Data Analysis and Visualisation is one of the in-demand skills in the field of data analytics and big data. Data Analytics involves analysing huge volumes of information, finding insights from that data, identifying patterns and trends and giving an actionable meaning to that data. Data Visualisation involves visually depicting the insights and information obtained from data analytics. Visual imagery is not only attractive but also makes it easy for everyone to understand the complex trends. It is why companies are looking for Data analysis and visualisation experts who are skilled in interpreting data and presenting it in the right manner to all the stakeholders. Learn the latest trends in Data Analysis and Visualisation by enrolling in Manipal ProLearn’s online/blended Data Analytics courses.
What Are The Latest Trends In Data Analysis And Visualisation?
Below are some of the current trends in the field of:
- Rise of master data management with DQM
- Increase in the impact of data discovery
- AI and machine learning to fuel analytics and data management
- Increase in use of predictive and prescriptive analytics tools
- Multi-cloud adoption for growing business needs
- Data access and security top priority to avoid data breaches
- Rise in use of online Business intelligence and collaboration tools
- Data storytelling, especially long-form formats with multiple dashboards
What Are The Data Analysis And Visualisation Courses Offered At Manipal ProLearn?
Learn all about data visualisation tools and methods, statistical concepts of sampling, data mining and lots more in our Data Analysis and Visualization training program. Designed and led by industry experts, our hands-on training program will train you in industry-relevant skills to make you job ready.
If you want to explore more about data analysis, you can enrol in our Exploratory Data Analysis for Data Science using R.
How Manipal ProLearn Can Help In The Pursuit Of Data Analytics Jobs?
Manipal ProLearn courses in Data Analysis and Visualisation can equip you for jobs such as data engineers, data scientists, business analysts and more. Our courses are designed as per the latest trends in data analytics and will help you improve your skills with regard to the use of R and Python, handling categorical and numerical variables, probability, correlation, storytelling with data and more. Based on an experiential model, the curriculum is delivered through live webinars, video tutorials, assessments, interactive sessions and practice exercises. You also get to work on GPU environment, which will help you easily handle real-life situations.
For more information regarding our course structure, curriculum and placement opportunities, email us at email@example.com.