Data analytics is an intellectually stimulating field that pays well and offers the flexibility to work from home. If you are interested in becoming a data analyst, it is important to know that it can be challenging to get your first job without a four-year college degree. Most job postings require a bachelor’s degree, making it more difficult for those without one.

To be a successful data analyst, you need to have a combination of hard skills and soft skills. Hard skills refer to technical or software experience, while soft skills are interpersonal skills that make you effective at working collaboratively with others to achieve business goals.

According to the speaker in this YouTube video, the most important hard skills for a data analyst are SQL, Tableau, knowledge of statistics, Power BI, Python, Excel, and R. These hard skills fall into three broad categories: data extraction and manipulation, data visualization, and statistics and analytics.

CREDIT TO: Data Wizardry  Josh is a senior data analyst in the healthcare industry with eight years of experience. His YouTube channel provides insights and tips on data analytics and visualization for beginners and experts alike.

Excel is a ubiquitous tool that is commonly used in businesses, making it an excellent place to start learning about data analytics. Excel allows you to manipulate data, run statistical analyses, and create graphs and charts. To become proficient in Excel, you can start with basic exercises such as building a budgeting spreadsheet.

After Excel, the next skill to learn is SQL, which is a programming language that allows you to write queries that pull data for you. SQL also enables you to merge data sets and create data extracts that can be consumed by other software for further analysis and reporting. SQL Zoo is a great website for learning SQL, as it offers free exercises and puzzles.

Tableau and Power BI are examples of data visualization software. They allow you to make sense of your data through a series of graphs, charts, and tables. These figures can be combined into a centralized dashboard that allows you to assess your company’s performance in various areas. Tableau is more beginner-friendly and can be downloaded for free from the Tableau website.

Python and R are object-oriented programming languages that allow you to write code to visualize data, manipulate data, and run statistical analyses. They are powerful tools that can be used in all three categories of data analytics.

Soft skills are harder to cultivate but are equally important for a successful data analyst. Soft skills include presenting complicated information to non-technical people, being organized, having relentless curiosity, good teamwork and customer service skills, and being detail-oriented. These skills can be developed by looking for opportunities to engage in public speaking, practicing note-taking, finding a mentor, and emulating role models who embody these qualities.

In conclusion, becoming a data analyst requires a combination of hard and soft skills. To become proficient in the hard skills, it is essential to learn Excel, SQL, and a data visualization tool such as Tableau. Python and R are also essential skills to have in your toolbox. Soft skills can be developed over time by practicing public speaking, note-taking, and finding a mentor or role model. By cultivating these skills, you can set yourself up for a successful career as a data analyst.


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  • Mya Longton

    Bromley, England, United Kingdom · Freelance Writer · Skin Care HQ I'm totally fanatic about further education, family, health, beauty, love cooking and traveling. Look forward to sharing best ideas with as many people as possible.

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