Business Intelligence Database

Business Intelligence Database

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Category
Data Science

Course Description

What is Data Science?

Data is the new oil for all industries. Data science is the study of data. It involves developing methods of acquiring and analyzing data effectively, extract useful information, and help businesses to solve their priority problems/take decisions.

Data science is an interdisciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data. Data science is related to data mining and big data. Data mining is a subset of data science.

Data science is more closely related to the mathematics field of Statistics, technologies (Python, R, Machine learning, Deep Learning, AI, Tableau/Power BI, Big data), any domain expertise which includes the collection, organization, analysis, get insights, build and deploy model and presentation of data.

Why Data Science?

Now a day’s everyone is discussing data science. We are in the era of cutting-edge information technology where the computing power of computers has increased exponentially, storage capacity has increased tremendously and the cost of both has come down significantly.

So data and computing power have become weapons and with the help of data science, we can solve business problems at hand using already built-in algorithms. Be it, to predict sales in the upcoming month or next 3 months, or predict if the person is having cancer or doing market basket analysis, data science can help to solve all such problems.

It helps businesses to increase profit, revenues, sales, increase productivity, alerts businesses on inventory, alerts if patients will have trouble in the future, and so on so forth. Across all domains, data science is being used. Currently, the demand for a supply of data scientists is inversely proportional.

All companies are seeking good data scientists, data analysts, data engineers, ML engineers, Data Visualizers, to help them to find out insights from the data and solve their and client’s business problems.

Anyone from any industry can transition into the data science field including freshers without requiring much programming knowledge. You need to have passion, patience, and perseverance to become a data scientist or one of the roles – Data Analyst, Data Engineer, ML Engineer, Data Visualizer.

Hope this helps. Let me know if you need any more details from my end.

We are the Best IT Training Institute providing Data Science Course in Pune. Our Data science is a 100% job-guaranteed training course in Pune.

Objective
  • To become a professional in different roles(Data Analyst, Data Engineer, Jr. ML Engineer, ML Engineer, Sr. ML Engineer, Data Scientist, Data Leader) in Data Science world
  • To provide insight into real world scenarios of life as a Data science professional in IT Industry
  • To provide students with indispensable knowledge and skills which will enable them to pursue career in the IT Industry as a data science professional in capacity of different roles
  • To provide skill based professional training for career advancement
  • To provide the entry/mid level professionals with concrete building blocks to create a path for full employment and successful career
  • To provide guidance/assistance for ‘How to crack interview’, Do’s and Don’ts of an Interview
  • And last but not least To find a Job in Data Science domain
ITP Advantages
  • The course specifically designed as per the requirement from various IT Clients
  • Certified Trainers from the IT industry with a rigorous understanding of the specialized domain
  • Lecture contents are prepared by Industry expert
  • Live Projects based training under the guidance of industry experts
  • Weekly workshop from industry experts
  • An innovative teaching methodology which delivers in-depth knowledge with quality tailored programs that maximize a return on your investment.
  • Strategic Association for global certification
Structure TThe course will have regular classroom Lectures, Practical Sessions, Seminars, Tutorials, Case Studies, Assignments and Exams.
Duration 230 HOURS – 4 MONTHS (MONDAY TO FRIDAY) – (2 HOURS A DAY)
Eligibility
  • Undergraduates, Graduates and Post-Graduates
  • Need analytical and logical thinking
  • No Previous Programming Experience necessary
  • Job aspirants / fresher looking to commence career in Data Science domain
  • Passionate about Data Science or programming
Career prospective
  • Can assist Python developer
  • Data Analyst
  • Makes foundation for Data Engineer, ML Engineer
  • This course will make entry to data science domain/world
  • Sr. ML Engineer, Data Scientist
  • Tableau developer, Tableau Consultant
  • Data Engineer, Data Visualizer
  • Associate ML Engineer

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