The world revolves around Data! Companies need customer data to check if their products or services meet customer expectations. Pharma companies need data to find out if their new product has been successful or not. Educational institutes need data to evaluate the reach of their new training program. These are just a few examples of how data is being used across the sectors. In fact, we can say that data is the key enabler that organisations use to evaluate their performance and identify ways of improvement and expansion.

Data science is more about data and numbers. It is an umbrella technology that contains various other technologies such as artificial intelligence, machine learning, deep learning, neural networks, business analytics, and lots more. As technologies emerge, data science trends evolve. The top 5 data science trends of 2020 are:

1. Access to Artificial Intelligence and intelligent apps

Small and large companies have already started using AI-based applications. In 2020, we will see a rise in intelligent applications designed using ML, DL, and AI technologies. Automated machine learning will be used along with data science to enable efficient data management.

2. Rapid growth in the IoT

According to a survey conducted by IDC, the investment in IoT apps and solutions will be nearly $1 trillion by 2020. Until now, IoT was used in home automation, self-driving cars and automating manufacturing processes. However, this year, we can see more research and development in the applications of IoT in agriculture, city management, retail industry, and other sectors.

3. Evolution of Big data analytics

Businesses have found the huge benefits of Big Data analytics. This year will see more companies use data analytics to improve their profit margins. Predictive analysis will also become more popular. Businesses don’t just want to use data to understand what has happened, but also predict what could happen in the future.

4. Edge Computing will be on the rise

Edge computing is a process that analyses data in real time. The data is stored near the source itself so that it can be analysed just as it is being produced. The increasing applications of IoT have risen the demand for real-time data analysis. In IoT, sensors and devices collect data, which is immediately transferred to Cloud storage. Using edge computing, the data is immediately analysed and actions are taken. This synchronised structure speeds up the decision-making process and at the same time ensures it is accurate. It also allows applications to react immediately, which is one of the essential characteristics of an Internet of Things system.

5. Demand for Data Science Security Professionals

With huge volumes of data being used across various systems and applications, data vulnerability increases. Though there are numerous applications of data science, many are still sceptic of using it because of the security challenges. So, there will be a huge demand for data science security professionals this year. These professionals should be experts in the latest data science technologies and have in-depth knowledge of Python concepts. So, they can deal with data issues with confidence.

Benefits of Learning Data Science

Data is a vital component of any organisation. Data science is one of the fast-growing technologies that is finding applications across all horizontals and verticals. Organisations rely on data to make informed decisions. For example, customer data is used to evaluate the performance of an organisation and at the same time used to identify ways in which a product or service can be improved. Data captured from social media help organisations gauge people’s opinions about their company, services, or products. Data science applications are used not just in product-oriented organisations, but also in service-oriented organisations. So, you can see that the scope of job opportunities is enormous. Even if you are from a pure science background or medical background, you can learn data science and find better career opportunities in your field itself. Data science is the present and the future. So, you will have many opportunities for career growth once you complete data science certificate course.

Advanced Data Science Courses

The in-demand skills for a data scientist are knowledge of programming languages such as R, Python, and Java. Data scientists should also know about applied mathematics and statistics. They should have in-depth knowledge of databases, machine learning, deep learning, and working knowledge of the data science tools. Advanced data science courses should equip you with these skills and capabilities. The curriculum of the advanced data science course offered at LearNow includes

  • Introduction to machine learning
  • Linear regression
  • Data visualisation using python
  • Decision Trees
  • Logistics Regression
  • Clustering
  • Text Mining
  • NLP
  • Artificial Neural Networks
  • Convolutional Neural Networks
  • Recurrent and Recursive Networks

The advanced course will be suitable for a working professional who wants to upskill themselves and enhance their career prospects in this domain.

Career Opportunities in Advanced Data Science

Once you have earned a certification in advanced data science, you can apply for various job profiles such as

  • Data architect
  • Data scientist
  • Data statistician
  • Data analyst
  • Data engineer
  • Data administrator
  • Business intelligence manager
  • Data analytics manager

Join Advanced Data Science courses at LearNow

LearNow offers Data Science Certification Course for graduates and working professionals. This professional course is designed and delivered by experts who come with nearly a decade of industry experience. Aspirants can join the Executive program in Data Science or Advanced Data Science course based on their preference and eligibility criteria. The curriculum includes 4 to 6 industrial projects, which will give students a working knowledge of the concepts they learn in the training. LearNow offers online training sessions that are interactive with use cases, discussions, quizzes, and more. Students can join the live training sessions from anywhere in the world. In case, you miss a session, you can watch the recorded session or opt to join a live session being conducted for another batch.

Upskill yourself in the advanced concepts of Data Science by joining our online training program. Contact us for more details.