Data science is currently among the fields that are growing at a very high rate in the modern day world. The field is basically a combination of statistics, Computer science and also some knowledge in the domain you are specializing in. In this article we delve in some ways to succeed as a data scientist.

Education

To succeed in this area one has to have enhance your education in some areas such as computer science, Mathematics and more so statistics. These two are the fundamental incase one is building a career in Data science.

Skills

Some of the skills needed in this field include.

1. Programming- Some knowledge in programming is needed for data manipulation, doing analysis, and also Modelling. Some of the languages mostly used in data science include R and Python

2. Statistics- Knowledge in mathematics and statistics come in handy for any data scientists. Understanding of certain mathematical concepts helps one perfect in this field.Some of the concepts include probability, time series, linear algebra among others.

3. Machine learning- This assists in building of models that could be used in predicting. Some of the frameworks used for this include scikit-learn, tensor flow and pytorch.

4. Data Visualization- Visualizing data assists one to communicate easily what the data shows. This could include graphs that show trends, distributions among others. Some tools that could assist in visualizations are Power BI, SQL and python libraries such as pandas, seaborn and matplotlib.

5. Big Data - One should also be aware of how to handle large or big data sets. Several tools such as hadoop and spark could assist in this.

Job Searching

As any other job, job searching could be an uphill task to any candidate. Quick tips that would assist a data scientist in getting a job or accelerating their career include;

1. Networking - This invloves linking up with other like minded persons. This could be either in social media, joining data science workshops and communities and also participating in online forums.

2. Learning and knowledge acquiring- Data science is an evolving field and hence requires one to continously expand their knowledge. This could include online classes, learning from other people and also participating in projects.

3. Building a good portfolio - Taking up projects and working on them has proven to be the best way of learning things. It also assists in demonstrating your ability to solve real world problems. Also Showcasing these projects to people could help in job searching.

4. Improving you curriculum vitae/resume - Go through an application, understanding what are the requirements and customize your application well to ensure you meet the set requirements.

By combining all the above factors, one is in a position to create a successful career in data science.