Certification Program in Data Analytics

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Though not mandatory, it is beneficial to have basic coding skills when learning or working as a Data Analytics professional.

Yes. The course offers real time coding problems and assessments that will help the learners get an hands-on-experience of the course contents and help them master the various concepts of Data Analytics

The tasks of Data Analytics involve providing operational insights into complex business situations. This also predicts the upcoming opportunities which the organization can exploit. Data Science is a field that contains various tools and algorithms for gaining useful insights from raw data. It involves various methods for data modeling and other data-related tasks such as data cleansing, preprocessing, analysis, etc. Big Data implies the large amount of data which can be structured, unstructured and semi-structured generated through various channels and organizations

Yes, you can sign-up for the Data Analytics course even if you do not come from a technical background. However, having basic knowledge of programming languages and mathematics would be beneficial.

Yes. This Data Analytics course will teach you the fundamentals of programming languages, statistics, and industry standard techniques from scratch to build up your foundational knowledge and enhance your analytics career journey.

You must have a minimum of 70% attendance in the online classes to be able to utilize the services offered under the Interview Guarantee and Job Guarantee programs.

Data is ruling businesses around the world. The more data-driven you’re, the more beneficial it is for your organization. By taking insights from data, you can make meaningful decisions, plan strategies, and help your business achieve its goal faster. Enrolling in this extensive Data Analytics course is definitely going to be an advantage.

R, SAS, Python, Apache Hadoop are the predominant languages and frameworks used by Data Scientists and Data Analysts. Tableau and Excel are the most popular and effective analytics tools. All these technologies are covered in this course.

You will be required to submit your PAN card, AADHAR details, Marksheets of 10th, 12th and Graduation, Supporting educational certificates and any other requirements as mandated by the recruiters.

Data Analytics is a discipline focused on extracting insights from data, including the analysis, collection, organization, and storage of data, as well as the tools and techniques used to do so. The chief aim of data analytics is to apply statistical analysis and technologies on data to find trends and solve problems. Data analytics has become increasingly important in the enterprise as a means for analyzing and shaping business processes and improving decision-making and business results.

Data Analysis is the process of cleaning, transforming, and modeling data to find meaningful insights and make better decisions. In contrast, Data Analytics is a broad term that involves many diverse types of data analysis.

A Bachelor’s degree, preferably in Mathematics, Statistics, Computer Science, or related fields is with a minimum of 50% (or higher) if required for anyone to enroll in this course. Being familiar with Statistics, core Math concepts, programming basics (Python, R, or Java), and Linux fundamentals would be an added advantage.

The following topics will be covered in this course : - Core Python & Advanced Python - Advanced Excel - R Programming - SAS - Tableau - Statistics

Excel is used in data analysis because it’s easy to learn and use. Its functions like vlookup, xlookup, pivot table, analysis tool pack make it the most widely used tool by any analyst position like data analyst, business analyst, business intelligence analyst.

R in data analytics is used to handle, store and analyze data As a programming language, R provides objects, operators, and functions that allow users to explore, model, and visualize data. It can be used for data analysis and statistical modeling.

Organizations view Data Analysis as one of the most crucial job specialties due to the value that can be derived from data. Data is more abundant and accessible than ever in today’s business environment. In fact, 2.5 quintillion bytes of data are created each day. With an ever-increasing skill gap in Data Analytics, the value of Data Analysts is continuing to grow, creating new jobs, and career advancement opportunities. By 2022, the World Economic Forum predicts that Data Analysts will be one of the top emerging jobs.

Tableau is a powerful and versatile data analytics and visualization tool. Its drag-and-drop interface makes it easy to sort, compare, and analyze data from multiple sources, including Excel, SQL Server, and cloud-based data repositories.