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Data is everywhere whether in unstructured and structured format. Data science is a combination of data inference, algorithm development, and technology in order to solve analytically The basic goal of Data Science is solve analytically multiplex problems. Data scientists combine statistics, mathematics, programming, problem-solving, capturing data in ingenious ways, the ability to look at things differently to find patterns, along with the activities of cleansing, preparing, and aligning the data of complex problems.
Data Analytics the science of examining raw data with the purpose of drawing conclusions and solve problems about that information. Process and perform statistical analysis of data. It can be done using the aid of specialized systems and software. Where data has been present hugely and can't be analyzed by using regular software then it is called Big Data.
There is a huge scope of learning a data science these days as the concept of artificial intelligence, machine learning, and data mining is grooming day by day.
The skills that a person can have to make his career and become a data scientist are Statistics, Software, Tools, Machine Learning, Data Visualization, Linear Algebra and Multivariable Calculus, Data Mugging, Software Engineering and most importantly Thinking Like A Data Scientist.
In todays world Data science develper is having good job opportunity in software industry. Data science technology is now spreading spread across all over the world. Once you enroll for the data science course you will get the good salary increament in software industry.
In fact anybody can become data scientist. Whobody has been interested in mathematics, programming, statistics and designing they can become data scientist. As per your qualification you should make your career in data science if you are complete your graduation in BE, ME, BCA, MCA, B-Tech, and M-Tech. Working professionals who are having handson with Java, Python devlopment
Understand data science process and Analytical Life Cycle.
Getting knowledge about on Big Data and Hadoop Ecosystem.
Learn R Programming
Work with different data format.
Learn tool and technique for data transformation and visualization.
Understanding data mining technique and their implementation.
Understand Machine Learning and Artificial Intelligence.
Understand the role of data scientist
Able to build data products.
Evaluate performance of your deep Learning Models.
Learn statistical model building and optimization technique.
Analyze data using machine learning.
Collecting Data.
Processing Data.
Exploring and visualising Data.
Analyze & Applying Learning.
Deciding Based upon Insights.
Once you successfully finish your Data Science assignments and projects, our counselors provide you with one-on-one career guidance with great emphasis on mock interviews and building an online professional portfolio to help you get noticed by top recruiters.
Our industry experts tell you what exactly to put in your resumes and how to highlight them on top job portals.
We establish your presence on all the right social networks like Git, Stack Overflow, LinkedIn, etc.
Our industry experts give you insider tips on how to face the real tech interviews of top firms.
Interviews with top MNCs and start-ups and periodic placement drives will be arranged.