5 Amazing Data Science Tools You Must Know

Data Science is undoubtedly the sexiest profession of the 21st century. As an emerging field of technology, data science requires the knowledge of a few specific tools that can land you an amazing salary package. Here, we’re sharing the data science tools that you must know to pursue your career as a data professional.

Data Science is a combination of algorithms, programming language, business intelligence, and machine learning technologies. A data professional handles processes like data analysis, data visualization, database management, predictive analysis, data engineering, creating interactive dashboards for business processes and much more.

You’re reading the article, 5 Amazing Data Science Tools You Must Know.

There are a variety of data science tools available in the market that you can learn and get a handsome salary as a data science professional.

Data Science Tools Used by Companies

1. Python

2. Pandas

3. SQL

4. Scikit Learn

5. Microsoft Power BI

In our data science tools series, now we’re going to explain one by one all the tools and their use in the industry.

1. Python: Python programming language is one of the most popular and useful tools nowadays for companies around the globe in the data science field. Python has been around since 1991 but it became incredibly popular in the last 5-6 years due to its features.

Python is one of the easiest programming languages and is preferred by almost 70% of companies who work in data science. Python is a powerful data science tool due to its properties. To learn more about why Python is the most popular programming language, you can read our article Why Learning Python is Useful in 2022.

If you’re a fresher in the data science field and have no coding background, you can browse this amazing course that trains in Python programming language and make you ready for the position of a data analyst.

Python For Data Analytics Certification Program

You’re reading the article, 5 Amazing Data Science Tools You Must Know.

2. Pandas: Python has a large range of pre-written codes called libraries. Around 1.3+ lacs Python libraries are available for different tasks and Pandas is one of them. Used for performing data analysis, Pandas is one of the most preferred data science tools by companies in the field of data analysis.

Due to its scalability, Pandas has replaced MS Excel in the field of data analysis. If you want to take a deep dive into how Pandas is better than Excel,, you can read our article Why Pandas Library has Replaced MS Excel For Data Analysis?

If you’re interested in learning the Pandas library from scratch and pursuing your career as a data analyst, here is the most affordable and amazing industry-led certification course that you can browse on the internet.

Python For Data Analytics Certification Program

3. SQL: generally used for database management, SQL also holds a good reputation in the market. Considered a good data science tool for database analysis, it is a query-based tool and is used in collaboration with almost all the software on the internet.

Structured Query Language (SQL) is one of the most popular tools in the market companies use it with low budgets but high scalability.

After limited scalability, SQL becomes incapable of performing big data analysis due to its features. But, companies only performing small data analysis, can successfully use this data science tool.

If you’re interested in learning the basics of SQL from scratch and exploring your career as a database manager, you can opt for this amazing course by Console Flare.

Python For Data Analytics Certification Program

You’re reading the article, 5 Amazing Data Science Tools You Must Know.

4. Scikit Learn: Machine Learning is one of the most trending fields of study in the 21st century and it is still growing. used for the predictive analysis, Scikit Learn tool is a data science tool that uses machine learning to predict the future outcomes of a model based on the pattern, algorithms, and past data.

If you’re new in the data science field or only have knowledge of data analytics, but want to upskill yourself with advanced data science tools like Scikit Learn, you can join this amazing certification program led by industry expert trainers.

Masters in Data Science Certification Program

5. Microsoft Power BI: Business Intelligence is the need of the 21st-century companies that are adopting it in a very frequent manner. Companies using BI tools are way ahead in terms of growth than those that are not.

Power BI is a business reporting & process automation tool by Microsoft. Released in 2014, it has made its way to the top in BI tools, leaving its biggest competitor Tableau behind.

Used by almost 60-70% of companies around the world, it gives you the ability to create interactive & dynamic dashboards based on the received data. You can also create immersive reports in the form of graphs, charts, and other visual elements and share them with your team.

If you are willing to pursue your career in the data science field and want to learn this amazing data science tool, you can join this amazing course by Console Flare.

Masters in Data Science With Power BI

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