The most important skills for data scientist
Tags: data, datascience, dataskills, programming
Published: 2023-08-24 14:41:53

Data scientist is plays very important role nowadays. This career combines math and statistics, specialized programming, advanced analytics, and machine learning, all of these  helps data scientists to ask and answer questions like what happened, why it happened, what will happen, what can be done with the results, and what what affects the result.

 I want to talk about important skills in data science. Of course the most important skills are technical, so, what are they ? 

1. **Programing** 
Programming languages such as Sql, Python, Javascript are very important in data science, it helps to explore, sort, and analyze large dataset easily. Coding is important it creates analytical models and algorithms that allow you to solve complex problems.

2. **Statistics and probability**
Those two aspects also important it helps in machine learning models a lot. You have to be able to organize, interpret, and present your data, and for presenting it you have to understand the concept of mean,mode, median, standard deviation and statistics overall. One of the very important techniques in statistics is  Probability distributions, function that describes the probability of different possible values of a variable. 
Data scientists that uses statistical and probabilistic knowledge may forecast trends and identify anomalies in data sets, create a relationship between two points in the data, and interpolate missing data points.

3.**Machine learning and deep learning**
Big and very important subject in data science. You want to spend a lot of time learning it.Using machine learning methods can help you become a better data scientist since you'll be able to collect and combine data more effectively while also forecasting the results of upcoming data sets. Using  linear regression you can predict how much would be the cost of the house based on the information from the past. Later, you can expand your understanding to incorporate more complex models like Random Forest.
In machine learning there are algorithms you should learn:
-Logistic regression
-Linear regression
-Decision tree
-Random forest algorithm
-K means algorithm
-K-nearest neighbor

4.**Data visualization**
As a data scientist you must have very strong visualization skills, being able to create charts and graphs is important it helps you present your work to stakeholders. Without visualization even if you did a perfect job but if the clients and stakeholder don't understand it, it’s useless. So, the data must be presented in easy-to-use formats that the average layperson can understand which is visualization.

5. **Interpersonal skills**
Communication skills very, very important you’ll want to develop this skill to build strong relationship with your team, members, and clients to be able to present your work to stakeholders. Interpersonal skills include :
- Listening
- Communication
- Leadership
- Attention to details
- Public speaking 
- Sharing feedback 
- Be able to convey your opinion 

It can be difficult way to become a data scientist because it takes a variety of technical abilities, subject-matter expertise, and real-world experience.But nothing is easy.If you want to achieve something and you put all your effort into it, you will definitely succeed. Numerous fields, including mathematics, statistics, programming, and machine learning, are included in this career. However, it is possible to develop the essential abilities and be successful as a data scientist with commitment, ongoing learning, and practical experience.