This course is a hands-on guided course for you to learn the concepts, tools, and techniques that you need to begin learning data science. We will cover the key topics from data science to big data, and the processes of gathering, cleaning and handling data. This course is well balanced between theory and practical, and key concepts are taught using case studies references. Upon completion, participants will be able to perform the basic data handling tasks, collect and analyze data, and present them using industry standard tools.
Who are We? HELP University is a leading private institution. DataViz My are the facilitators of the Data Science Course at the Malaysian Global Innovation & Creativity Centre (MaGIC).
What are we offering: Data education for professionals that can be applied immediately for business value. Supportive learning & networking environments with concepts and hands-on practice with real world use cases.
Learning value for participants:
- Gain a competitive edge through machine-assisted data discovery for product, service innovation & optimisation
- Leverage large amounts and varieties of datasets to identify and predict areas of customer growth and operational efficiency
- Rapidly adapt to market conditions through agile data analysis to identify emerging niche opportunities
Eduonix brings to you a complete and unique course which will quickly help you to get started with CouchDB helping you learn all that you will need to make use of this amazing technology in your own projects. The course will teach you the following among various other things
- The NoSQL Database Design Techniques
- How a SQL system is different from a Document based system
- What are the most amazing features of CouchDB and how to use them in your project
- CouchDB features and attributes
- Database design using CouchDB
- A hands on project development using CouchDB
Does your profession require you to deal with large data on a regular basis?
Do you wish you could be better at dealing with those numbers?
This course brings about a solution for you by teaching you how to manipulate and analyse the data in the most basic language, Python.
This course doesn’t only seek to teach you about data analysis but also helps you learn how to apply it inreal-life situations. Apart from detailed programs on learning the basics of Python and the art of data analysis using Python, the course provides you with five projects that are real-life case studies.
Starting with the basics of Python, learn how to analyse big data, visualise them, and become an entry-level data analyst.
What is this course about?
This course is a collection of case study on analytics from various industries. It will help users to know about how analytics has helped to meet customer demand with efficiency.
Terminology To be used by Target Audience to find this course
- Analytics Case Study
- Analytics Case Studies
- Case Study on Analytics
- Case Studies on Analytics
- Analytics success stories
- Using Analytics for customer success
- Analytics applications
- Application of Analytics
Course contains HD videos and PDF file.
You are interested in learning about Amazon Web Services (AWS) and getting into the wide realm of cloud computing and server storage. So how can you get into this realm as an AWS architect or just learn about an alternative option to expensive server storage? That is what this course is for.
I have learned over 14 programming languages such as JAVA, Python, C++, R, Matlab, Ruby, CSS, HTML, Angular JS, Java Script as well as others. I have also had a successful freelancing career programming software and mobile applications and well as working as a finance data analyst. Since technology is changing every day, it is adding new realms of complexity to the amount of data out there. How do you get access to server computation on demand and for cheaper upfront costs? My job in this course is to demystify Amazon Web Services so you can see a clear road to success as a cloud computing architect.
This course serves to help you navigate AWS. My hope is to transform you in 4-5 lectures from being a novice to data and what is possible with AWS to being someone who has a clear idea of whether he/she is interested in hosting on AWS and what path they can take to further their knowledge and harness the POWER of AWS.
Understand the Now – Predict the Future!
Time series analysis and forecasting is one of the key fields in statistical programming. It allows you to
- see patterns in time series data
- model this data
- finally make forecasts based on those models
Due to modern technology the amount of available data grows substantially from day to day. Successful companies know that. They also know that decisions based on data gained in the past, and modeled for the future, can make a huge difference. Proper understanding and training in time series analysis and forecasting will give you the power to understand and create those models. This can make you an invaluable asset for your company/institution and can boost your career!
- What will you learn in this course and how is it structured?
You will learn about different ways in how you can handle date and time data in R. Things like time zones, leap years or different formats make calculations with dates and time especially tricky for the programmer. You will learn about POSIXt classes in R Base, the chron package and especially the lubridate package.
After that you will learn about statistical methods used for time series. You will hear about autocorrelation, stationarity and unit root tests.
Then you will see how different models work, how they are set up in R and how you can use them forforecasting. Of course all of this is accompanied with plenty of exercises.
We are surrounded by data. We work with numbers every day. How can we understand them and how can we show trends, correlations or insights to other people?
The solution is putting those numbers into visual form. This ability is one of the most sought-after skills on the job market, because the amount of data that needs to be sorted, analyzed and understood is increasing at formidable rate.