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DATA ANALYTICS CAREER ROADMAP FOR FRESHERS INRODUTION The domain of data analytics is one of the emerging career areas with numerous openings available for freshers. Companies employ data to comprehend their performance and decision making. To begin a career in data analytics as a beginner, it is important to have the appropriate skill set. Entering into the field of data analytics may appear to be a tough job for beginners; however, with the help of an appropriate learning plan, the task can be made easy. With the possession of appropriate knowledge and experience, freshers can easily enter into the field of data analytics What is Data Analytics?Data analytics is the activity of gathering, arranging, analyzing, and interpreting information from which something useful can be learned. Data analytics is used by companies to understand their customers' behavior, performance, and other trends. A data analyst deals with all kinds of information and transforms raw data into valuable insights for a business's growth. Why Consider a Career in Data Analytics? In today’s world, data has become very relevant for every organization. It helps in making well-informed decisions in areas like marketing, finance, healthcare, and e-commerce. Some of the reasons for considering data analytics as a career option are High demand for data professionals A wide range of industries offering jobs Bright career prospects Chances for fresher entry into the profession Working with advanced technology and tools Constant scope for skill development Career Path for Data Analytics Job for Fresher There is a step-by-step path that freshers can take in order to build the requisite skills for a career in data analytics.1. Study Basics of Data Analytics The first step for any fresher would be to understand the basics of data analytics. This includes learning various forms of data, data gathering, data cleansing, data visualization, and data analysis. 2. Excel Learning Microsoft Excel is one of the most frequently used software to work with data. Some of the important Excel functionalities that fresher candidates must learn include: Formula and function Sorting and filtering Pivot tables Chart and graphs Data cleaning Conditional formatting Good Excel knowledge will help them work on datasets effectively. 3. Learn SQL SQL (Structured Query Language) is a very vital skill for data analysts who need to interact with the database and extract relevant information. Freshers should know about: Freshers should know about: SELECT statementsWHERE clause GROUP BY ORDER BY JOINS Aggregations Subquery The learning of SQL will help data analysts deal with a lot of business data. 4. Learn Data Visualization Data visualization enables data to be presented in graphs and dashboards that can easily be understood by others. Freshers can learn software such as Power BI or Tableau. Data visualization should convey meaningful insights in a clear manner. 5. Learn Basic Statistics Statistics is a very important aspect of data analysis and beginners should have knowledge about some of the basic aspects of statistics which include: Mean, median, and mode percentage 6. Learn PythonPython is widely used in data analysis because of its simplicity and powerful libraries. Freshers can start with Python fundamentals and gradually learn libraries such as Pandas, NumPy, and Matplotlib. Python can be useful for data cleaning, analysis, and visualization, especially when working with larger datasets. 7. Work on Practical Projects Learning concepts alone is not enough to build a career in data analytics. Freshers should work on practical projects to apply their knowledge. 8. Build a Strong Portfolio A portfolio can help freshers showcase their data analytics skills. Include your best projects along with a short explanation of the problem, tools used, analysis performed, and insights discovered.You can showcase projects through platforms such as GitHub, LinkedIn, or a personal portfolio website. 9. Prepare for Data Analyst Jobs Once you have developed the necessary skills and completed some projects, start applying for entry-level opportunities. Some roles to consider include: Junior Data Analyst Data Analyst Intern Business Analyst Intern Reporting Analyst MIS Analyst Junior Business Intelligence Analyst Make sure to draft your resume and prepare common interview questions on Excel, SQL, statistics, Power BI, and projects. Technical Skills Needed For Data Analytics Freshers need to work on technical as well as soft skills to make a career in data analytics. Technical Skills Excel SQL Power BI/ Tableau Python Basic Statistics Data Cleaning Data Visualization Soft Skills Analytical SkillsProblem-Solving Skills Communication Skills Attention to Detail Understanding of Business Presentation Skills Closing Remarks