How to Become a Data Scientist?

Transforming into Data Scientist is a comparatively new career curve which merges business logic, statistics, and programming knowledge. Private and Government organizations are interested to gain insight from the data collection process by offering an exponential data which is getting churned out via our desktops, Smartphones, IoT devices, and other related application throughout the world.

 

A Data Scientist is capable of performing data analysis. They can do it by using the realm of deploying and building predictive models that often incorporate deep learning and machine learning protocols. Data Scientist also needs to have an understanding of the models that are fit for the analyzed data. All models need fine tuning as they are approximations of the present and future environments. This, in turn, relies on the mathematical expertise of the data scientists.

 

Data Scientist should also have some knowledge of databases, how are they getting constructed, how to pull the data from an Enterprise Database Management System and related things. Research Organizations, Governmental Agencies, and leading companies are hiring a massive number of qualified Data Scientists due to their extensive knowledge requirements like professional experience/training, academic training/experience and more.

How to become a data scientist?

The following guide deals with the list of steps needed to become data scientists and fewer opportunities available in this emerging Data Science field.

 

Pursue a degree, or grab a certificate in Data Science and other Related fields:

There are three educations options available if you are ready to start your career as a data scientist. Data scientist qualifications include:

 

• Graduate and Degree certificate offers internships, networking, structure and recognized academic qualifications for your profile. It also costs you significant money and time.
• Boot camps are faster and intense to complete when compared to the traditional degrees. You will not get any degree certificates with this type of method.
• Self-Guided courses can be learned from your home, which is cheap/free, targeted and short. You can complete projects on your own and at your leisure time, but you need to structure your own academic path.

 

Research by “The Burtch Works Study Education” in May 2017, states 90% of the Data Scientists reported that they advise to get an advanced degree and among them, 41% of the data scientist holds a Ph.D. whereas 49% of them hold a master’s degree.

 

Skills needed to become a Data Scientist:

Both business skills and technical skills are necessary for a Data Scientist. Listed below are some of the Business and Technical skills that should be earned to become a data scientist.

 

Business Skills needed to become a Data Scientist:

 

• Effective Communication: You need to make sure both technical and non-technical audiences understand your discovered techniques.
• Industry Knowledge: You should have an intense knowledge about the industry you have chosen, how data is used, analyzed, collected and developed effectively.
• Analytic Problem Solving: Employing the right methods or approaches needed to make use of the human and time resources effectively, approaching top-level obstructions and challenges and knowing which is significant.

 

Technical Skills for emerging as a Data Scientist:

 

• Statistics like summary statistics and hypothesis testing.
• Software Engineer skills like algorithms, data structures, and distributed computing.
• Data wrangling and cleaning.
• Unstructured Data Techniques.
• Database querying languages and SQL Databases.
• Big Data Platforms like Hive, Pig, and Hadoop.
• Mathematics topics like calculus, probability, and linear algebra.
• Machine learning techniques and tools like random forests, k-nearest neighbors and ensemble methods.
• Data Mining.
• Data reporting and visualization techniques like ggplot and d3.js
• SAS languages and/or R languages.
• C/C++, Python, Perl, and Java.
• Cloud tools like Amazon S3.

 

Post-graduate learning and additional data scientist certifications:

It’s important to choose the top level data scientist certifications, many of them waste their time by selecting a poor quality certification and end up with many job issues. You can ask your mentors or else consult best online sites for choosing the right Data Scientist course for you. Some of the best Data Scientist certifications with excellent skills that everyone can pursue includes:

 

• Certified Analytics Professional (CAP)
• SAS Certified Predictive Modeler using SAS Enterprise Miner 14
• EMC Proven Professional Data Scientist (EMCDS)

What does a Data Scientist do?

There are data scientist cycles that follow specific rules and includes data collections, data preparation, interpreting and evaluating EDA results, Exploratory data analysis, Model building & testing, Model deployment & optimization. The data science course tasks and projects will differ based on the business and organizations. Some of the job functions of the Data Scientist includes

 

• Gathering an extensive amount of data and reorganizing to an analysis-friendly concept.
• Make use of different programs and programming languages for data analysis and collection.
• Offering advice and communicating findings through comprehensive reports and effective data visualizations.
• Anticipate future demands, predictive analytics, events and more.
• Incorporating new algorithms to define the problems and develop analytical tools.
• Making use of data-driven tools and techniques for solving business challenges and problems.
• Having a good knowledge of all type of analytical tools and techniques.
• Identifying trends and patterns in data, offering various plans to improve the business.
• Contribute to the modeling standards, data mining architectures, data analysis, and reporting methodologies.
• Recommend profitable changes to existing strategies and procedures.

Data Scientist Job Salary:

The current annual salary a Data Scientist receive is around $120,000. This figure may vary depending on enterprise size, sector, and other factors like educational level, data scientist qualifications, location, years of experience, data scientist involvement in the organization and more.

 

Data Scientist Job Outlook:

Organizations are exploring qualified Data Scientist to help them process and understand their business data. There is a huge shortage of Qualified Data Scientists at present in the world. There are a lot of new educational programs in big data, data analysis and, data science certification. Companies of every industry and size from Linkedin, Facebook, Amazon, and Google to the simple retail stores are looking for Data Scientists to help their business.

 

Hope the above tips help you become a successful Data Scientist in your career!