Everything you need to know to become a data analyst!
by Shivani Muthyala
September 25, 2021
Roles and responsibilities: A data analyst is someone who interprets data and turns it into information that can help make business decisions. Usually, data analysts collect information from different sources and trends. After collecting information, the data is interpreted thoroughly. The main responsibilities of a data analyst are to collect, interpret, analyze data and report it to the relevant members of the sales team. Along with this, a data analyst must also work with teams within the company or management to establish the needs of the business. He / She is also called upon to define new data collection and analysis processes.
Average salary (per year): $ 69,959
- A degree in mathematics, or computer science or statistics, or economics
- Experience in data models and reporting packages
- Excellent knowledge of databases and programming
- Knowledge of data collection, organization and analysis
- An analytical mind for problem solving
The 3 best online courses:
Nanodegré Data Analyst – Udacity: teach the skills and tools necessary for a career in data analysis. The course covers both theory and practice, including regular one-on-one mentor calls with the active student community and career support services. It is best for students with experience in Python and SQL programming.
Data Analyst Immersion (Reflective): this is an intensive full-time training program. He has a personalized schedule to help keep students on track. The program includes Storytelling with Data, Excel Foundations, SQL Foundation, Tableau, Business Research, Python Foundation, and Capstone Phase. During the final phase of Capestone, students are trained to build their final projects as well as two culturally appropriate interviews.
Data Science Specialization Course: This is a program offered with Johns Hopkins University, a ten-course program that helps to understand the data science pipeline from the basic levels. Students with a beginner’s level of experience in the Python programming language can easily take the course.
Top 3 educational institutions Institutes offering the program: with diploma:
- Bachelor of Computer Science with Data Science and Economics: Massachusetts Institute of Technology.
- BSc in Data Science and Master in Data Science: Imperial College London
- License and Master in Data Science: ESSEC – CentraleSupelec
The best recruiters for this position:
Amazon: Amazon is one of the largest ecommerce companies in the world and is also among the top data science recruiters in the world. Amazon is a data giant and to understand data intensity it needs data analysts for its core operations, from streamlining marketing, logistics and inventory management to sales expectations and even human resources analysis.
Fractal analysis: It has grown into one of the country’s leading analytics service providers. The company has a global presence with several Fortune 500 companies in industries such as retail, insurance, and technology. It has many branch offices in all parts of India which are hiring new positions.
LinkedIn: The company was one of the first companies to have a team of data scientists. Data scientist operations also need data analysts. Since it is a social networking service, it enables its users to excel in their professional connections. It also requires data interpreters to understand and empower businesses to make better decisions.
Deloitte: It has been part of the Big Four, providing services such as advisory, financial advice, tax auditing and enterprise risk across the world since 1845. Data analysts at Deloitte undertake several analytical projects that can be multidisciplinary. Their responsibility is to simplify complex and big data and make sure my clients are easy to understand.
MuSigma: The company is the largest provider of solutions related to scientific decisions and analysis. The data analyst here would involve analyzing the data, adjusting it and simplifying the evaluation of the results. These results are then used to make crucial decisions in organizations.
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