Magnitia’s Data Analytics Training in Hyderabad equips you with essential skills in Data Science & Analytics. Master tools like Excel, SQL, Python, and Tableau while applying statistical techniques, data integration, and predictive modeling. Gain hands-on experience with real-time projects and expert guidance. Stay ahead with the latest concepts and become a successful Data Analyst.
Aspirants who really passionate about a career in Data Analytics, then Magnitia IT is the best choice to learn Data Analytics Course. Join us and become an expert Data Analyst today.
Aspirants who are interested can attend our Data Analytics training in Hyderabad, or you can take our Data Analytics online training.
Data analytics training teaches skills to analyze data, gain insights, and make data-driven decisions.
Learn data analytics and advance your career with insights from expert faculty at Magnitia IT.
Yes, Data analytics careers are in high-demand &presently there is a shortage of 97,000 Data Analyst in India.
The Average Salary of Data Analyst in India is ₹6,70,000 per year (Source: glassdoor.co.in)
Most entry-level data analyst jobs require at least a bachelor level degree. A degree in mathematics, statistics, or economics can be an advantage but not mandatory.
Yes, a Data Analyst can become a Data Scientist with hands-on in machine learning, skilled with advanced programming.
Yes, we offer both classroom & online training.
We just don't teach in the class, we make the participants to practice during the class hours and make them experts.
`Trainers @ Magnitia IT have nearly 20 years of Experience in Software Industry and have Trained thousands of Trainees.
We provide any time support for the participants during their course.
Magnitia IT gives Real-time hands on training with live project work.
Fresh Graduates with a bachelor's degree and passion for Data Science.
Non-technical or non-programmers may feel little confused to move into Data Science career. But we take care of your non-programmer’s journey to Data Scientist.
Working Analysts & Software Engineers who are looking to transition into Data Science.