Students have the freedom to devote a good portion of their time learning new tools, understanding business problems, teamwork exposure, and most importantly, a critical thinking mindset. Full-time courses include theoretical principles, tests, and practical modules applied to real-world situations. The instructors are mostly senior data scientists who have worked in the industry and are best suited to provide job-ready skills in a practical classroom setting. People choose to develop their skills by enrolling in short-time courses, viewing free online videos or reading blogs and website tips. However, these free resources do not provide an organised learning strategy even if the knowledge is from reliable sources. Even if you already have some data science experience, having this structure is vital.

Before starting Analytics Vidhya, Kunal had worked in Analytics and Data Science for more than 12 years across various geographies and companies like Capital One and Aviva Life Insurance. He has worked with several clients and helped them build their data science capabilities from scratch. You will normally have a first degree in related discipline (2.2 minimum) or relevant experience or equivalent qualifications. Acceptable subjects include artificial intelligence, computer forensics, computer science, computing, information technology, artificial intelligence, data science, computer forensics and digital forensics. Data scientists use a range of computational and statistical techniques to unlock insight from data and solve complex problems. This emerging profession sits at the cutting-edge of computer science and graduates are increasingly in demand from industry.

Data Science Course

In this unit, you’ll practice the concepts you've learned so far by creating a story out of a data set. You’ll come up with interesting questions you can ask of your data set and use plotting techniques to reveal insights you can use to create a narrative. In this unit, you'll learn to program in Python, how to follow best coding practices, and start using an ecosystem of powerful Python-based tools. Professionals with zero to five years of work experience aspiring to kick-start a career in data science.

Earning one credential can launch a career – but a combination helps you earn a credential that could transform your future. Designed for data scientists, this program covers SAS topics for data curation techniques, including big data preparation with Hadoop. "The data science course is excellent; the explanation of concepts was crisp. The instructors have good depth in the subject and solve every doubt one might have. Thanks to GUVI for setting a great structured program." This course focuses on machine learning and is delivered as a series of video lectures along with homework assignments and a final exam. As well as an overview of how computers “learn”, it goes into depth with the mathematics (students are expected to have a working knowledge of matrices and calculus, so this one isn’t for complete maths newbies). A lot of this is because of the proliferation of self-service infrastructure and tools designed to automate many of the technical but repetitive tasks involved with data cleaning, preparation and analytics.

ExcelR- Data Science, Data Analytics, Business Analyst Course Training Andheri
Address: 301,Third Floor, Shree Padmini Building, Sanpada, Society, Teli Galli Cross Rd, above Star Health and Allied Insurance, Andheri East, Mumbai, Maharashtra 400069
Phone: 091082 38354

Data Science Course