CHOOSE YOUR BEST COURSE

Data analytics is a narrow niche of the data science field. Data analytics focuses on collecting data, cleaning the data, and organizing it, as well as descriptive and predictive data analysis. A data science training course, on the other hand, leans on machine learning algorithms for solutions. It teaches you how to identify patterns in data and formulate relevant questions.

Both data science and data analytics careers offer various opportunities. For example, the Business Analytics 360 course can guide you in starting from scratch to become a business analyst. If you want to deepen your understanding of algorithms and predictive modeling, a machine learning course can be beneficial.

Your choice of course should be influenced by your experience and knowledge, and keeping in mind what stream you aim to work in after completing the course. You will get all this guidance from expert mentors at Ai Campus. Ai Campus provides top-notch data analytics education in Bangalore, Noida, and Delhi for each of these career paths.

The path to a career transition in data science can vary significantly due to the broad nature of the field. It depends on the particular job you take up, the course you did, and the organization you are working for. However, we can draw insights from real-world experiences shared by our alumni. You can verify their journeys by checking their profiles on LinkedIn.

An inspiring example is of a history graduate becoming a data analyst at Air India. Starting with advanced Excel skills, our wonderful student earned certifications in various analytics technologies. Despite lacking a computer science background, attributes some of his success to Ai Campus for providing him with precisely what he needed to make this remarkable career shift.

This example is just a glimpse of the many success stories in our alumni network, demonstrating that individuals from diverse backgrounds can successfully transition into data science. It underscores the fact that active professionals can obtain a data analytics certification with a bit of extra effort and achieve their career goals.

Ai Campus was established in 2011 and aims to provide a comprehensive array of data science training programs for IT/ITES working professionals. While many organizations share a similar mission, Ai Campus has earned a reputable status over the past decade through its distinctive approach. We aim to give a fresh learning start to working professionals in multiple streams like data science, data analytics, artificial intelligence, etc.

The core mission of Ai Campus is to enable the youth of India to harness future opportunities effectively and take the potential streams by their horns. Ai Campus is recognized as the top data science institute in India by Analytics India Magazine and stands out as a leader in the field.

When deciding a data analytics program for yourself there are multiple intersections of your future that you need to keep in mind. One cannot just go with a trendy or popular course because it might seem great but however, it might not cater to your needs. It's important to clarify a few points before addressing this question effectively. The first question to answer is about your specific goals. Have you considered potential career paths, and are you seeking training for a particular country or region? Addressing these aspects will help tailor the recommendation to your circumstances.

That said, many beginners often opt for the Data Science 360 course and the Business Analytics 360 course. You can find a comprehensive list of certification courses on our website for further exploration. You can have detailed discussions with our mentors at Ai Campus to understand each course. This will help you know what our courses offer and then come to a worthwhile decision.

Ultimately, the key is to choose a course that aligns with your professional objectives and brings you closer to your desired career or job. Data science and analytics are intricate fields, and the experienced instructors and mentors at Ai Campus are well-equipped to help you navigate through them, drawing from their extensive industry expertise.

It is definitely possible for non-programmers to do a successful career change and work in data science. The main question is how does one do that?

There are multiple roles in the field of data science that do not require coding knowledge. Their roles are those of data science project manager, data science consultant, data visualization specialist, and technical writer for data science software. Nevertheless, I understand that this might not be the answer you were expecting. It is perfectly viable to pick up coding at any point in life and use it to do better at your job.

In response to question 3, you can find an account of how a history graduate effectively leveraged Python to transition into a data analyst role.

For individuals without programming experience, Ai Campus offers the Data Science 360 course. This course is for people who have not ventured into coding before as data science and it’s tools are taught from scratch serving as an essential gateway to the field. This comprehensive program takes you through a three-part journey. You will first gain proficiency in SQL and advanced Excel, followed by learning R, Python, and the fundamentals of machine learning and predictive modeling while comprehending the foundational aspects of data science. Upon completing this course, you will be awarded dual certification from IBM and Ai Campus, along with a placement guarantee.

The Analytics Edge course primarily aims to prepare working professionals for careers in business intelligence, business analytics, and data analytics. This program is widely recognized as the most practical data analytics training available in India, catering to professionals seeking a comprehensive understanding of data analysis.

Here's a summary of what you will gain from this data analytics course. This analytics edge course is available on-site in Gurgaon, Bangalore, and Delhi:

Proficiency in managing relational database management systems.

A solid command of structured query language (SQL).

Competency in data visualization using Tableau and R.

Advanced Excel skills.

Entry-level skills in data science.

This course is designed to take you from a novice level to a versatile analytics professional, equipping you with the knowledge and skills needed to excel in a variety of analytics roles.