Data science is critical for all disruptive technologies like Artificial Intelligence (AI), blockchain, machine learning, and robotics. With data, technology can get imbibed faster.
Data is one of the critical decisive factors for business success. With data, a business can thrive and survive in a competitive market.
It’s data everywhere.
As a result, the job opportunities concerning data science is soaring high. The US Bureau of Labor Statistics reports that the necessity of data for success will create 11.5 million jobs by 2026. But we find a noticeable shortage of qualified data science professionals.
As companies and industries struggle to make sense of their large data, skilled data science professionals are encouragedand hired for small and large businesses alike. If you look at any job boards online, you can see the demand for the job is increasing and they are paid withhigher compensation.
A few of the top companies hiring data science professionals include Facebook, Twitter, Airbnb, IBM, PayPal, LinkedIn, JP Morgan, Citi Group, and others. All these companies look for certain essential skills as enlisted here.
Let’s discuss the data science career opportunities, required skills, and how to gain a career in data science here.
Essential skills for a data science career
Data science career opportunities are expected to continue as more organizations depend on data. Professionals seeking a career in data science must have certain skills to gain traction.As you all know, data science career thrives with subjective knowledge, industrial and creative skills.
Some of the data science career profiles are data scientists, data architect, data administrator, data analyst, business analyst, data manager, and business intelligence manager.
A few of the in-demand skills that will fetch a career in data science are as mentioned below.
Programming languages:
- R
- Python
- Java
Core subject knowledge:
- Statistics
- Applied Mathematics, and
- Computers
Working knowledge:
- Hadoop
- Spark
Database skills:
- SQL
- NoSQL
Artificial Intelligence skills:
- Machine Learning
- Neural Networks
Deep learning frameworks:
- TensorFlow
- Keras
- PyTorch
Other Skills:
- Industrial Knowledge
- Critical thinking
- Analytical ability
- Communication skills
Moving forward, let us understand how to gain a career in data science.
Gaining a career in Data science
To gain a competitive advantage and allure your prospective employers, earning a data science certification helps you a lot. In addition to certifications, it is recommended to complete a few independent projects showcasing skills to existing or future employers.
A vendor-neutral certification helps you to gain a job in any field or domain as it serves various industrial purposes. It distinguishes you from the rest of your peers and enables you to stay distinct in the competitive market place.
To mention a few popular certifications, they are SAS Certified Data Scientist, Senior Data Scientist – Data Science Council of America (DASCA), and Dell Technologies Data Scientist Advanced Analytics Specialist (DCS-DS).
Being a SAS Certified Data Scientist, you will be able to demonstrate your programming skills, management and data improvement, data transformation, and working knowledge of data visualization tools.
With DASCA -senior data scientist certification, you will get well-versed in big data concepts, programming, big data tools, big data solution engineering, social media, mobile analytics, visualization, and machine learning. You become proficient in handling data storage, processing, management, and security infrastructure.
Being a Dell Technologies Data Scientist Advanced Analytics Specialist (DCS-DS), you can advance your analytical methods, analyze social networks, use natural language processing, data visualization methods, and various data tools including Hadoop, Pig, and HBase.
Conclusion
Data science certifications are designed for professionals having coding skills, business knowledge, and other essential skills as mentioned in the article. These certifications help you get acquainted with the latest tools and techniques to manage data, gain expertise in the specific data science aspect, and advance your career.