Data Science | Data Analytics Course

R, Python Programming
Data science course institute in Ernakulam

A trending forecasting method for business: Data Science.

Every day we create 2,500,000,000,000,000,000 (2.5 Quintillion) bytes of data. Data has becomes the most abundant thing today. So data scientist is the “Sexiest Job of the 21𝑠𝑡 century”and the concept to unify statistics, data analysis, machine learning and their related methods" in order to "understand and analyze actual phenomena" with data. The main motive of data scientist is to merge the all types of data for analysis ,the actual circumstances and use their skills like mathematical, statistical and programming to make appropriate solution for the business. They apply all their analytic powers like industry knowledge, contextual understanding, to uncover hidden solutions to business. So, analytics is defined as the scientific process of transforming data into insights for making better decisions.

Analytics is a skill that involves technologies, statistics, data mining to gain business insights from data and statistics. This insight is used to perform good business planning. In case of data analysis. Data requirements are necessary as inputs to the analysis, which is specified based upon the requirements of those directing the analysis or customers. The requirements may be communicated by analysts to custodians of the data, such as information technology personnel within an organization. The structured data organized without any errors with help of spreadsheet or statistical software. As per the exploratory analysis we find out the visualizations and some mathematical calculation that can be helpful for small study of data and help to know about our business fluctuations.

Course Syllabus

  • Data Science with Business Intelligence
    • Introduction to Data Science
      • What is Data Science?
      • Different types of Analysis
      • Analytics Methodology
      • Basic Statistical Analysis
      • Basic Business Analysis
      • Forecasting methods
    • R Studio
      • Introduction
      • Different types Data visualization using R
      • Different types of test using R
      • Data Manipulation
      • Clustering
      • Types of Regression method
    • Excel
      • Overview of Excel
      • Data visualization with different types of graphs
      • Data Analysis with Different methods
      • Data connections From Different Sources
    • Python
      • What is Python?
      • What is Numpy Package?
      • What is Pandas Package?
      • Different types of Data Visualization methods
      • Types of Regression method
    • SPSS
      • Overview of SPSS
      • Different types of Data Visualization
      • Types of Regression method
    • SAS
      • SAS Introduction
      • SAS Data Visualization
      • SAS Regression
    • Tableau
      • What is Tableau?
      • Importance of Tableau
      • Different types of Data Visualization method
    • SQL
      • What is SQL?
      • SQL Functions
      • SQL Keywords
    • Machine Learning
      • What is Machine Learning?
      • Importance of Machine Learning
      • Different types of Data visualization method
      • Types of Regression method
      • Natural Language Processing

DURATION : 3-4 Months

We conduct 3 to 4 months of data science course with 100% placement support. Contact us to get the course syllabus provided by AMBIT before getting admission.

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