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Statistics for Data Science

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Course Fees: $359
Certificate : Yes
Language : English
Course Type : Instructor-Led
Level : Intermediate
Subject : Data Analysis & Statistics
Course Overview:

Data science is the field of study that focuses on extracting meaningful insights from data. This course teaches you programming skills, relevant mathematical and statistical concepts. It also covers tools such as Python and Advanced Excel. As an intermediate course, it provides industry-oriented case studies in retail, finance, insurance, healthcare and e-governess as part of training and projects.

Learning Outcome:

Upon completion of this course, you will be able to carry out essential skills involved in data science such data mining, data analysis, and data visualization. Key topics covered include:


  • The fundamentals of descriptive statistics
  • Measures of central tendency
  • Descriptive statistics – a practical approach.
  • Distributions, Confidence, Intervals and advanced topics
  • Hypothesis testing
  • Fundamentals of regression
  • Linear Regression
  • Categorical Data

Ideal for:

  • Computer science / software engineering students / professionals
  • Data science / statistics students / professionals
  • Arts and science, and engineering graduates / professionals

Job opportunities and Career growth:

Data science is among the fields that hold tremendous job potential now, and its significance continues to grow multifold, as governments, organizations, and professions bet heavily on collecting and making use of data to gain insights into solving problems. Students/professionals with a grounding in data science concepts, and frameworks, upon acquiring software skills, can expect to jumpstart their career as:

  • Data Scientist
  • Data Analyst
  • Data Science Lead
  • Manager - Data Analytics
  • Business Analyst

The top employers of data science and analytical skills are software, and consulting firms. Equally enthusiastic in hiring these professionals are services industries especially finance, and retail, and various manufacturing sectors.

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