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.
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
- Text Mining
- 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.