NEW AWS Certified Data Analytics Specialty DAS C01 Course
4.1 (18 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
116 students enrolled

NEW AWS Certified Data Analytics Specialty DAS C01 Course

Want to pass the NEW AWS Certified Data Analytics Specialty DAS C01 Course Machine Learning and AI. Take this course!
4.1 (18 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
116 students enrolled
Last updated 3/2020
English
English [Auto]
Current price: $139.99 Original price: $199.99 Discount: 30% off
5 hours left at this price!
30-Day Money-Back Guarantee
This course includes
  • 9.5 hours on-demand video
  • 2 articles
  • 10 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
Training 5 or more people?

Get your team access to 4,000+ top Udemy courses anytime, anywhere.

Try Udemy for Business
What you'll learn
  • Big Data collection, storage, processing, and management
  • Obtain in-depth knowledge of Data Analytics and AWS architectures and pass the exam
  • Big Data analysis and visualization
  • Big Data security
  • Data Science concepts and implementation
  • Become an expert with AWS Machine Learning tools and services
  • Level up your career and get AWS certified
  • Making unstructured data query-able with AWS Glue, AWS Athena and AWS QuickSight
  • Learn how to transform data with Extract, Load, Transform (ETL) technique
  • Processing data at unlimited scale with Elastic MapReduce
  • Optimizing transactional queries with DynamoDB
  • Queuing messages with Simple Queue Service (SQS)
  • Applying advanced machine learning algorithms at scale with Amazon SageMaker
  • Keeping your data secure with encryption, KMS, HSM, IAM, Cognito, STS, and more
  • AWS Rekognition with Python
Course content
Expand all 80 lectures 09:28:28
+ Introduction
5 lectures 24:12

In this lecture you will learn about the AWS Certified Data Analytics - Specialty course description and structure

Preview 03:02

AWS Certified Data Analytics - Specialty new exam vs old exam syllabus comparison will be detailed out in this lecture

Preview 07:51

In this lecture of AWS Certified Data Analytics - Specialty exam, you will learn sample question type and solution

Preview 08:33

In this lecture you will learn Why get AWS Certified? and the benefits

Why Get AWS Certified?
04:19

What is the average salary for jobs related to "aws big data specialist"?

The average salary for "aws big data specialist" ranges from approximately $89,695 per year for System Programmer to $139,487 per year for Software Architect.

Salary information comes from 32,590 data points collected directly from employees, users, and past and present job advertisements on Indeed in the past 36 months.

Please note that all salary figures are approximations based upon third party submissions to Indeed. These figures are given to the Indeed users for the purpose of generalized comparison only. Minimum wage may differ by jurisdiction and you should consult the employer for actual salary figures.

Average Salary AWS Certified Data Analytics - Specialty
00:27
+ Understanding Jupyter Notebook for Machine Learning Analysis
5 lectures 27:41

In this lecture you will learn how to install Jupyter

What is Jupyter Notebook and Jupyter Installation
04:19

In this lecture you will learn how to configure anaconda and virtual environment with Jupyter

Configuring Jupyter and Virtual Environment With Anaconda
07:36

In this lecture you will learn and understand Jupyter Kernels

Jupyter Kernels
05:20

In this lecture you will learn how to perform data analysis in Jupyter

Data Analysis with Jupyter
06:43

In this lecture you will learn matplotlib within Jupyter and create your basic plots

Plotting Matplotlib: Working with Jupyter
03:43
+ Machine Learning In Action: Hands-On
14 lectures 02:15:59

In this lecture you will learn how machine learning works on AWS

Machine Learning On AWS
07:25

In this lecture you will learn the first steps in creating a ML Model

Advanced Machine Learning
10:45

In this lecture you will learn and understand various data sources within AWS ML

Understanding AWS Data Sources
09:54

In this lecture you will learn all about different training models of ML in AWS

Machine Learning Training Models in AWS
07:24

In this lecture you will learn concept and application of feature transformation

Importance of Feature Transformation
06:26

In this lecture you will learn how to evaluate ML Models

Evaluating Models
13:40

In this lecture you will learn how to create data source for ML Model. Data collection plays an important part in ML

Creating a Datasource and Model
07:01

In this lecture you will learn serverless ML with AWS Lambda

Serverless machine learning inference with AWS Lambda
08:31

In this lecture you will learn advanced ML Concept and application

Advanced Machine Learning
07:50

In this lecture you will learn supervised machine learning

Supervised Learning in Machine Learning
08:46

In this lecture you will learn unsupervised machine learning

Un-Supervised Learning in Machine Learning
09:55

In this lecture you will learn how to prepare data in ML

Machine Learning: Preparing Data
03:33

In this lecture you will learn and understand deep neural networks

Deep Neural Networks in Machine Learning
13:59

In this lecture you will learn various neural network techniques in ML

Neural Network Techniques in Machine Learning
20:50
+ Reinforcement Machine Learning
8 lectures 01:00:53

In this lecture you will learn and understand reinforcement machine learning

Understanding Reinforcement Machine Learning
06:19

In this lecture you will learn hands-on reinforcement learning in action

Reinforcement Learning In Action
06:48

In this lecture you will learn all about dynamic programming

Dynamic Programming
10:28

In this lecture you will learn dynamic programming hands-on

Dynamic Programming In Action
13:11

In this lecture you will learn how to model an environment

How to Model an Environment?
07:59

In this lecture you will learn and understand Q learning

What Is Q Learning?
06:37

In this lecture you will learn the concept of shortest path in ML

Q Learning Shortest Path
04:43

In this lecture you will learn and implement Q learning hands-on

Q Learning In Action
04:48
+ AWS SageMaker
6 lectures 39:52

In this lecture you will learn all about AWS SageMaker features

What is AWS SageMaker?
05:00

In this lecture you will learn how machine learning works in AWS SageMaker

Machine Learning in AWS SageMaker
05:30

In this lecture you will learn all about linear learning within ML

Introduction to Linear Learning
05:27

In this lecture you will learn data preparation in linear learning, that is data collection and preparation

Linear Learning Data Preparation
06:43

In this lecture you will learn and train linear learning ML models

Linear Learning Training
07:18

In this lecture you will learn how to create a hyper-parameter training job

Creating a Hyper-parameter Training Job
09:54
+ Working With AWS QuickSight - AWS Athena and ETL Techniques
8 lectures 01:21:10

In this lecture you will learn how to create your first AWS QuickSight visual

AWS QuickSight: Creating Your First Visual
15:40

In this lecture you will learn and explore AWS QuickSight User Interface

AWS QuickSight UI
06:10

In this lecture you will learn how to upload the data set to AWS S3 for machine learning

Uploading DataSet to S3 Bucket
04:31

In this lecture you will learn how to create a database and table in AWS

Creating Database and Table in AWS
13:25

In this lecture you will learn how to make data connection

Making Data Connection Using AWS Athena
11:09

In this lecture you will learn and work with the sample machine learning Dataset

AWS UI Sample DataSet
11:30

In this lecture you will learn and understand AWS Data Lake , AWS Athena, and AWS Glue

AWS DataLake with AWS Athena, AWS Glue and AWS S3
12:37

In this lecture you will learn how to upgrade to QuickSight Enterprise

Upgrading QuickSight To Enterprise and Create VPC
06:08
+ Fraud Analytics in AWS
5 lectures 17:00
The architecture
02:36
Launching components through CloudFormation
04:20
Running the notebook
04:35
Enabling CloudWatch event rules
02:50
Visualizing the predictions
02:39
+ Advanced Data Analysis
10 lectures 01:01:33

In this lecture you will learn how to import CSV file

Importing CSV File
06:41

In this lecture you will learn how to create a basic filter in QuickSight

Creating a Basic Data Filter
06:43

In this lecture you will learn how to create a calculated field

Creating a Calculated Field
06:34

In this lecture you will learn and work with formulas in AWS QuickSight

Function Reference
05:06

In this lecture you will learn how to create your first story

Creating Your First Story
06:46

In this lecture you will learn how to publish QuickSight dashboard

Publishing Dashboard
04:01

In this lecture you will learn how to export visual

Exporting Visuals
03:13

In this lecture you will learn how to connect data source as twitter within AWS QuickSight

Connecting To Twitter
03:42

In this lecture you will learn and work with Autograph

Using Autograph
06:26

In this lecture you will learn important concepts

AWS Athena Glue Concepts
12:21
+ Machine Learning Essential Steps and Process
18 lectures 02:00:07

In this lecture you will learn the structure

What You Will Learn
04:50

In this lecture you will learn when and why to use ML

When To Use Machine Learning
04:34
Machine Learning Business Problem Framing
09:44

In this lecture you will learn different types of ML

Types Of Machine Learning
09:58
Machine Learning Algorithms
15:36

In this lecture you will learn various data types to be used in ML

Different Types Of Data
04:44

In this lecture you will learn how to collect structured and unstructured data as well as data integration

Data Collection and Integration
06:54

In this lecture you will learn data cleaning techniques in ML

Data Cleaning in ML
05:50

In this lecture you will learn Machine Learning data shuffling and splitting

Data Shuffling and Splitting
07:35
Features and Labels in ML
04:03

In this lecture you will learn types of data visualizations

Types of Data Visualizations
05:18

In this lecture you will learn feature engineering

Feature Engineering Revisited
06:12

In this lecture you will learn the concept of numeric value binning

Numeric Value Binning
07:01

In this lecture you will learn how to change parameters to optimize ML

Parameter Tuning to Optimize ML
05:18

In this lecture you will learn ML Models overfitting and underfitting concepts

Overfitting and Underfitting Machine Learning Models
07:25

In this lecture you will learn Machine Learning Goal Evaluation

Machine Learning Goal Evaluation
04:22
Data Augmentation in ML
05:38

In this lecture you will learn data prediction and how ML models can predict data and outcomes

Machine Learning Data Prediction
05:05
+ Learning Resources
1 lecture 00:01

Resources for the course

Resources for this section: Please download
00:01
Requirements
  • Students should have sufficient AWS knowledge and have 2 years or more experience with AWS
  • Beginners can also learn from scratch but will have to go through extensive lectures
  • Existing AWS power users
  • AWS services are not free so you may incur charges from AWS and you are responsible
Description

Welcome to this course. If you want to pass the NEW AWS Certified Data Analytics Specialty DAS C01 Exam, then look no further. I am here to help you prepare and PASS the newest AWS Certified Data Analytics Specialty DAS C01

Please note that our course material, like the AWS certification exams, are continually evolving. We have released a new version 2020 course, with a stronger and deeper focus on architectures in general, high availability, and the services you do need to know in greater depth.

If you are a beginner, then that is great. You do not need to know anything about AWS since everything is provided in this course to get you up to speed

According to salaries reported by LinkedIn members who work at Amazon Web Services in United States

The average salary for the role of Data Scientist with focus on AWS Machine Learning Architect at Amazon Web Services AWS in United States is 185000 US dollars per year. This salary is based on 122 salaries submitted by LinkedIn members with the title Data Analytics & Machine Learning Engineer at Amazon Web Services AWS in United States

AWS Certified Data Analytics - Specialty certification course is geared for people who want to enhance their skills in AWS to help organizations design and migrate their architecture to the cloud. This is the next step after obtaining your Cloud Practitioners Certification. This course will develop your skills your learned from the Cloud Practitioners Course in further detail. We cover a broad range of topics with a specific concentration on High Availability, EC2, VPC, Storage and Overall Management of the AWS Console.

You will learn AWS Sagemaker, AWS Machine Learning, Kinesis, Athena, Glue, QuickSight, Rekognition with Python, Jupyter notebooks, and much more.

Getting this certification will enable an IT professional to significantly boost their employability portfolio. AWS is the leading cloud services organisation in the world and they have massive expansion planned for 2019. Organisations are actively looking for professionals who have knowledge of the AWS platform in order to advise them on moving towards the cloud.

See what our students say It is such a comprehensive course that I don’t need to take any other course but this one to learn all important concepts and hand-on application with this AWS Certified Data Analytics Specialty course, and I would without a doubt recommend it to everyone. Jill Smith

This is such an awesome course. Clear instruction, and I loved every bit of it – Wonderful learning experience Martino Gonzales.

Join thousands of other students and share valuable experience.

This course also comes with:

  • Lifetime access to all future updates

  • A responsive instructor in the Q&A Section

  • Udemy Certificate of Completion Ready for Download

  • A 30 Day "No Questions Asked" Money Back Guarantee!

  • FREE AWS Certified Data Analytics - Specialty Exam


As AWS, Microsoft, and Cisco Certified,  a senior Enterprise Architect & Project Manager managing and deploying enterprise level IT projects, my experience with AWS has been phenomenally great. I am excited to share my knowledge and transfer skills to my students. 

Enroll now in AWS Certified Data Analytics Specialty course today and revolutionize your learning. Stay at the cutting edge of certification and Machine Learning along with Artificial Intelligence - and enjoy bigger and brighter opportunities.

I look forward to seeing you in class

Syed

Team ClayDesk

Who this course is for:
  • Beginner Data science students and data analysts
  • Anyone working with big data
  • Beginners who want to full career in data analytics with machine learning within AWS ecosystem
  • Anyone looking to get certified