Daily Archives: December 29, 2022

5 Easy And Effective Roadmap For Data Analyst

Team Dec 29, 2022 No Comments

It is not surprising that Data Science is growing rapidly and is expected to reach a market worth USD 350 billion by the end of 2022. The hierarchy has been divided into many categories, such as Data Scientists, Data Analysts, Data engineers, etc., and they are monopolizing the IT sector as a result of the increasing demand and speed. This article will act as a roadmap for Data Analysts. 

As per the recent survey, it was found that the market was unsuccessful in fulfilling the demand for Data Analysts for the past couple of years and is the reason people are shifting their careers into the Data Science niche because of the major attraction that this niche offers which is growth and salary opportunities.

An Easy Roadmap For Data Analyst

These easy steps will help you in building your career in Data Science. Data Science is no rocket, you just need to follow a few steps and be dedicated to achieving what you wish. Then becoming a Data Analyst is just a matter of a few months. So without any further delay let us begin with the roadmap for Data Analyst.

roadmap-for-data-analyst
Roadmap For Data Analyst

1. Build Your Foundation

It is very crucial to have your basics ready. The Data Science industry is all about understanding and if you have that, you are almost there. To create a solid foundation, the first step you will have to take is to enroll in a good data analytics course. Learning the basics will help you a lot in your career. Along with this if you get the chance to practice on some real-life industry-level projects then that will help you more. In this respect, we would take some time to tell you about Ivy Professional School. This is a data analytics institute that offers industry-relevant courses along with real-life projects and placement assistance. Ivy understands the importance and scope of Data Science in the present market scenario and creates its courses accordingly. Their courses are led by industry experts and help a lot in enriching your resume with real-life projects.            

2. Build Projects

This is one of the most crucial steps in this roadmap for Data Analyst. As stated above, working on real-life projects will increase the weightage of your resume and will also help you in building confidence. There are a few ways to work on real-life projects:

  • Decide a use case
  • Get your hands on the dataset from Kaggle or any other relevant website. 
  • Apply all your practical learning from the course. 

Here are some of the examples that you can consider in creating your project. 

  • Data cleaning and data wrangling messy data using Python. 
  • Write a SQL query for extracting the data. 
  • Create a dashboard in Tableau with 2-3 views. 

3. Check Your Rapport

Connect and network with like-minded people on Twitter, LinkedIn, or any other social media site you want. For instance, building relationships in this way should be your strategy if you want to improve as an analyst. 

  • Make a list of the companies you want to work for and keep up with them.
  • Make connections with people whose titles match what you’re seeking. Data Analysts, Business Intelligence Analysts, etc.            are a few examples.
  • Make contact with key leaders like VP-Analytics, Director-Analysis, and Senior Data Analyst.
  • Connect with hiring managers and HR staff.

4. Share Your Projects

Let the Data Science industry know you. Showcase your projects on various social media handles. There are a few points to keep in mind while you share your projects. 

  • Include a picture of the dashboard or code.. 
  • Write a few sentences about it to provide background and discuss the motivation behind the endeavor.
  • Share the URL to your GitHub repository or other project storage location.

5. Apply For Jobs

When you have the above-mentioned steps, you can start to apply for jobs. The best thing about the Data Science field is that you can apply for jobs based on specific tools. So suppose you opt for Data Science With Vizualization certification course at Ivy, you can apply for the tools like Excel, or Power BI once they are completed individually. So this is the benefit that this industry offers. 

There are various portals from where you can apply such as LinkedIn, Naukri, Indeed, and many more. But the best among them is LinkedIn. It offers wide exposure to all the spheres of recruitment. Here are some ways by which you can look for jobs in the Data Science domain:

  • Look for startups and MNCs, and inquire as to whether they have any positions that might be suitable.
  • Try websites like Hirect, Cutshort, etc., where business owners may recruit directly.
  • Keep an eye on these leaders’ posts that you have linked with. They frequently immediately share chances through posts.

With this, your roadmap for Data Analyst ends. Follow these steps with determination and smart work to achieve optimum results.

Wrapping Up

Today, billions of businesses produce data every day and use it to inform important business choices. It aids in determining their long-term objectives and establishing new benchmarks. In today’s world, data is the new fuel, and every industry needs Data Analysts to make it useful. The market share of Data Analysts is expected to increase by USD 650+ billion at a CAGR of around 13%, making it one of the most sought-after professions in the world. The more data, the greater the need. So if you are planning to make your career in data analytics then it is indeed the best choice. Hope this roadmap for Data Analyst helped you. You can also get free 1:1 career counseling to clear all your doubts regarding this industry. For.. more details visit Ivy’s official website.

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