From Data to Excellence: The Top 10 Skills Every Data Scientist Needs

From Data to Excellence: The Top 10 Skills Every Data Scientist Needs | Data Science | Emeritus

In India’s dynamic data science landscape, professionals encounter both opportunities and challenges. Moreover, the demand for skilled data scientists has surged as organizations across sectors recognize the power of data-driven insights. Additionally, mastering essential data science skills is crucial for success. However, with a multitude of options, finding the starting point can be overwhelming.

In this article, we will cover the following topics:



  • Which Data Science Skills are Highly Sought After by Employers in India?
  1. Programming
  2. Machine Learning
  3. Big Data
  4. Cloud Computing
  5. Deep Learning
  6. Mathematics
  7. Statistics
  8. Data Collection and Cleaning
  9. Data Visualization
  10. Data Wrangling
  • Can Mastering Specific Data Science Skills Lead to a Six-Figure Salary in India?
  • How Competitive is the Data Science Job Market in India?
  • How Do Emeritus Online Courses Help Professionals Acquire and Improve Their Data Science Skills?

Which Data Science Skills are Highly Sought After by Employers in India?

Data science merges various disciplines, allowing us to extract valuable insights and make informed decisions. Furthermore, professionals in this field proficiently analyze data, leveraging their expertise in statistics and computer science. So, let’s delve into India’s top 10 sought-after data science skills:

1. Programming Skills

Proficiency in programming languages, such as R and Python programming, are prerequisites for data science professionals. Additionally, knowledge of other languages, including Java, C/C++, SQL, and Scala, can also be advantageous.

2. Machine Learning

Machine learning is one of the most highly sought-after data science skills. To be an excellent data scientist, you require expertise in various machine learning algorithms, techniques, and frameworks, such as

  • Bayesian methods
  • Decision trees
  • K-Nearest Neighbors (KNN)
  • Random forests
  • Support Vector Machine (SVM)
  • Bagged and boosted tree approaches

3. Big Data

Proficiency in handling and analyzing large datasets are some of the top in-demand skills in data science. The ability to handle tools such as Hadoop, Spark, distributed computing, SQL, Hive, and Apache Pig is pivotal.

4. Cloud Computing

Knowledge of cloud computing tools to analyze and visualize data in the cloud is crucial for a data scientist to bag six-figure salaries. Additionally, some key cloud computing platforms for data science are Google Cloud, Amazon Web Service, and Microsoft Azure.

5. Deep Learning

A deep knowledge of deep learning frameworks like PyTorch, TensorFlow, and Keras puts you ahead of your peers. Additionally, understand artificial neural networks, recurrent neural networks, convolutional neural networks, and binary classification for better output.

6. Mathematics

A solid foundation in mathematics is also one of the top in-demand skills expected of a data scientist. It includes an understanding of the following mathematical principles.

  • Linear algebra
  • Matrix operations
  • Regression
  • Analytic geometry
  • Optimization
  • Classification
  • Density estimation.

7. Statistics

Strong statistical knowledge of descriptive and inferential statistics is crucial for understanding data and making informed decisions in statistical modeling. Also, data science requires a strong understanding of concepts such as

  •    Mean, median, and mode
  •    P-value
  •    Bayes’ Theorem
  •    Standard deviation and variance

8. Data Collection and Cleaning

Collecting data from various sources with different formats and structures and the ability to use the following tools will keep you in good stead.

  • Microsoft Excel
  • OpenRefine
  • Python
  • Ruby
  • Trifacta
  • SQL

9. Data Visualization

Effectively communicating and presenting data insights is also one of the most highly sought-after data science skills. Furthermore, some key data visualization tools include

  • Excel VBA
  • Tableau
  • Qlik Sense
  • Power BI

10. Data Wrangling

Data cleaning, transformation, and preparation skills using Python programming libraries are useful in making data suitable for data analysis.

ALSO READ: What is Data Scientist? Salary, Skills & Career 

Can Mastering Specific Data Science Skills Lead to a Six-Figure Salary in India?

The data science job market is one of the most lucrative in India. To be specific, the jobs in this field are highly sought after and offer excellent earning potential, often reaching the coveted six-figure salary range. Additionally, industries such as technology, healthcare, and finance are known to provide great salaries to data science professionals. Furthermore, the increasing importance of data-driven decision-making in today’s business landscape drives this demand for data science professionals in India. This makes data science an excellent career choice. Hence, mastering data science skills is crucial to excel in data science. In short, here’s a look at high-paying opportunities in data science-related roles in India, according to Glassdoor:

Job Role Average Annual Salary
Data Scientist ₹13,05,000
Data Engineer ₹11,00,000
Machine Learning Engineer ₹11,00,000 
Business Analyst ₹9,00,000
Data Analyst ₹6,78,000

ALSO READ: 10 Top In-Demand Jobs in India to Future-Proof Your Career in 2024

Best data science courses onlineHow Competitive is the Data Science Job Market in India?

The job market for data science in India is highly competitive and experiencing rapid growth. According to recent reports, India will likely capture 32% of the global big data market and generate $20 billion by 2026. Furthermore, the demand for data science professionals is rising due to the increasing reliance on big data analysis for decision-making in various industries. Additionally, reports suggest that India is also the second-highest country in the world in recruiting for data science-related roles.  More than 11 million job openings in the field of data science are expected in the coming years.

Moreover, in addition to these India statistics, the data science job market in India is not limited to specific industries.  Technology, finance, healthcare, and e-commerce industries have been prominent recruiters for data science roles.  Other industries, such as manufacturing, retail, and even government organizations, are increasingly recognizing the value of data-driven insights.  The rampant recruiting has contributed to the competitiveness of the job market. The situation offers data science professionals a wide range of opportunities in various domains.

ALSO READ: How an Advanced Certificate Program in Data Science Will Help You Break Into the Industry

How Do Emeritus Online Courses Help Professionals Acquire and Improve Their Data Science Skills?

In conclusion, the field of data science in India offers a promising landscape of opportunities and growth. Furthermore, data science professionals serve as the bridge between raw data and actionable knowledge. This makes data science an integral part of modern business operations and problem-solving across various domains. In essence, mastering data science skills is essential to excel in this dynamic sector.

As India continues to play a pivotal role in the global data science arena, professionals equipped with these skills can expect a rewarding career path with diverse prospects across industries. Furthermore, it is important to remember that data science is continuously evolving. Therefore, it is crucial to keep learning and upskilling to unlock success in this high-demand field. So, if you are interested in career advancement and pursuing a career in a data-driven field, consider exploring the data science courses offered by Emeritus.

Write to us at content@emeritus.org

About the Author

Writer, Emeritus Blog
Krati is a Senior Content Executive contributing to the Emeritus Blog. She brings a diverse range of skills and expertise to the table and over 7 years of experience in digital media, enabling her to create high-quality, engaging content for the digital space. Having studied both journalism and engineering, she is the team’s go-to writer for stories about technology. When she is not busy crafting great content, Krati is usually engrossed in a good book, blogging about K-dramas, or fangirling over BTS like there's no tomorrow!
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