Data Science is the field of study that combines domain expertise, programming skills, and knowledge of maths and statistics to extract meaningful insights from data.
The way companies/organizations take crucial business decisions is changing with Data Science. We are moving from intuition-based decision making to data driven decisions. Data Science integrates traditional data analytics with state-of-the-art Machine Learning and Deep Learning techniques (predictive analytics) to take better decisions with lower risk.
Suitable for top executives/managers/learning enthusiasts to get a hawk-eye view and have an overall understanding of Data Science and other related concepts without programming.
Time Frame: 16 Weeks | Teaching Hours: 32 Hours
Data science course fees in Bangalore: Rs. 64000/-*
The Data Science course in Bangalore is specifically meant for professionals looking to change domain, want to embrace the AI revolution or find a job in this domain. We are one of the leading training institutes offering this extensive course with 4-6 industrial projects.
TOOLS: Bokeh, MatplotLib, IPython, Jupyter, MySQL, NLTK, NumPy, SciKit-Learn, Pandas, Pytorch etc
Time Frame: 7-8 Months | Teaching Hours: 165+ Hours |Hands on Hours: 150+ Hours
Data science course fees in Bangalore: Rs. 95,000/-* (EMI starting @ ₹4500/-)
As more and more industries are relying on data-based solutions, there is an increasing demand for certified and trained data scientists. Market surveys show that currently, there are more than one lakh openings for data scientists in the country. As more and more companies start adopting data science technologies, the need for data science professionals is only expected to increase. Certified and 2 years experienced data scientists can earn up to 15 lakhs per annum, on average. The salary will increase exponentially as you gain more expertise and experience in the domain.
Professionals who can take up Data Science courses offered by Corpnce in Bangalore include
Download Data Science Syllabus
Successful Data Scientists usually have a thorough understanding of various tools, in addition to programming languages, and understand their roles in data science. Most of the successful Data Scientists have learned the below programming tools
75%
20%
36%
19%
Industries/Companies employ Data Scientists to help them gain insights about the market and to better their products. The below industries/companies are hiring more data scientist employee for their business growth.
Technology/IT
28%
Industrial
39%
Financial
47%
Healthcare
08%
Industry | USA | India | UK | Other |
Technology/IT | 47% | 47% | 35% | 42% |
Financial | 9% | 21% | 24% | 17% |
Healthcare | 1% | 2% | 2% | 2% |
Industrial | 43% | 30% | 38% | 40% |
Job Roles for Machine Learning Engineer
Job Roles for Data Scientist
The median salary for a Data Scientist in India is Rs. 818k
Though there are numerous data science training institutes that offer Data science course in Bangalore, Corpnce is considered as one of the elite institute to provide offline classes with focus on project-based learning and knowledge implementation. Our core competency is simplicity, we follow a tested and scientifically evaluated learning curriculum that will help you to understand complex data science principles in very easy manner. Our data science training in Bangalore starts with a preparatory session for Python programming. You will be able to brush up your programming skills, and can understand the art of coding from experts. After you learn Python programming, you will learn statistics and probability, which again are very important for data science applications. Our Data science training in Bangalore next focus on in depth hands-on coding for data visualization, data wrangling with Pandas, data science industry protocols and process, Big Data, machine learning models including both Regression and Classification, deep learning with ANN, computer vision and NLP with PyTorch, transfer learning, model building and finally deployment in cloud using API and DevOps.
Read MoreData science is one of the most demanding field nowadays, having presence in fields like IT, healthcare, finance, marketing, security, banks, automation, etc. With the rising demand in data science, more people want to learn this and make a career in this field.
There are many job opportunities for freshers learning data science and working people with experience as well. This Data Science certification course is designed by professionals for you to get the best jobs in top MNCs. This certification is well recognized in the top 80+ MNCs,such as Ericsson, DELL, IBM, Infosys, Volvo, CGI, TCS, KPIT, Lowe's, Unilever, Box 8, etc.
Corpnce Offers Project- based Classroom Learning By Industry
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Working professionals from any industry with prior coding knowledge or exposure to data driven process can join the course. In case, the profile doesn’t match above criteria they need to qualify the Python fundamental test & TQ evaluation test to take up the DS course.
Technical Student from Engineering, MCA, BCA, MTech, PHD, Medical, Statistics, Finance can join the course subject to initial screening same as for working professionals.
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.
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