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Essential Statistics And Big Data For Data Science

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Requirements

  • You will need to have a computer or a mobile handset with an internet connection

Description

Data science has become a key industry driver in the global job and opportunity market. A career in data science is something that many people are aspiring and preparing for. Statistics lies at the core of data science. This course is designed to help people learn the essentials statistics and Big Data for the advancement of their career in the field of Data Science.

Spotle

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Spotle is an AI-powered career platform where you are automatically matched with the relevant opportunities and skills for the advancement of your career. Targeted at the highly mobile millennial and Gen-Z population, Spotle provides a dynamic and agile platform to discover career choices matched to your life goals.

Spotle as a company brings together a solid pool of machine learning, data science experts; The experts who have built the very complex Spotle Recommendation Engine that runs at the core of Spotle platform to match you to your most relevant career choices; The experts who are passionate about machine learning, data science; The experts who are keen on sharing their knowledge for the advancement of this field.

Spotle courses give you a unique opportunity to learn from and practice with the masters of the field of Data Science.

Who this course is for:

  • Anyone who wants to learn and build a solid career in artificial intelligence, machine learning, data science field.

What you’ll learn

  • Concept of Data Science
  • Statistics And Its Applications
  • Describing Data
  • Distribution
  • Measure Of Central Tendency
  • Measure Of Dispersion
  • Skewness And kurtosis
  • Box And Whisker Plot, Scatter Plot And Correlation Coefficient
  • Basic Statistics And Visualizing Data With Python
  • Missing Data Imputation
  • Statistical Estimation
  • Characteristics Of A Good Point Estimator
  • MLE, Least Square, MVUE
  • Test Of Hypothesis
  • Normality Test
  • One-way And Two-way ANOVA
  • Contingency Table
  • Big Data Fundamentals
  • Hadoop Fundamentals
  • HDFS Fundamentals
  • Apache Spark Fundamentals
  • Big Data on Cloud

 

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