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NEW AWS Certified Data Analytics Specialty DAS C01 Course

Name: NEW AWS Certified Data Analytics Specialty DAS C01 Course
Rating: 3.7 (57 reviews)

Want to pass the NEW AWS Certified Data Analytics Specialty DAS C01 Course Machine Learning and AI. Take this course

Created bySyed Raza, Qasim Shah, Myra Gul, Ali Bokhari, ClayDesk E-learning

Last updated 3/2020

English

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 in depth
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

10 sections • 80 lectures • 9h 28m total length

Introduction & Meet Instructor3:02
In this lecture you will learn about the AWS Certified Data Analytics - Specialty course description and structure
AWS Certified Data Analytics - Specialty New Exam Vs Old Exam Comparison7:51
AWS Certified Data Analytics - Specialty new exam vs old exam syllabus comparison will be detailed out in this lecture
Sample Exam Question & Solution8:33
In this lecture of AWS Certified Data Analytics - Specialty exam, you will learn sample question type and solution
Why Get AWS Certified?4:19
In this lecture you will learn Why get AWS Certified? and the benefits
Average Salary AWS Certified Data Analytics - Specialty0:27
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.

What is Jupyter Notebook and Jupyter Installation4:19
In this lecture you will learn how to install Jupyter
Configuring Jupyter and Virtual Environment With Anaconda7:36
In this lecture you will learn how to configure anaconda and virtual environment with Jupyter
Jupyter Kernels5:20
In this lecture you will learn and understand Jupyter Kernels
Data Analysis with Jupyter6:43
In this lecture you will learn how to perform data analysis in Jupyter
Plotting Matplotlib: Working with Jupyter3:43
In this lecture you will learn matplotlib within Jupyter and create your basic plots

Machine Learning On AWS7:25
In this lecture you will learn how machine learning works on AWS
Advanced Machine Learning10:45
In this lecture you will learn the first steps in creating a ML Model
Understanding AWS Data Sources9:54
In this lecture you will learn and understand various data sources within AWS ML
Machine Learning Training Models in AWS7:24
In this lecture you will learn all about different training models of ML in AWS
Importance of Feature Transformation6:26
In this lecture you will learn concept and application of feature transformation
Evaluating Models13:40
In this lecture you will learn how to evaluate ML Models
Creating a Datasource and Model7:01
In this lecture you will learn how to create data source for ML Model. Data collection plays an important part in ML
Serverless machine learning inference with AWS Lambda8:31
In this lecture you will learn serverless ML with AWS Lambda
Advanced Machine Learning7:50
In this lecture you will learn advanced ML Concept and application
Supervised Learning in Machine Learning8:46
In this lecture you will learn supervised machine learning
Un-Supervised Learning in Machine Learning9:55
In this lecture you will learn unsupervised machine learning
Machine Learning: Preparing Data3:33
In this lecture you will learn how to prepare data in ML
Deep Neural Networks in Machine Learning13:59
In this lecture you will learn and understand deep neural networks
Neural Network Techniques in Machine Learning20:50
In this lecture you will learn various neural network techniques in ML

Understanding Reinforcement Machine Learning6:19
In this lecture you will learn and understand reinforcement machine learning
Reinforcement Learning In Action6:48
In this lecture you will learn hands-on reinforcement learning in action
Dynamic Programming10:28
In this lecture you will learn all about dynamic programming
Dynamic Programming In Action13:11
In this lecture you will learn dynamic programming hands-on
How to Model an Environment?7:59
In this lecture you will learn how to model an environment
What Is Q Learning?6:37
In this lecture you will learn and understand Q learning
Q Learning Shortest Path4:43
In this lecture you will learn the concept of shortest path in ML
Q Learning In Action4:48
In this lecture you will learn and implement Q learning hands-on

What is AWS SageMaker?5:00
In this lecture you will learn all about AWS SageMaker features
Machine Learning in AWS SageMaker5:30
In this lecture you will learn how machine learning works in AWS SageMaker
Introduction to Linear Learning5:27
In this lecture you will learn all about linear learning within ML
Linear Learning Data Preparation6:43
In this lecture you will learn data preparation in linear learning, that is data collection and preparation
Linear Learning Training7:18
In this lecture you will learn and train linear learning ML models
Creating a Hyper-parameter Training Job9:54
In this lecture you will learn how to create a hyper-parameter training job

AWS QuickSight: Creating Your First Visual15:40
In this lecture you will learn how to create your first AWS QuickSight visual
AWS QuickSight UI6:10
In this lecture you will learn and explore AWS QuickSight User Interface
Uploading DataSet to S3 Bucket4:31
In this lecture you will learn how to upload the data set to AWS S3 for machine learning
Creating Database and Table in AWS13:25
In this lecture you will learn how to create a database and table in AWS
Making Data Connection Using AWS Athena11:09
In this lecture you will learn how to make data connection
AWS UI Sample DataSet11:30
In this lecture you will learn and work with the sample machine learning Dataset
AWS DataLake with AWS Athena, AWS Glue and AWS S312:37
In this lecture you will learn and understand AWS Data Lake , AWS Athena, and AWS Glue
Upgrading QuickSight To Enterprise and Create VPC6:08
In this lecture you will learn how to upgrade to QuickSight Enterprise

Importing CSV File6:41
In this lecture you will learn how to import CSV file
Creating a Basic Data Filter6:43
In this lecture you will learn how to create a basic filter in QuickSight
Creating a Calculated Field6:34
In this lecture you will learn how to create a calculated field
Function Reference5:06
In this lecture you will learn and work with formulas in AWS QuickSight
Creating Your First Story6:46
In this lecture you will learn how to create your first story
Publishing Dashboard4:01
In this lecture you will learn how to publish QuickSight dashboard
Exporting Visuals3:13
In this lecture you will learn how to export visual
Connecting To Twitter3:42
In this lecture you will learn how to connect data source as twitter within AWS QuickSight
Using Autograph6:26
In this lecture you will learn and work with Autograph
AWS Athena Glue Concepts12:21
In this lecture you will learn important concepts

What You Will Learn4:50
In this lecture you will learn the structure
When To Use Machine Learning4:34
In this lecture you will learn when and why to use ML
Machine Learning Business Problem Framing9:44
Types Of Machine Learning9:58
In this lecture you will learn different types of ML
Machine Learning Algorithms15:36
Different Types Of Data4:44
In this lecture you will learn various data types to be used in ML
Data Collection and Integration6:54
In this lecture you will learn how to collect structured and unstructured data as well as data integration
Data Cleaning in ML5:50
In this lecture you will learn data cleaning techniques in ML
Data Shuffling and Splitting7:35
In this lecture you will learn Machine Learning data shuffling and splitting
Features and Labels in ML4:03
Types of Data Visualizations5:18
In this lecture you will learn types of data visualizations
Feature Engineering Revisited6:12
In this lecture you will learn feature engineering
Numeric Value Binning7:01
In this lecture you will learn the concept of numeric value binning
Parameter Tuning to Optimize ML5:18
In this lecture you will learn how to change parameters to optimize ML
Overfitting and Underfitting Machine Learning Models7:25
In this lecture you will learn ML Models overfitting and underfitting concepts
Machine Learning Goal Evaluation4:22
In this lecture you will learn Machine Learning Goal Evaluation
Data Augmentation in ML5:38
Machine Learning Data Prediction5:05
In this lecture you will learn data prediction and how ML models can predict data and outcomes

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, 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 organization in the world and they have massive expansion planned for 2019. Organizations 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

NEW AWS Certified Data Analytics Specialty DAS C01 Course

What you'll learn

Explore related topics

Course content

Introduction5 lectures • 24min

Understanding Jupyter Notebook for Machine Learning Analysis5 lectures • 28min

Machine Learning In Action: Hands-On14 lectures • 2hr 16min

Reinforcement Machine Learning8 lectures • 1hr 1min

AWS SageMaker6 lectures • 40min

Working With AWS QuickSight - AWS Athena and ETL Techniques8 lectures • 1hr 21min

Fraud Analytics in AWS5 lectures • 17min

Advanced Data Analysis10 lectures • 1hr 2min

Machine Learning Essential Steps and Process18 lectures • 2hr

Learning Resources1 lecture • 1min

Requirements

Description

Who this course is for: