Data Science: Top 8 Most Demanding Skills to Get You Hired

Do you want to know about Data Science Skills, which help you to get hired? If yes, then give your few minutes to this blog to understand what Data Science Skills you need to have.

Hello, & Welcome!

In this blog, I am gonna tell you-

1. Why Data Science?
2. Top 8 Most Demanding Data Science Skills.

Let’s get started…

Why Data Science?

Data Science is a broad term that contains data analytics, data mining, machine learning, Artificial Intelligence, and deep learning.

Nowadays, many companies are adopting data science, especially for marketing purposes. With the help of the data science field, they find different patterns that help them to increase their sales.

Data science helps in extracting useful information from a huge amount of data generated by their customers.

For example, supermarket generates a huge amount of data daily, but this data is useless. By using Data Science, several interesting and useful information can be extracted from this huge and useless data.

Different shopping patterns can be found, which helps them to increase the sale of products. For example, after performing an analysis, on supermarket data, some interesting facts have been found that people who come for buying milk always purchase bread. So this pattern help the supermarket manager to organize items accordingly. Which means put milk and bread together. This will increase the sale of bread.

So, most of the companies adopts data science, but demand is high and supply is low in that field. That’s why there is a high demand for data scientists, data analytics. So if you are the one who wanna come in that field, first of all, I wanna say congrats to you 😀 because you choose the right field.

There are lots of career opportunities in the data science field. I have searched for you the top 10 data science companies-

1. Numerator
2. Cloudera
3. Splunk
4. SPINS
5. Alteryx
6. Civis Analytics
7. Sisense
8. Oracle
9. Looker
10. Teradata

I have taken this list from built in.

Now, without wasting your time, I am gonna tell you Top 8 Most Demanding Data Science Skills.

Top 8 Most Demanding Data Science Skills.

If you have these following 8 skills in Data Science, then there will be no barrier for you to master in Data Science and get hired.

1. Programming Skills
2. Statistics or Probability
3. Machine Learning
4. Multivariate Calculus and Linear Algebra
5. Data wrangling.
6. Data Visualization.
7. Database Management
8. BigData

1. Programming Skills–

To get into the data science field, the first skill you need to have is programming skills. You should know at least one of the programming languages either Python or R. Python and R are mostly used for Data Science, so learn one of them.

I will recommend you choose Python because it is easy to learn and it is a great programming language for data scientists. Python is a versatile language, so you can use it for all kinds of work in Data Science.

Without having programming knowledge, data science is a bit difficult. So, first, you need to revise your Python or if you are a beginner then first learn Python.

These are the some Books, you should consider for learning Programming Language-

• Python Data Science Handbook
• R for Data Science
• Python for Data Analysis

I hope this tutorial will help you. 😊

2. Statistics and Probability-

A good level of knowledge in Statistics and probability is essential in Data Science. Data science is all about extracting knowledge, making a prediction, algorithms, insights, etc. So for performing these operations, you must have knowledge of statistics.

If you have knowledge of Statistics, you can predict future trends and you can find patterns behind the data.

So, statistics knowledge is important.

These are the some Books, you should consider for learning Statistics and Probability-

• An Introduction to Statistical Learning
• Practical Statistics for Data Scientists
• Introduction to Probability.
• Probability and Statistics for Data Science

3. Machine Learning

Machine Learning allows machines to learn and make a decision. ML makes machines intelligent, so that machine can take intelligent actions. So you must have knowledge of machine learning algorithms like k- nearest neighbor algorithm, Random Forest, Naive Bayes, and Regression.

In Data Science, by using machine learning you can perform fraud and risk detection, Spam filtering, Face and Voice Recognition. You can use data science with the help of machine learning in the important and emerging data science field that is Healthcare.

These are some Machine Learning books, you can consider for Data Science-

•  Introduction to Machine Learning with Python
•  Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow

4. Multivariate Calculus and Linear Algebra

Knowledge of multivariate calculus is important because it helps you to build a machine learning model. Your interviewer may ask some questions related to the multivariate calculus. So you should have at least basic knowledge of multivariate calculus.

These are some topics, which you should be familiar with in order to work in data science- Cost Function, Gradients, and derivatives, Sigmoid function, Step function, Plotting of functions, scalar-valued function, vector function, etc.

These are some Linear Algebra Books-

• Linear Algebra Done Right

5. Data wrangling-

Data wrangling is the process to clean the data and make it ready for analysis. In data science, you deal with a huge amount of data, this data is messy and noisy. So you should have knowledge of how to clean messy and noisy data.

The data which you collect is not ready for analysis, because it contains noise and this data is not in a proper format. So as a data scientist you should have knowledge of how to clean the data and make it ready for analysis.

Data wrangling is a must-have skill in data science, and do you know one thing? This is the easiest and interesting part of Data Science 🙂

6. Data Visualization-

Data visualization means to represent the data or findings in a graphical manner. As a data scientist, you must know data visualization if you want to communicate with end-users.

Data Visualization help you to showcase your findings in a more precise way, so that end users can easily understand. It also helps to compare different predictions in an easy way.

You can use a different type of visualization for your work like- Histogram, Pie chart, Bar chart, Scatter Plot, Time Series, Heat maps, and many more.

There are different tools available for visualization work like- Tableau, Power BI, matplotlib, ggplot, etc.

For Data Visualization, this is the best book, you should consider-

• Storytelling with Data

7. Database Management-

You should have skills in Database management because, in data science, everything is close to the data. That’s why you should have knowledge of database management.

In data science, You have to work on a huge amount of data, so you should know how to deal with data. You should knowledge of SQL.

8. BigData

Nowadays a huge amount of data is generated daily, so this huge amount of data is useful in the data science field. This BigData is used to train a machine learning or deep learning model and then predict the outcome.

This huge amount of data may be structured or unstructured, which can’t be processed by the traditional database. That’s why there are frameworks present to handle or process huge amounts of data. This framework is Hadoop.

In Data Science, you must have knowledge of how to deal with huge amounts of data and for that, you can learn the basics of Hadoop.

Congratulations! Now you are ready to come in Data Science Field.

I hope, now you have a clear idea of What skills you need to master in order to come to Data Science.

Enjoy Learning!

All the Best!

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Thank YOU!

Though of the Day…

‘ It’s what you learn after you know it all that counts.’

– John Wooden