Big Data

360DigiTMG-Data Science course in Guduvanchery

Data analytics refers to the better use of data. In data analytics, we use previous data to predict the future result, it can be used to extract useful information or to find out hidden trends. It is a very vast field that is continuously changing.

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360DigiTMG-Data Science course in Guduvanchery

Introduction

Data analytics refers to the better use of data. In data analytics, we use previous data to predict the future result, it can be used to extract useful information or to find out hidden trends. It is a very vast field that is continuously changing.

Students will get to learn a lot of things through this amazing course. They will come to know about consumer trends, manage data and analyze the economic condition. It will provide you with amazing problem-solving skills, knowledge about the market, data mining and data storage.

For more information click here 360DigiTMG-Data Science course in Guduvanchery

Few skills students should have before going for Data Analytics are-

  • Strong Communication – it is important to clear every client’s doubt and to make them understand things in a better way.
  • SQL database- in this data is stored in tables and information is collected from different tables.
  • Microsoft Excel- you should be aware of how to handle excel and should have knowledge about all the tools of an Excel sheet.

The course includes case studies, predictive analytics, business analytics and training of Excel manual testing, digital marketing training, web development using Python, Data Analytics using SAS. 

Subject that requires data science are computer science, business and management.

Topics covered in the data analytics course are

  • Tool triangle
  • Data types, files and formats
  • Introduction to data
  • Data pipelines 

When we go for advanced business analytics specialization, we can find the following type of courses- 

  • Advanced Business Analytics results 
  • Business analytics for decision making
  • Communicating business analytics result
  • Predictive Modelling and Analytics.

Data Analytics with R includes below topics

  • Data types
  • Graphs in R
  • Looping
  • Working with string.

Basic topics covered in Business Analytics are

  • Data cleaning 
  • Data grouping 
  • Data visualization
  • Import and export data from pandas
  • Installing and setting up python
  • Introduction to data analysis 
  • Introduction to a data frame
  • Introduction to pandas and NumPy
  • Working with text data
  • Introduction to series

Advanced level topics that business Analytics covered is Data Analytics with Lean six sigma.

It is a team effort and works to reduce variation and systematically remove waste.

  • Data and DMAIC
  • Descriptive statistics 
  • Hypothesis testing and casualties 
  • Normal, lognormal, and Weibull distribution.

That said, big corporations and medium scale enterprises can invest a lot of money in business, but startups cannot afford to do the same. For companies that are struggling financially, or bootstrapping startups, it is wiser to invest a much smaller percentage of the publicity budget on digital publicity, at least at the beginning. Data analytics helps all such companies to predict future loss and make them understand about their next step.

What are you waiting for? The course is inspiring and enlightening. I would recommend all the students to opt for this course to brighten their future. 

And if you are searching for the best course in this field, you need to search no more. Enroll in our course now. 

For more information click here 360DigiTMG-Data Science course in Guduvanchery

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