Today, we live in the digital era, and our world is engulfed with data. The information is embedded in code and bits, which requires a structured data management system to manage a vast amount of data. The rapid technological advancement has led to massive buzz around terms such as Artificial Intelligence, Big Data, Business Analytics, Data Analytics, Hadoop, etc. There has been a subsequent demand for talented analytics and insights professionals to handle the vast amount of data. There is a dearth of data science specialists, especially the need for data analytics professionals.
In such a scenario, a Data Analytics Professional certification can allow prospective individuals to pursue a career in data analytics. A professional certification course in data analytics offers the students a comprehensive knowledge of the data analytics field along with helping them build skills latest to the industry trends. The certification courses are usually short-term that last between three to four weeks. These programmes allow students to study various topics within data analytics while gaining confidence in specific subjects. Some of the important topics covered under a data analytics professional certification course are:
- Introduction to data analytics
- Visualising the data using dashboards
- Predictions using data
- Making predictions using linear and logistics regression model
- Segmentation using cluster analysis
Throughout the course, the focus remains on training and nurturing the students using the best resources to qualify students as trained and skilled data analysts. This course can help you understand the dynamic field of data science while gaining insight into the skills and knowledge required to become a data analytics professional.
Prospective individuals aspiring to become data analysts must build their technical skills as employers often look for specific technical skills. Irrespective of the course you undergo, these skills are likely to help you get hired.
- R or Python programming
- SQL(Structured Query Language)
- Data Cleaning and Preparation
- Data Visualisation
Data analysts increasingly use Tableau, Github, Amazon Web Services, Jupyter, Google Analytics, etc. Hence, industry professionals highly recommend aspiring data analysts learn one or more such tools. Apart from gaining strong technical skills, an aspiring data analyst must have exceptional communication skills that can facilitate presenting the data or finding to a group with less technical knowledge. A great problem-solving ability can enable the professional to solve problems using insightful data.
As an aspiring data analytics professional, you must know why you require such broad knowledge and skills. Since a data analyst manipulates and studies data and communicates their findings to enlighten the organisation with opportunities and space for improvement, it certainly becomes a lengthy procedure.
The multi-layered process that a data analytics professional follows requires a set of skills. It starts with wrangling the troves of data obtained from social media platforms, companies’ websites, consumer applications, etc., cleaning the data to analysing it using various algorithms and statistical methods, and finally visualising the data. The processes are called data mining, data cleaning, and data visualisation.
A well-designed professional course in data analytics can be your gateway toward building a fulfilling career in data analytics. So, log on to our website and learn more about the course!