In recent times, data science has gained significant attention and has emerged as one of the most widely discussed fields. Due to the lucrative job opportunities available in the field, a lot of new students are attracted to the course. Even some working professionals consider data science a great way of switching up their careers.
Data science is an interesting career path. You get to face new challenges and do unique work every day on the job. Companies pay data scientists well because their job is valuable, and companies can make better decisions with the help of data science.
Knowing what skills are essential for becoming a successful data scientist is important. But first, let’s learn about what data science means and why it’s a great career path.
What is Data Science?
Data science is an academic field that deals with extracting meaningful information from data. It combines statistics, science, technology, and processes to take out useful knowledge and insights from unstructured data. The field also makes use of Artificial Intelligence and Machine Learning to achieve this objective.
Why is Data Science a Lucrative Career Option?
We live in a data-heavy world. Due to the internet and technology, there’s so much data available to use that companies need experts to extract useful information from it. The humongous amount of data available can confuse a company. The company requires skilled professionals who can sift through the data and transform it into valuable insights that can inform the company’s decision-making. Data assists companies in comprehending their customers’ desires and discovering ways to enhance their services accordingly. Many industries, like healthcare, insurance, consumer products, etc., regard data science as a highly important part of their business.
This has given rise to amazing opportunities for those who have pursued data science as their career path. Job opportunities are plenty, and they are continuously growing.
Skills and Knowledge Required for Doing Data Science Master Degrees
As data science has become a lucrative career option, you must be thinking of pursuing a master’s degree in data science. Many universities offer great programs in data science for students. But data science programs can seem difficult if you are totally unfamiliar with the field. Before embarking on your Master’s program, it is crucial to acquire the requisite knowledge and skills to ensure thorough preparedness.
Let’s explore some skills required for data science master’s programs and how you can learn them through the best data science course available for that skill.
1. Programming Languages and SQL
Before you choose data science as your career path, you must be familiar with the basics of the field. Moreover, this can also provide you with an indication of whether you genuinely have an interest in the field or not. Programming languages like Python are one of the basics of data science. SQL is another language used by them for creating and manipulating a database. These skills are the foundations of being a good data scientist.
Before starting your Master’s degree, you can pursue a short boot camp course that introduces you to the foundations of data science, along with the basic knowledge of Python and SQL. This 5-month data science boot camp by Great Lakes can be a good option. This short course is 5 months long, and it is held in Bangalore, Chennai, Gurgaon, Pune, and Hyderabad. Moreover, it will assist you in cultivating a solid grasp of the discipline while also honing your expertise in indispensable tools like Python, SQL, and machine learning methodologies.
2. Data Analysis
Data analysis is an essential skill that a good data scientist must have. As a data scientist, you will need to analyze huge amounts of data to create useful information from it. Before starting your master’s degree, you can learn the basics of data analysis to get a head start. You can get familiar with the basic concepts and the analysis tools like Tableau, Power BI, Qlikview, etc. These tools are used by some of the biggest companies where you might work in the future.
Doing a short course about data analysis in advance can be a great idea. The 4-month long data analysis program designed by Great Learning can be the best data science course for you. It covers the basics of data analysis, including the use of Excel, SQL, Python, Tableau, etc. It also has hands-on projects for practical experience.
3. Machine Learning and Artificial Intelligence
Artificial intelligence and machine learning have become indispensable parts of data science. These can make the data scientist’s job easier by helping him handle large databases. Having these skills can make you stand out from other candidates during the course and even while looking for a job later.
You can start by doing the course about data science and machine learning course designed by the Massachusetts Institute of Technology. You will get personal mentorship and hands-on training about machine learning, NLP, Chat GPT, Generative AI, and more.
4. Decision Making and Problem- Solving
Decision-making and problem-solving skills are important for data science jobs. Continuously generating innovative solutions to process and leverage data effectively is a constant requirement. Making informed decisions at each stage is crucial for accomplishing your job proficiently.
These are soft skills that can be learned with experience. But doing a dedicated course about decision-making in the field of data science can give you an edge over the others. The National University of Singapore has created a course about ‘Practical Decision Making Using Data Science’ to teach how to make optimal decisions using data science. It covers the knowledge of tools like Excel and Knime, along with training in making better decisions.
Data science is an emerging field with high-paying job opportunities in some of the best companies in the world. Learning the above skills in advance can give you an edge over other students while pursuing a master’s in data science. If you pursue the courses mentioned for each skill, you can be prepared with the basic skills required for becoming a good data scientist. Additionally, you will be able to get an idea of what a data scientist does and what to expect.