so much for taking just a little time out of your

07:17

Speaker A

day to watch this and I shall see you in the next one

Topics: data analytics tools Microsoft Excel SQL Python Tableau Power BI cloud computing AWS Azure Google Cloud

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