How to Become a Data Analyst in 2023 ?

In the past decade, data has become of prime importance. Organizations are investing heavily to ensure the maximum yield universalize of information from the firm’s database. the big question is How to Become a Data Analyst  The need for this extract has risen after the revolution in trade brought about by data analytics. Data Analytics has revolutionized the way the higher management or the owner of the business see’s the data. The insights gained post evaluation and analysis of data and showcasing the same in a visually appealing format or report have modified the approach to business and the campaigns that the firms run to push sales and improve the goodwill of the brand.

How to Become a Data Analyst With No Experience?

Data Analytics is a path of untold possibilities and is expected to grow larger than ever before. Since the revolution of digitization of records has lowered the operating costs for companies. The digitized data is stored in huge data silos called databases either through an outsourced connection or through cloud servers whichever fits the need of the business or startup. Data Analytics helps in gaining insights that might be hidden inside the data.

The Future Scope of Data Analytics

The future of data analytics, in general, is democratization. We have come a long way from only the statisticians or only the number crunchers being able to work with data and then hand it over to the analysts. The term that has been buzzing around the conference rooms is self-service data analytics. Being able to answer the questions of our customers which they don’t even know makes it easily achievable by employing tools like Power BI & Tableau which make it accessible to anybody. These tools do a great job of integrating and implementing a lot of features that require no coding.

Real-time decision-making based on real-time data becomes possible by taking or utilizing some of these advanced data analytics tools which help the user to create a connection between artificial intelligence and machine learning. Data analytics enables the operators to take those complex problems/issues and break them down for business users to understand whilst keeping it simple. The way Power BI & Tableau can drive insights from any basic data set extracted from any database.

Everything around us is data and we just need ways to harness, understand, learn and make good choices based on data analytics. It is here to stay and the next big wave is how we implement it so it stays forever and continues to expand.

A Step-by-Step Guide to Become a Data Analytic:-

There are basic steps with which anyone can start a career as a Data Analyst: –

1. Get a bachelor’s degree in Math or Computer science with a priority on statistical or analytical skills.
2. How to become a data analyst without a degree – The easiest way to do this is to master important data analytical skills.
3. opt for a certification course with Analytics Training Hub to start a data analyst learning path.
4. Get a job at an entry level as a data analyst.
5. Earn a Master’s in Data Analytics.

What does a Data Analyst do After completing a Degree or Certification

The job profile of a Data Analyst: –

• The answer to the question “What does a data analyst do?” will vary depending on the type of organization and the extent to which a business has adopted data-driven decision-making practices.

• Generally speaking, though, the responsibilities of a data analyst typically include the following:

  • Designing and maintaining data systems and databases; this includes fixing coding errors and other data-related problems.
  • Mining data from primary and secondary sources, then reorganizing said data in a format that can be easily read by either humans or machines.
  • Using statistical tools to interpret data sets, paying particular attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts.
  • Demonstrating the significance of their work in the context of local, national, and global trends that impact both their organization and industry.
  • Preparing reports for executive leadership that effectively communicate trends, patterns, and predictions using relevant data.
  • Collaborating with programmers, engineers, and organizational leaders to identify opportunities for process improvements, recommend system modifications, and develop policies for data governance.
  • Creating appropriate documentation that allows stakeholders to understand the steps of the data analysis process and duplicate or replicate the analysis if necessary.

What is the future of the Data Analyst Career & Jobs Opportunities?

As per leading data connoisseurs of the data industry, the job profile of a data analyst seems to hold an extremely promising prospect in the next coming decade or two. The Data Analyst job is a stepping stone and may lead to many of the below-mentioned job profiles depending on your interests: –

You Can Become a Data Engineer:

data engineer would create the platform and the data structure within which all the data from the users would be captured for example what items they buy that are in their cart currently and what is on their wish list they have to make sure that the captured data is stored in such a fashion that is not only well-organized but it’s also easily retrievable. They should be comfortable working with every data source and employ ETL queries to collate data from multiple data sources and then organize all of this data in data warehouses or databases so that colleagues in the company can make the best use of it. To become a data engineer you need to acquire knowledge of languages such as Python, Java, SQL, Hadoop, Spark, Ruby, and C++. Now all of these are not mandatory but they vary from company to company for the job profile of a data engineer.

You Can Become a Business Analyst:

Business analysts are expected to draw insights from the data which would directly impact business decisions. Business analysts are directly involved in day-to-day business activities and there are a lot of ad hoc analyses that a business analyst is expected to do, for example in an e-commerce company a business analyst would help the marketing team identify the customer segments that require marketing or the best time to market a certain product or why the last marketing campaign failed and what to do in future to prevent such mistakes hence for a business analyst a good understanding of business data and statistics is essential.

Business intelligence professional Tools

The tools and languages that would be most commonly used by you as a business analyst would be Excel, SQL, power bi, and tableau. The job profile of a business analyst may also be known as a data visualizer or a business intelligence professional who’s are responsible for creating weekly dashboards to inform the management about weekly sales of different products, the average delivery time, or the number of daily cancellations of orders, etc.

You Can Become a Data Scientist:

A data scientist is a rare gem that employs data that has been existing in the organization to design business-oriented machine learning models. As a starting point, a data scientist can go through the available data of the company to look at various buying patterns identify similar items on the website, and then create algorithms around the same so that the website can automatically endorse products to the users based on the navigation history purchase of the consumer. Now this solution has to be effective enough that it can predict future purchases in real-time for visitors to the website.

Data analysts are expected to perform a lot of unplanned analyses which can facilitate decision-making within an organization. Data scientists on the other hand not only perform ad hoc analysis and create prototypes but also create data products that make intelligent decisions by themselves and this is where machine learning becomes extremely critical. For example, the suggestion you get after you buy a particular item or based on the items that you have on your wish list are because of machine learning models built by a data scientist.

The requisite skill for a data scientist is knowledge of algorithms, statistics, mathematics, machine learning, and programming languages such as Python, C, etc. They should also have an understanding of trade and the aptitude to frame the right questions to ask and find the answers from the available data. Finally, a data scientist should be able to communicate the outcomes efficiently to the team members and all the involved stakeholders.

Salary Scale of a Data Analyst In India:

The salary for a Data Analyst may differ in different organizations. But, a Senior Data Analyst with the right skill and software knowledge may command a high price for the services offered.

• The average salary for an entry-level Data Analyst may start from INR 2.9 lakhs per annum.
• The average salary for a mid-level Data Analyst may start from INR 4.5 lakhs per annum.
• The average salary for a Senior level Data Analyst may start from INR 9.5 lakhs per annum.

Some useful links are Below:

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