Data Science has been one of the trending technologies for more than a decade now. The science of all data involves analysing millions of data units to find hidden information. The insights gained from the information help the stakeholders make informed decisions. With the increase in the demand for data, the demand for data science tools and applications has also increased. This domain has also spurred the development of other technologies such as artificial intelligence, machine learning, deep learning, IoT, robotics, and neural networks. With such a wide scope across all sectors and industries, there is always a huge demand for skilled Data Science professionals.

Advanced Data Science

Advanced data science course curriculum includes basic data analytics tools and techniques as well as advanced ML and DL tools and technologies. The advanced training program helps you specialise in niche ML concepts that will help you learn to create ML algorithms. In the training program, you will also learn all about neural networks and NLP.

Steps to Gain Data Science Expertise:

One of the chief challenges of data science aspirants is to bridge the gap between knowledge and application. In order to build a successful career in Data Science, aspirants should have the essential skills, portfolio, and certification.

Learn the skills

The mandatory skills required to become a data science professional are:

  • Knowledge of programming languages such as Python and R
  • Knowledge of databases, especially SQL
  • Ability to use Data Science tools and techniques
  • Knowledge of advanced mathematics, statistics, and probability
  • Machine Learning algorithms

If you come from a non-computer science background, then you can do basic training in Python programming before you take up the advanced data science program. Then, you can learn the other technical skills essential for a career in Data Science by enrolling in one of the Data Science certification programs from LearNow. There are different  courses where you will learn all about data science, from the basic to advanced levels. The training will equip you with the working knowledge of Excel, Hadoop, and other data analytics tools. You will also learn about deep learning and machine learning in the training.

There are many ways you will benefit by joining a Data Science course. The first benefit is that you will be trained by expert academicians and industry experts. Also, interactive training sessions will help you understand the core concepts of technology. You will earn an industry-recognised certification, which will enhance your prospects for building a career in this domain.

Build your portfolio

The second step to gaining expertise in data science is to build a portfolio. A certificate can get you inside the door. But a well-done portfolio can help you secure the job. It is because the project work showcases your learning and understanding better than answering a hundred questions at the interview. When you’ve done the project from the start to finish, you will be able to confidently answer all the relevant and related questions. The confidence in your subject knowledge will make you a winner.

Why Get Advanced Data Science Certification?

The first step to build a career in the field of Data Science is to earn an Advanced Data Science Certification from a reputed institute. The certificate will help you stand apart from the hundreds of others who have applied for the position. Also, the training program will equip you with the essential skills and working knowledge of data science tools and technologies. The in-depth training will make you job ready. The best thing about this domain is that anyone with the right skills and abilities can work irrespective of your background. Even if you are from a non-technical background, if you learn the basics of Python or R programming, you can join the Data Science course and start your career

There are numerous career opportunities for professionals in the field of data science. A few of the job profiles are

  • Data scientist
  • Data architect
  • Data analyst
  • Research analyst
  • Business analyst

Data Science tools and applications are now being used in various sectors including education, healthcare, research and development, infrastructure development, and even marketing. So, there is a huge scope for certified professionals in this domain.

Just as the demand for data science professionals is more, the competition is also equally high. A strategic job application will help improve your prospects of finding a good company in this field. First, you need to update your LinkedIn profile and follow the right companies to get updates. Second, make your profile “All-star” by building a contact list of at least 500 members. Follow niche-career boards. If the organisation is good and there are prospects for career development, accept the position. You can move further as you build your professional experience.

Earn an Advanced Data Science Certification from LearNow

The certification at LearNow will you bridge the gap between learning and practical application. To do this, we follow an intensive, regularly updated curriculum that is designed by industry experts. We also use interactive teaching methodologies in our training program. The online training sessions allow aspirants to learn at their own pace. We also organise live webinars with Q&A sessions that allow students to interact with the trainers. On completion of the training program, you will receive an industry recognized certificate, which can improve your career prospects.

Contact us to know more about our Data Science Certificate Programs.

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