Over the past few years, there have been an increasing demand for data analytics and data engineering roles. In fact, according to the U.S. Bureau of Labor Statistics, more jobs are anticipated to become available for data analysts and engineers than for any other professions between 2021 and 2031.

1. Machine Learning

By creating effective and quick algorithms and data-driven models for real-time processing of  data, Machine learning can produce accurate results and analysis.

2. SQL                                                                                                        Structured Query Language (SQL) is the standard language used to communicate with databases. Knowing SQL enables you to change data structures and query, organize, and update data stored in relational databases. 

3. Statistical programming

You can execute complex analyses using statistical programming languages like SAS, Python, and Tableau. You can more effectively clean, analyze, and visualize huge data sets if you write programs in these languages. 

4. Big Data

Data collected from the Internet, social media, IoT, mobile devices and other industries have been dramatically growing along with the development of computation, storage, and networking abilities. Through big data processing technologies like RDBMS, Hadoop, SQL, Python, and Spark, it is possible to extract values from such vast amounts of data.

5. Data Visualization

Improving your data visualization skills often means learning visualization software, like Tableau. You may turn your analysis into dashboards, data models, visualizations, and business intelligence reports using this widely used software.