Data Analytics Master's Program

BIT's Data Analytics Master's Program training course cover Data Science, R Programming, Tableau, SAS, MS Excel and MSSQL etc. you will master all the necessary tools and technologies that are involved in the field of Data Analysis.

What will i learn?
  • Create charts and plots in Excel, and work with Analytics to build dashboards.
  • Describe data ecosystem & Compose queries to access data in cloud databases using SQL & Python from Jupyter notebooks.
  • Develop a working knowledge of Python language to analyze data using Python libraries like Pandas and Numpy, and invoke APIs and Web Services.
  • Perform data analysis tasks like data mining and data wrangling using Excel spreadsheets and Jupyter Notebooks.
  • Visualize data using Python libraires like Matplotlib, Seaborn, and Folium.
  • Handling of data analytics with a graphical development environment, which makes advanced tools easily accessible without coding
  • Explain what Data Analytics is and the key steps in the Data Analytics process
  • Differentiate between different data roles such as Data Engineer, Data Analyst, Data Scientist, Business Analyst, and Business Intelligence Analyst
  • Demonstrate your understanding of gathering, wrangling, mining, analyzing, and visualizing data
Description

Data Analytics Master’s Program training course, you will learn about the various components of a modern data ecosystem and the role Data Analysts, Data Scientists, and Data Engineers play in this ecosystem. You will gain an understanding of data structures, file formats, sources of data, and data repositories. You will understand what Data is and the features and uses of some of the Big Data processing tools. Our Data Analytics training course covers the skills required to be a certified Data Analyst. You will learn multiple data analytics courses like Data Science, R Programming, Tableau, SAS, MS Excel and SQL database, etc.  

This course will introduce you to the key tasks a Data Analyst performs in a typical day. This includes how they identify, gather, wrangle, mine and analyze data, and finally communicate their findings to different stakeholders impactfully. You will be introduced to some of the tools Data Analysts use for each of these tasks. You will learn about the features and use of relational and non-relational databases, data warehouses, data marts, and data lakes. You will understand how ETL, or Extract-Transform-Load, process converts raw data into analysis-ready data. And what are some of the specific languages used by data analytics to extract, prepare, and analyze data. By the end of this course you will know about the various career opportunities available in the field of Data Analytics, and the different learning paths you can consider to gain entry into this field. The course ends with some exercises and a hands-on lab to test your understanding of some of the basic data gathering, wrangling, mining, analysis, and visualization tasks.

For more inquiries, visit our near BIT Training center or e-mail on inquiry@bitbaroda.com or visit one of the BIT Training Centers located in Vadodara (Manjalpur, Sayajigunj, Waghodiya).

Requirements
  • There is no prior Technical Knowledge required to learn Data Analytics.
Other related courses
Data Analytics Using SAS training course teaches to diagnose systematic variation in data collected over time, create forecast models to capture the systematic variation, evaluate a given forecast model.
Data Analysis using SAS training by BIT will help you master advanced analytics techniques using SAS language. In this SAS training course, you will learn SAS macros, PROC SQL, procedure, statistical analysis and decision trees.
Data Analysis using Python training course will help to understanding of the data ecosystem and the fundamentals of data analysis, such as data gathering or data mining.
BIT’s Data Analytics with R training will help you master in R Programming, Data Manipulation, Exploratory Data Analysis, Data Visualization, Data Mining, Regression, Sentiment Analysis and using R Studio for real life case studies on Retail, Social Media.

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