Complete Data Science Course in Bangalore: Learn Data Science from Basics to Advance

Our course syllabus is designed from basics to advanced concepts, so freshers will not face any problem in projects. Since the demand for Data Science is more than the current resources, we can expect huge opportunities for engineers in this field soon.

The duration of the Advanced Data Science course in Bangalore is 5-6 months for weekend batches. We don’t compromise with the quality of teaching and make sure to complete the course on time.

We teach you from the basics. However, if you have strong fundamentals of statistics, mathematics and basic knowledge of Python, then it is a bonus.

Placement of an individual depends solely on the candidate’s calibre. There are many factors that determines your placement – communication, technical skills & projects that you have done during course. And the most important factor is your performance on the D-day. Our Data Science institute in Bangalore offers 100% placement assistance to all the deserving candidates. If qualified, we also offer opportunities for in-house internship.

We do offer 100% Placement assistance to all the deserving candidates and the brighter ones make it to our in-house internship.

As the term suggest, it is a research-oriented job and that’s what makes it interesting and different from other jobs. Data Scientist are the highest paid IT professionals since the job needs in depth knowledge of statistics, love for data, logical reasoning, critical thinking, understanding of mathematics and fair amount of programming skills. If you love to explore and have the attitude to learn then you don’t need any masters or PHD degree to become a good data scientist. Professionals in different job functions or industries who want to help their company leverage big data can learn Data Science. Professional who can benefit by learning our Data Science training in Bangalore are database administrators, business analysts, statisticians, researchers, computer scientists and data engineers.

Candidate is supposed to know the basics of Python for DS before enrolling in the course. They shall be evaluated before joining the DS course. Also, the candidate needs to put in at least 10-12 hours of time towards the course, apart from the class hours.

Candidates are expected to have their own laptop with a minimum i3 or equivalent processor.

Student/Fresher enrolled for the best data science course in Bangalore can expect a starting package that is at least 1.5 times that of a regular IT job. (For Example: TCS pays a starting package of Rs.6.5 lakhs for new age skills whereas normal IT freshers land up with half the salary; (Source https://timesofindia.indiatimes.com/business/india-business/tcs-doubles-pay-for-fresh-hires-with-new-age-skills/articleshow/66046643.cms). Data Science as a career option can save you from the upcoming job-insecurity as well as it is the steppingstone to AI.

Corporate: Individuals from industry can expect at least 35-40% hike in their current salary on switching to the Data Science domain. Also, they can expect better job security, thanks to AI revolution.

Corpnce's Data Science training in Rajajinagar provides self-certification for candidates on successful completion of the course. Unlike earlier days, industry values subject knowledge over certification. Hence one should be thorough with the subject.

As per reports of Analytics India magazine, there are more than 92000+ Data Science related jobs available in India. So, there is ample of opportunity for people with experience in the industry. For fresher starting off as an intern, a Data Science course in Bangalore opens a wide array of job opportunities.

The Data driven decision making starts with relevant data collection for the right problem statement. In the pipeline, Big Data people who are also known as Data Engineers, are responsible for storing, collecting and systemizing the data. They supply right data at right time for analysis.

Data analytics (DA) & Data Science (DS) Engineers use the extracted data to get meaningful insights. DA is more focused towards Data Visualization & Data Screening, they might or might not need any coding skills as most of their work can be done on Excel Sheet/ Spread Sheet. They are more focused towards analysing the past performance of the company.

DS Engineers are more focused towards one very specific branch of statistics – predictive analytics. Here they need to have strong coding skills, math’s & stats skills and most important Machine Learning as a toolkit. So, they can predict future performance of a business along with analysing the past and present.

Machine Learning & Deep Learning are subsets of Artificial Intelligence (AI). Data Science includes Machine learning & Deep Learning as predictive models along with Exploratory Data Analysis.

A Data Scientist needs to have good ML skills and intuition to raise right question to solve business problems. Whereas, ML & DL engineers are only focused towards specific prediction problems like image processing, Natural language processing (NLP), pattern recognition, Semantics, Crowd Computing, Sentiment Analysis etc. So, in brief a DS professional knows the fundamentals of all ML & DL techniques for basic problem solving whereas ML engineers are more focused towards specific problems.