Data science careers have become the talk of the town lately. It is the fastest-growing industry worldwide. Understanding consumer behaviour is the most powerful weapon for the current marketing age. There is an explosion of data everywhere and using this data to bring the best strategies is the job of a data scientist.
Data Science engineers are in limited supply right now. It makes sense that there would be a lot of competition and opportunity in a sector that is as well-known and developing as data science. In this blog, we will read about varieties of careers in data science.
Career in data science:
Data is used in practically every industry. Although data is in abundance, it needs to be structured and targeted to bring desired results.
If you’re interested in a career in data science, there are a lot of options available to you. You can work as a data analyst, data scientist, or software engineer in the field. You can also teach data science courses at colleges and universities. In order to be successful in this field, you need to have strong quantitative skills and an understanding of computer programming. You’ll also need to have excellent communication and problem-solving skills.
Data science is about cleansing and utilising the data to make future predictions and strategies. There are numerous career options in data science and almost every sector like banking, finance, insurance, entertainment, telecommunication, automobile, etc. Following are the career options in data science.
Data Scientist
Data scientists come up with the questions their team should be asking and work out how to use data to provide answers. In the data scientist job, you find patterns and trends in datasets to bring out insights. Additionally, to enhance the quality of the data or product, they employ machine learning techniques.
Required skills:
- You need to have basic knowledge of programming languages, such as Python, SQL
- An understanding of analytical tools is a helpful data scientist skill
- Pro at machine learning and deep learning
- Basics of excel
- Data visualisation
Average base salary:
Data scientist package in India is 8-10 lakh per annum.
Data Analyst
A data analyst is a person whose duty is to collect and analyse data to address a particular issue. In addition to spending a lot of time with data, other demands are writing reports, creating visualisations like charts and graphs, and delivering information.
Required skills:
- The most crucial skill is probably SQL because practically all data analysts will need to utilise it to gather data from a company’s database.
- A good foundation in probability and statistics
- Polished skills on tableau, Excel, power bi, Python
- Data analysts aren’t expected to have a mastery over machine learning but it gives you a competitive advantage
Average base salary:
Average Data analytics salary in India is 4-6 lakh per annum
Data Architect
Data architects and data engineers collaborate closely with the teams who develop our software and applications. The job of the data architect is to continuously monitor the database and take immediate action to fix any errors. Data architects also create the processes and flows for managing data.
Required Skills:
- Bachelor’s degree in one of the following disciplines: computer engineering, computer science, IT or a related field
- Foundational database skills and SQL
- Since data architect is not an entry-level role, people should gain as much IT experience as possible
Average base salary:
Data Architect package in India for a fresher is 8-10 lakh per annum
Data Engineer
Big data is transforming how we conduct business and putting demand on data engineers who can gather and manage vast amounts of data. Data engineers design systems that collect, manage, and turn raw data into information that data scientists and business analysts may use to evaluate in several contexts. Their ultimate objective is to open up data so that businesses can utilise it to assess and improve their performance.
Required skills:
- Basic knowledge of programming languages like Python, Golang, and Ruby
- Knowledge about employing data warehousing tools like Redshift or Panoply
- Strong grip on analytics tools like Tableau, Knime, and Apache Spark
- In-Depth understanding of database management
- Strong understanding of analytics software
Average base salary:
Data Engineer package in India is 6-8 lakh per annum
CloudyML – Your sure-road to success
Data Science is a brilliantly blossoming field. Every year, there is a greater demand for data science persons than the available qualified candidates to fill those positions. The US Bureau of Labor Statistics projects that there will be 23% more data analyst job vacancies between 2021 and 2031.
To make you safely land your dream data science job, CloudyML has come up with detailed data science courses. The best thing about CloudyML courses is that they explain the concept most simply. They also have a doubt-clearing chatbot where you can ask your queries.
Unlike other data science courses, CloudyML has extremely affordable courses. Courses start from just INR 2990. The learning-by-doing approach and hands-on guided assignment prepare you for data analytics interview questions. Start building many of these data analyst job-ready skills with CloudyML and make the maximum of your learning. If you are interested in a career in data science, be prepared to invest time and effort into learning new skills. You will need to have strong programming skills and be able to use various software packages. You will also need to have mathematical abilities and knowledge about statistics. In order to become a successful data scientist, you will likely need to have experience working with databases and machine learning algorithms.