Data Analyst Course in Rohtak

The tools that you will learn in this course include Python, SQL, Power BI, Advanced Excel, and Generative AI. You will acquire hands-on abilities in the data manipulation area, querying databases, and building informative visualizations. The training incorporates real industry projects that simulate a situation in the finance, healthcare, e-commerce and manufacturing industry preparing you to make decisions in the business that are driven by data in an efficient manner.

The course at Gyansetu prepares you with the necessary analytics skills demanded in the market as Data Analyst, Business Intelligence Analyst or Data Scientist. The course targets employment preparedness that features practical training and projects that align with local and global market requirements including skills in the MIS, finance and HR functions.

The trainers are the industry professionals in the leading multinational companies possessing high experience in analytics tools and real time projects. They introduce advanced expertise and guide you through practical education and problem-solving, so the skills that you acquire will be in line with the requirements of the industry.

Performance-based and professionalized with leading employers, you will be qualified to earn a certification, which confirms your skills in automating reports, creating dashboards, as well as addressing real-world problems in data by using Python, SQL and Power BI and advanced Excel and AI integration. Such certification increases your profile on professional websites such as LinkedIn and increases your chances of securing an interview.

Once you are certified, you will have access to career services permanently such as LinkedIn profile optimization, a mock interview, portfolio building, and job referral services. This constant backup will put you in a better position of getting well-paying jobs in Rohtak and beyond.

Graduates can be hired in positions like Data Analyst, Business Intelligence Analyst, Data Scientist, MIS Analyst, and positions in tech, manufacturing, and e-commerce, which are available in the field of finance and HR analytics.

There are no hard requirements, the course can accommodate both beginners and experts; its task is to develop skills and help at the basic and advanced levels in the tools and techniques of data analytics.

Project-based learning that is part of the curriculum contains the datasets of such industries as finance, healthcare, and e-commerce, enabling students to find answers to actual business problems using predictive models and analytics tools.

The course is structured in the form of step-by-step modules, practical projects, and mentorship assistance, which allows practitioners with varying backgrounds to master the use of analytics tools and concepts to make a successful career change.

Yes, the course can be taken via classroom and online classes, so it is flexible with equal quality training offered irrespective of the means of choice. To price, to choose EMI or to have a current discount please call 9999 201 478.