Data Analytics Course in Bangalore

• Each of the trainers in our Data Analytics Course at our firm carries an experience of at least 10 years of practice.
• The institution maintains an affordable fee structure to make studies easy for all sectors of students.
• The formulated curriculum exceeds the number of hours of 60, and the characteristics of the material are described.
• Leisurely, FITA Academy has strategically equipped more than 75,000+ students to enter the Job Market and contribute to Society with majors in different fields.
• Apart from the curriculum, the trainees undergo many interview techniques and placement training to become job-fit.

Yes, we provide lots of help in the preparation of job interviews and searching for a job after the completion of course. Our placement team works dedicatedly to help you. We will conduct practice interviews, group discussions, etc. which helps to prepare oneself for Data Analytics job interviews.

For help with enrollment and enquiry about our courses, students can call us at 93450 45466 or walk into our office.

There are no formal prerequisites in order to take up the Data Analytics Training conducted by FITA Academy. However, some background in the disciplines of Statistics and Probability would be helpful for an individual to understand the concepts much better. Your foundational knowledge will also help you pick up things faster and deal with complex topics quickly.

Founded in 2012 by professionals experienced in the IT industry, FITA Academy carved a niche for itself in the training of people through the quality of its training and its fee structure. More than 75,000+ students have been trained at its branches and centers.

At FITA Academy, we are essentially providing very personalized service to our students, whether it is course structures, timetables, and solving conceptual problems so that we maintain the batch size very small at about 5-6. This shall give sufficient time to our trainers to solve all your questions and make clear even the toughest doubts. We ensure that the time and care which each student deserves towards his development are accorded.

Our Data Analytics instructors come with practical experience of working on live data and running large Big Data, AI, and Data Analytics projects. They use well-known industry tools and software.

We accept UPI, Card, and Bank Transfer for payment.

Students at FITA Academy have flexible class hours, at any time during the week or weekends. Hence, learning here in this academy is easily accommodative of a tight schedule and still find time to enjoy one's self.

They may contact us right from the website, or even visit our premises and place a request for their missed classes. We stand, therefore, ready to save the customers by offering new rescheduled sessions so that customers can have replacements in their course records.

The cost of a Data Analyst course varies from institution to institution. Typically it costs around Rs 30 - 50K.

There is no strict threshold in data analysis, although any formal study of mathematics, statistics, or computing is advantaged. Once one looks at positions, most explicitly require at least a bachelor's degree in one of the items previously mentioned, though again, more importantly, one needs to be analytically savvy and enjoy working through problems using data.

Data analysis is a skill relevant to any business today since organizations have started to realize its worth in making decisions. Skilled data professionals seeking growth and advancement opportunities are presented with a wide spectrum of career opportunities. Today, every organization, from small startups to large enterprises, wants to turn their raw data sets into insights that will drive business strategies and innovation.

Most of the fresh graduates in data analytics typically enjoy a high financial position. To borrow a leaf from that, it is such an easy career to lend skills from, as entry-level analysts can contribute to sectors such as healthcare, financial services, consumer goods, and digital marketing. This vast range of opportunities pushes the career prospect level higher and makes elasticity in the professional way more inclined toward personal interest and interest in the industry.

Although this is true that the ability to code would help tie data analysts together, some tasks do not require deep programming knowledge in data analysis. Overall, coding in the context of data analytics is very role-dependent, tool-dependent, and dependent on the nature of the projects handled.

Data analytics can be challenging but not intrinsically hard if one has an analytical bent of mind. It requires technical skills, statistical knowledge, business acumen—above all, dedication and practice. With so many online courses and other resources having come up, most people can be trained in data analytics with persistent efforts.

Data analytics has a stressful side, especially with the tightly set deadlines, the solution of complex problems, and the pressure to share actionable insights. After all, this depends on the work environment, the size of the projects, and some people's ability to manage their workload. Others have found that the intellectual challenge and the potential for impactful results make it a rewarding career for those who love working with data.

As businesses rely more and more on data, the prospects for a data analyst are very good. Any competent data professional in any industry will be in demand and opening new opportunities in areas like AI, Machine Learning, and big data.

Yes, the demand for data analysts is expected to increaseas organizations continue to rely on data-driven decision-making across all industries. The growing volume and complexity of data further solidify their importance.

Data analytic techniques are certainly supported by mathematical concepts, particularly in statistics and probability. However, the extent of the use of math varies across roles and tasks. A strong base in math definitely helps, but most of today's tools and software in data analytics are potent enough to undertake complex computations, leaving the professional to interpret results and obtain insights.

A data analyst would probably need a bachelor's degree in statistics, mathematics, computer science, or some other similar field. A candidate should have good skills in data manipulation and statistical analysis tools, such as SQL, Python, R, along with data visualization tools like Tableau.

The jobs of a data analyst will be complemented, not replaced, by AI. While AI can process huge datasets and draw out a pattern that may not be immediately visible to human analysts, human analysts are still needed for contextual interpretation and critical thinking.

Data analysts critically rely on coding for work in processing and analysis. Principal programming languages, Python, R, and SQL, equip such analysts with manipulating data sets, implementing statistical models, and affording custom solutions. Such coding skills bestow upon an analyst the power to automate workflows, develop very advanced algorithms, and extract knowledge from complex data structures.

The demand for data analytics is expected to increase as businesses shift strategically toward data-driven policymaking, supported by big data technologies and AI applications. In that respect, highly qualified data analysts able to elicit critical insights and lead an organization in effective decision-making will easily find numerous job opportunities.

While some positions are focused on much more interpretation of data with pre-built tools, others are less apt to be so. Such an analyst would not develop any new applications or tools, which would differ from a data scientist or software engineer. They extract insights using existing software, keeping the role quite different from more development-oriented tech jobs.

The average annual renumeration of a Data Analyst in India is 6.4 Lakhs or approximately ₹53,200 monthly. The number is a calculation based on the data of the salary of over 100,000 working Data Analyst professionals from diversified sectors.

The duration of the data analysis course varies from institution to institution. Typically, it is around 6 months.

There are a slew of career roles that data analytics course graduates can engage in: data engineer, scientist, architect, database administrator, and analyst. All such roles provide good entry opportunities for beginners. In general, entry-level salary parameters for those mentioned roles start at a minimum of INR 4 lakh per annum or even higher, further showcasing the strong demand for data skills in the market.

You can start as a data analyst and move on to senior-level analyst, analytics manager, director of analytics, or even chief data officer. If you have been looking at treading this career path, you want to develop your leadership and data skills.

Yes, most data analysts are able to work remotely. Of importance, the nature of data analysis, mainly in digital tools, collaborates on working sites, is in favor of remote work. However, specific work-from-home opportunities depend on the employer's policies and particular role requirements.