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How to Start a Data Analyst Career Without Going Back to College

Posted on June 21, 2016

Data Analytics is a promising career on a fantastic growth potential for years to come. Here’s how you can transition into a data analytics career in a few months (without going back to college).

If you’re wondering how to become a data analyst, you’re probably interested in numbers. While others may be put off by seemingly endless data sheets, you find yourself drawn in, fascinated by the opportunity to decipher those (almost) impenetrable walls of information for hidden insights and useful tips. Who could blame you for wanting to make a career out of your enthusiasm and talent in today’s data-driven world?

Fortunately, there are a multitude of books and online courses available to anyone interested in learning how to become a data scientist. Take a look at SysIntelligence’s Data Analyst curriculum to get started right away. This course will cover Introduction to Data Analytics, Business Analytics with Excel, Tableau training, and Power BI. You will also build a solid foundation of programming and data analytics using Python and R, as well as work on a Capstone project. SysIIT, based in Mississauga, had been dedicated to assisting students in establishing rewarding IT careers through training and mentoring. Whether you want to improve your IT skills or make a complete career change, SysIIT can help you get there.

Responsibilities of a Data Analyst

The title of data analyst entails plenty of roles and responsibilities. And understanding one’s responsibilities is the first step toward becoming a data analyst! A data analyst’s typical and expected responsibilities include the following:

  1. Understanding the ObjectiveTo begin, a data analyst must determine the organization’s goal. They must evaluate the available resources, comprehend the business problem, and gather the necessary data.
  2. InquiryData analysts create complex SQL queries and scripts to collect, store, manipulate, and retrieve data from relational databases such as MS SQL Server, Oracle DB, and MySQL.
  3. Data MiningData is mined from a variety of sources and organized to extract new information. As a result, data models are created to improve the system’s efficiency
  4. Data CleansingA data analyst’s primary responsibilities include cleaning and data wrangling. Initially gathered data is frequently jumbled and contains missing values. As a result, it is critical to clean the collected data in order to prepare it for analysis.
  5. Examining DataAnalytical and statistical tools, including programming languages, are used by data analysts to perform a logical examination of data.
  6. Data Trend InterpretationData analysts employ a variety of packages and libraries to detect trends and patterns in large datasets, thereby uncovering previously unknown business insights.
  7. Creating Summaries of ReportsData analysts use data visualization tools to create summary reports. These reports help the leadership team make sound decisions in a timely manner.

Data Analyst Skills

A data analyst must have a diverse set of skills in order to fulfil his or her responsibilities. From domain knowledge to various tools, here’s everything you need to know to become a data analyst.

  1. Domain KnowledgeYou must have a degree in any relevant field and domain knowledge in the area in which you work. If you come from a different background and want to become a data analyst, you can if you have the necessary skill set.
  2. Programming KnowledgeYou should be familiar with programming languages such as Python, R, and JavaScript. Writing programs will assist you in resolving complex problems.
  3. Data Analysis Tool KnowledgeYou should have prior experience working with databases and data analysis software. To analyze trends and drive accurate insights, you should be proficient in writing SQL queries and procedures, as well as familiar with Microsoft Excel, MATLAB, and SPSS
  4. Understanding Statistics & Machine Learning AlgorithmsProbability distributions, hypothesis testing, regression analysis, and various classification and clustering techniques are all required.
  5. Understanding of Data Visulization ToolsA data analyst must be able to generate various business reports using a variety of data visualization tools. You should be familiar with tools such as Tableau, QlikView, and Power BI. In addition, you must have strong communication and presentation skills. This will assist you in communicating your ideas to stakeholders and clients.

Data Analyst Salary

The real question is how to become a data analyst; however, there is one motivation that will undoubtedly push you forward – and that is the potential salary! The average starting annual salary for entry-level data analysts is in the $60,000 range; however, success in the role can lead to senior positions with salaries exceeding $135,000. Data analysts have a lot of opportunities these days, as companies are looking for professionals who can handle their data efficiently and effectively.

Now that you understand what data analytics is, who a data analyst is, what a data analyst’s responsibilities are, and how to become a data analyst, you’re ready to begin your learning journey and prepare for a data analyst interview. So, what are you holding out for? Your ideal job position is just a click away. Begin learning right away from SysIntelligence’s Data Analyst curriculum.



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