Advanced Bootcamp Bigdata And Data Science By Spotle

What you'll learn
Fundamentals Of Data Science
Fundamentals Of Statistics For Data Science
Predictive Modelling Techniques
Fundamentals Of Classification Analysis
Fundamentals Of Exploratory Analysis
Time Series Analysis With Case Studies
Fundamentals Of Big Data
Hadoop Fundamentals
HDFS Fundamentals
Apache Spark Fundamentals
Big Data On Cloud
Fundamentals Of Artificial Intelligence And Machine Learning
Supervised And Unsupervised Learning
Requirements
You will need to have a computer or a mobile handset with an internet connection
Knowledge of basic statistics will help
Description
Data science and big data have become key industry drivers in the global job and opportunity market. This course with mix of lectures from industry experts and Ivy League academics will help engineers, MBA students and young managers learn the fundamentals of big data and data science and their applications in business scenarios. In this course you will be introduced to1. Big data fundamentals2. Hadoop Fundamentals3. HDFS Fundamentals4. Apache Spark Fundamentals5. Big Data On Cloud6. Data Science Fundamentals7. AI, Machine Learning, Deep Learning Fundamentals8. Fundamentals Of Statistics For Data Science9. Fundamentals Of Predictive Modelling10. Fundamentals Of Classification Analysis11. Fundamentals Of Exploratory Analysis12. Time Series Analysis With Case Studies
Overview
Section 1: Introduction To Big Data
Lecture 1 Big Data At A Glance
Lecture 2 Overview of Big Data
Lecture 3 Big Data Market Size
Lecture 4 Big Data Perspective And Volume
Section 2: Hadoop Fundamentals
Lecture 5 Overview of Hadoop
Lecture 6 Hadoop Architecture
Lecture 7 Hadoop Components
Section 3: HDFS Architecture, Benefits And Limitations
Lecture 8 HDFS Architecture
Lecture 9 HDFS Benefits
Lecture 10 Issue With Small Files
Lecture 11 Other Limitations
Section 4: Apache Spark Fundamentals
Lecture 12 Apache Spark Overview
Lecture 13 Spark Architecture
Lecture 14 Hadoop Vs Spark
Section 5: Big Data On Cloud
Lecture 15 Big Data On Cloud
Section 6: Introduction To Data Science
Lecture 16 Introduction To Data Science
Section 7: Overview Of AI, Machine Learning And Deep Learning
Lecture 17 Introduction To Artificial Intelligence
Lecture 18 Introduction To Machine Learning
Lecture 19 Introduction To Deep Learning
Section 8: Fundamentals Of Machine Learning
Lecture 20 Introduction To Supervised And Unsupervised Machine Learning
Lecture 21 Introduction to Classification Problem and Decision Tree
Lecture 22 Introduction to Cluster Analysis
Section 9: Fundamentals Of Statistics For Data Science
Lecture 23 Probability Refresher - Introduction, Rules and Conditional Probability
Lecture 24 Bayes Theorem and Conditional Probability
Lecture 25 Random Variables - Expectation and Variance
Lecture 26 Random Variables and Distribution
Lecture 27 Basic Statistics - I - Measuring Central Tendency
Lecture 28 Basic Statistics II - Measuring Skewness and Kurtosis
Section 10: Fundamentals Of Statistical Decision Making
Lecture 29 Statistical Estimation
Lecture 30 Test Of Hypothesis
Lecture 31 The Basics Of Normality Test
Lecture 32 Test Of Normality - Part 2
Lecture 33 Test Of Normality - Part 3
Section 11: Fundamentals Of Predictive Modelling
Lecture 34 Understanding Linear Regression
Lecture 35 Understanding Logistic Regression
Section 12: Fundamentals Of Classification Analysis
Lecture 36 Decision Tree Basics
Lecture 37 Discriminant Analysis With Case Studies
Section 13: Fundamentals Of Exploratory Analysis
Lecture 38 Cluster Analysis - Features of Cluster Analysis
Lecture 39 K-means Clustering
Lecture 40 Hierarchical Clustering - Part 1
Lecture 41 Hierarchical Clustering Case Studies
Lecture 42 Hierarchical Clustering - Part 2
Anyone with an interest in Data Science and Big Data and their applications in business


Homepage

https://www.udemy.com/course/advanced-bootcamp-bigdata-and-data-science-by-spotle/