Top Data Scientist Skills You Need to Succeed in 2025
Data scientist has become one of the fastest growing and highly paying careers in recent years. There is an increased demand for data scientists as the world is significantly relying on data oriented decisions. If you are interested in pursuing a career as a data scientist in 2025, these are the five important data scientist skills that you can develop to excel in this field.
Who Is A Data Scientist ?
An organisation can produce and store data in various formats, including relational database, Excel sheets, PDFs, APIs, cloud storage and unstructured storage like texts and images. The data is cleaned, reprocessed and transformed from its raw nature into usable and actionable data.
A data scientist plays a key role in this process by handling large volumes of data to draw conclusions. They use data to fuel the growth of the company through insights, data products or product recommendations.To perform such tasks various tools are needed, including developing complicated models, data visualisation methods and coding. But, fundamentally, a data scientist is someone who solves real company problems by using data.
Key Data Scientist Skills
For data scientists to tackle real company problems various skills ranging from programming to data visualisation are required. Below we discuss some of the primary skills that are vital for this role.
Programming
A deep knowledge of programming languages is an important data scientist skills in having a successful career. Mastering Python can increase your chances of landing a high-paying job. Along with Python, learning other programming languages such as R, that is used for statistical analysis, data visualisation and machine learning and SAS which is used to perform complex statistical analysis, can be greatly beneficial.
Version Control Systems
Version control systems are used to track the project history and changes in codes to easily assist in the debugging process without starting from scratch. One of the most popular version control systems in the world is git.
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SQL and Data Base Management
SQL stands for Structured Query Language. It is a domain specific language that is used to communicate with relational databases. It is a widely used language in various industries to access, organise and analyse data. For instance, an e-commerce company like Amazon, might apply SQL to analyse sales data and trends to make informed decisions that boost their growth. It is one of the most important data scientist skills to learn.
Machine Learning
As a data scientist you need to get a solid grasp of Machine Learning fundamentals. Machine Learning enables computers and machines to mimic the way humans think without specific programming. It is one of the most essential data scientist skills to learn.
Machine Learning algorithms fall under mainly two categories, supervised and unsupervised. The supervised learning model uses labeled data to learn, which means each input comes with a known output. On the other hand, in unsupervised learning, the model deals with unlabeled data and figures patterns and relationships on its own.
To implement these machine learning techniques it is important to be familiar with tools like TensorFlow, PyTorch and scikit-learn which are built to train machine learning models.
Data Preprocessing and Visualisation
Data visualisation involves cleaning and presenting data in a visually appealing manner. As a Data Scientist you will be required to learn Python libraries like Pandas and Numpy to manipulate and clean data.
And once the data is transformed from its raw form into a more understandable format, a data scientist presents it as interesting charts, graphs and dashboards. Tools like Power BI and Tableau help in creating interactive dashboards to assist in analysing patterns and to communicate results. These are some of the key data scientist skills to learn and master for a successful career.
Related: Data Scientist Job Description & Roles and Responsibilities
If you are interested in a career in data science, mastering the data scientist skills mentioned above can lead you to a successful career path. While choosing a career it is important to evaluate how well these skills align with your abilities and interests. This article provides key insights to help you determine whether data science is the right career option for you. Developing in-demand skills as highlighted earlier, can guarantee you a high paying career with extensive future scope and growth.
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Frequently Asked Questions (FAQs)
To become a data scientist, the initial thing to do is to pursue a bachelors degree in a relevant field like, computer science, data science, IT or engineering. Also, developing in-demand data scientist skills is essential to excel in this field. Gain relevant experience and certifications along with this to land a higher paying position in the field of data science.
Data analysts analyse existing data and gather insights while data scientists develop advanced models to predict trends.
Usually a data scientist works for 40-45 hours per week which can be varied according to the organisation.
Yes, data scientist is a lucrative career option that offers an attractive salary and many other career benefits that aspirants desire.
In India, a data scientist with experience ranging from 1 to 9 years can earn between Rs.3.8 Lakhs - Rs. 27.9 Lakhs per annum. This can vary according to the experience, qualification, and location of the organisation.
(Salary Source: Ambitionbox)
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Questions related to
Hello student,
When comparing NIT Jalandhar and PEC (Punjab Engineering College) for placements, both colleges offer good opportunities, but there are some differences to consider:
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Placement Rate : Both have strong placement rates, but PEC, being an older and more established institute, often attracts more high-profile companies, especially for core branches like CSE, ECE, and Mechanical.
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Average Package : PEC generally offers slightly higher average packages, particularly in branches like CSE and ECE, as it is located in Chandigarh, a corporate hub. NIT Jalandhar, however, also has competitive placements with good packages, especially for CSE.
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Location Advantage : PEC’s location in Chandigarh provides better internship and job opportunities due to proximity to corporate offices and industries compared to Jalandhar.
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Alumni Network : PEC has a longer-established alumni network, which can be beneficial for placements and networking.
Overall,
PEC might have a slight edge in placements
if both colleges offer the same stream. However, both institutions are reputable, so you can expect good placement support at either one.
I hope this answer helps you. If you have more queries then feel free to share your questions with us we will be happy to assist you.
Thank you and wishing you all the best for your bright future.
hello Aspirant ,
The study of Electronics and Communication Engineering with Specialization in Data science has become essential to cater the growing need for professionals and researchers to deal with the future challenges. You can go for a Masters in Science in fields like Telecommunication Engineering, Microelectronics & VLSI Design, Electronics Design and Technology, Wireless Communication, Signal Processing, Robotics, Embedded Systems or VLSI System Design. If you aspire for managerial roles, you can go for a Masters in B
Research and development
Electronics engineers can follow the M. Tech- Ph. D- Research path innovation and development is what interests them. Organizations like ISRO, DRDO, SAIL and BHEL lead in the research field and are ideal workplaces to engineer new and better technologies for the enhancement of the communication and signal systems.
hope this information was useful .
thank you .
So you can have a rough idea about the two courses but which one is better is something only you can decide as you will know better which subject interests you more.
Hello Apu sarkar, Both the Universities are best for bsc and infastructure is also good but facilities are more in TIU like sports campus, wifi campus, and many more and they all are not in MAKAUT and placement is also good at TIU. So I personally preferred you to go for TIU.
Hope it will be helpful for you :)