August 31 2021

Essential Statistics And Big Data For Data Science

Essential Statistics And Big Data For Data Science
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.19 GB | Duration: 3h 9m

Data science has become a key industry driver in the global job and opportunity market.

What you'll learn

Concept of Data Science

Statistics And Its Applications

Describing Data


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


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 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 Ee 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 gives you a unique opportunity to learn from and practice with the experts who are progressing with the field as the field itself is constantly growing.

Who this course is for:

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

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