Data Analytics - The 9 Essential Tools! (2024)

Discover the 9 essential data analytics tools every analyst should know in 2024, including Excel, Python, R, Tableau, and more.

Key Takeaways

Data analysts rely on a mix of programming languages and software tools tailored to different tasks.
Visualization tools like Tableau and Power BI simplify complex data for broader audiences.
Open-source languages Python and R are essential for data wrangling and statistical analysis.
SAS remains a widely used tool for advanced analytics in the industry.
SQL is fundamental for database querying and management.

What the video covers

The video provides a rapid overview of nine key tools used by data analysts in 2024.
Microsoft Excel is highlighted for basic queries, pivot tables, charts, and VBA macros.
Tableau is introduced as a leading data visualization and business intelligence software.
Python is described as an open-source language ideal for data wrangling and handling complex datasets.
R is presented as a complementary open-source language for statistical computing and high-quality graphics.
SAS is noted for advanced statistical analysis, customizable options, and publication-quality graphics.
SQL is used for accessing and manipulating databases through structured queries.
RapidMiner is mentioned as a software package for data mining.
Power BI is covered as a business analytics tool for data visualization and sharing insights organization-wide.
The video encourages viewers to check the description for the full list and invites comments and subscriptions.

Chapters

What are the main programming languages recommended for data analysts?

The video highlights Python and R as the primary open-source programming languages used by data analysts for data wrangling and statistical computing.

Which tools are best for data visualization according to the video?

Tableau and Power BI are emphasized as the leading tools for data visualization, helping analysts create dashboards and share insights effectively.

Is Microsoft Excel still relevant for data analysis?

Yes, Microsoft Excel remains a fundamental tool for running basic queries, creating pivot tables, charts, and using VBA macros to automate tasks.

Full Transcript — Download SRT & Markdown

Speaker A

Tool number four, R. Oh, it's got me. Hey, in this video, we're gonna give you a super fast breakdown of the nine tools you'll be using as a data analyst. Let's dive in. This is gonna be a super fast video, so strap in, and all the tools are gonna be listed in the description below.

Speaker A

listed in the description below tool number one Microsoft Excel Microsoft Excel may be used by data analysts to run basic queries and to create pivot tables graphs and charts excel also features a macro programming language called visual basic for applications

Speaker A

Tool number one, Microsoft Excel. Microsoft Excel may be used by data analysts to run basic queries and to create pivot tables, graphs, and charts. Excel also features a macro programming language called Visual Basic for Applications, VBA.

Speaker A

this helps to make the data accessible and easy to access for everybody allowing data analysts to effectively share their insights and recommendations tool number three python python is an open source programming language which is used to organize and

Speaker A

Tool number two, Tableau. Tableau is a popular data analytics and business intelligence software, which is primarily used as a tool for data visualization. Data analysts use Tableau to simplify raw data into visual dashboards, worksheets, maps, and charts.

Speaker A

especially when it comes to working with more complicated data sets tool number four Rrrrrr r is another open source programming language used for statistical computing often serving as a complementary tool to python r is particularly popular among data analysts because of its output

Speaker A

This helps to make the data accessible and easy to access for everybody, allowing data analysts to effectively share their insights and recommendations.

Speaker A

and algorithms customizable options for analysis and output and publication quality graphics SAS is one of the most widely used software packages in the industry tool number six sql sql stands for structured query language and it's language used to access and manipulate databases

Speaker A

Tool number three, Python. Python is an open-source programming language, which is used to organize and wrangle large sets of data. Data wrangling is a term used in the industry to describe the processing of data in various formats, merging and grouping data, for example, to get it ready for analysis. Python has many built-in features which help with data wrangling, making it a popular alternative to Microsoft Excel, especially when it comes to working with more complicated data sets.

Speaker A

a data analyst i hope you're enjoying our rapid list so far because i am let me know what you think about the tools we've shared so far in the comments below have we missed anything let us know tool number seven RapidMiner RapidMiner is a software package used for data mining or

Speaker A

Tool number four, R. R is another open-source programming language used for statistical computing, often serving as a complementary tool to Python. R is particularly popular among data analysts because of its output.

Speaker A

tool number eight power bi power bi is a business analytics solution that lets you visualize your data and share your insights across your whole organization similar to tableau power bi is primarily used for data visualization while tableau is built for data analysts power bi

Speaker A

It offers a great variety of tools for presenting and communicating the results of data analysis.

Speaker A

is popular with both data analysts and non-data experts and that wraps up our super fast list of the nine essential data analytics tools again this is just a super brief introduction to some of the tools and languages which are used in the field you can get a good idea of what tools are most

Speaker A

Tool number five, SAS. SAS is a command-driven software package used for carrying out advanced statistical analysis and data visualization, offering a wide variety of statistical methods and algorithms, customizable options for analysis and output, and publication-quality graphics.

Speaker A

drop them in the comments below if you've enjoyed this video subscribe to the channel for more data content just like this if you've enjoyed this video check out this other video which i've done about data analytics it's a much deeper dive into the field if you want to know more

Speaker A

SAS is one of the most widely used software packages in the industry.

Topics:data analyticsdata analysis toolsMicrosoft ExcelTableauPythonR programmingSASSQLPower BIRapidMiner

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