Showing posts with label Big Data. Show all posts
Data Analytics Training in Vellore
What Will I Learn?
Successfully perform all steps in a complex Data Science project
Create Basic Tableau Visualisations
Perform Data Mining in Tableau
Understand how to apply the Chi-Squared statistical test
Apply Ordinary Least Squares method to Create Linear Regressions
Assess R-Squared for all types of models
Assess the Adjusted R-Squared for all types of models
Create a Simple Linear Regression (SLR)
Create a Multiple Linear Regression (MLR)
Create Dummy Variables
Interpret coefficients of an MLR
Read statistical software output for created models
Use Backward Elimination, Forward Selection, and Bidirectional Elimination methods to create statistical models
Create a Logistic Regression
Intuitively understand a Logistic Regression
Operate with False Positives and False Negatives and know the difference
Read a Confusion Matrix
Create a Robust Geodemographic Segmentation Model
Transform independent variables for modelling purposes
Derive new independent variables for modelling purposes
Check for multicollinearity using VIF and the correlation matrix
Understand the intuition of multicollinearity
Apply the Cumulative Accuracy Profile (CAP) to assess models
Build the CAP curve in Excel
Use Training and Test data to build robust models
Derive insights from the CAP curve
Understand the Odds Ratio
Derive business insights from the coefficients of a logistic regression
Understand what model deterioration actually looks like
Apply three levels of model maintenance to prevent model deterioration
Install and navigate SQL Server
Install and navigate Microsoft Visual Studio Shell
Clean data and look for anomalies
Use SQL Server Integration Services (SSIS) to upload data into a database
Create Conditional Splits in SSIS
Deal with Text Qualifier errors in RAW data
Create Scripts in SQL
Apply SQL to Data Science projects
Create stored procedures in SQL
Present Data Science projects to stakeholders
Requirements
Only a passion for success
All software used in this course is either available for Free or as a Demo version
Description
Extremely Hands-On... Incredibly Practical... Unbelievably Real!
This is not one of those fluffy classes where everything works out just the way it should and your training is smooth sailing. This course throws you into the deep end.
In this course you WILL experience firsthand all of the PAIN a Data Scientist goes through on a daily basis. Corrupt data, anomalies, irregularities - you name it!
This course will give you a full overview of the Data Science journey.
Upon completing this course you will know:
How to clean and prepare your data for analysis
How to perform basic visualisation of your data
How to model your data
How to curve-fit your data
And finally, how to present your findings and wow the audience
This course will give you so much practical exercises that real world will seem like a piece of cake when you graduate this class. This course has homework exercises that are so thought provoking and challenging that you will want to cry... But you won't give up! You will crush it. In this course you will develop a good understanding of the following tools:
SQL
SSIS
Tableau
Gretl
This course has pre-planned pathways. Using these pathways you can navigate the course and combine sections into YOUR OWN journey that will get you the skills that YOU need.
Who is the target audience?
Anybody with an interest in Data Science
Anybody who wants to improve their data mining skills
Anybody who wants to improve their statistical modelling skills
Anybody who wants to improve their data preparation skills
Anybody who wants to improve their Data Science presentation skills
The choice is yours. Join the class and start learning today!
Or you can do the whole course and set yourself up for an incredible career in Data Science.
For More Details :
Redback IT Solutions Pvt Ltd.,
No : 5/X2 Hari Ohm 2nd Street,
Phase III, Sathuvachari, Vellore.
+91 8189985551.
Mega Telegram Hack: Hackers Attacked 15 Million Telegram Users
More than a dozen Telegram accounts were compromised leading to the identification of 15 million users’ cell number. Two researchers were able to point out this mass hacking campaign being carried out and have hinted the involvement of Rocket Kitten group behind this.
The messaging app Telegram is quite popular in the middle-east nations and Latin America. Iran has around 20 million Telegram users which contribute to around 20 percent of the Telegram users. The abundance of users was enough to lure a hacker group. Reports have been floating around that around 15 million Iranian Telegram users’ phone numbers have been compromised.
Two researchers, an independent cyber security expert Collin Anderson and Claudio Guarnieri, were able to detect the security breach which utilized the two-factor SMS verification used by the Telegram app for adding a new device to a user’s account. The hacker, who has access to the SMS data of a device, could add his own device to the account and gain access to the data. Like this, more than two dozen user accounts were hacked.
The berlin-based Telegram stores the data in the cloud. It offers end-to-end encryption the users just like Facebook’s Secret Conversations in Messenger and WhatsApp platform.
Is the politics involved in Telegram hack?
The SMS verification process is a common multi-factor authentication implemented across various apps and services just like Telegram has done.
But, how these messages reach the phone? Through the cell phone company’s servers.
“We have over a dozen cases in which Telegram accounts have been compromised, through ways that sound like basically coordination with the cellphone company,” said Anderson.
The researchers didn’t rule out the possibility of the government-backed cellphone company acting as the greedy cat in the picture. The cat might be responsible for finding the details of the mice.
“The individuals that are targeted [in these Telegram hacks] are individuals who are human rights activists, they’re opposition figures, they’re individuals tied with people who are currently in jail or under house arrest or these sorts of things,” Anderson said.
“The fact that they’re going after these individuals shows that this is part of a larger understanding of the opposition environment inside of the country.”
A Telegram Spokesperson Markus Ra said that “if you have a strong Telegram password and your recovery email is secure, there’s nothing an attacker can do”.
Maybe the users can add an extra layer of security but in reality, 15 million cell numbers have been exposed.
The tale of the Kitten!
Rocket Kitten is a hacktivist group which is presumed to be behind this mass exposure campaign. The researchers have pointed to the Persian-language references in the code to relate the involvement of the Rocket Kitten group. The hacker group has been linked to the Revolutionary Guards in the past and the researchers have analyzed the similarity in the operations.
Telegram’s API is publically available and researchers said that same was used to identify the people against their cell numbers, whether they exist on Telegram or not. The mass identification carried out by brute forcing the numbers to the API to get the user ID. Telegram has disabled the ability to perform mass checks in the API.
10 Best Jobs In Tech Field To Apply For In 2016
If you are bored from your current tech job and looking to switch your job, remember this thing — some tech job are better than others. All you need is correct data at the right time to make the perfect decision.
The job hunting website Glassdoor is here to help you with its 2016 list of the best jobs. Civil engineer, mechanical engineers, and lawyers all have disappeared from this list. While the website has prepared a list of the top 25 jobs for 2016, out of those, we have picked the top 10 jobs in technology that you need to look for this year.
The list mentions the average salary, number of job openings and scores out of five. Let’s take a look:
10 best tech jobs you should apply for in 2016:
1. Data Scientist
Also called the ‘sexiest job of the 21st century’, the data scientist job profile is something that needs a wide range of skills including mathematical, statistical, predictive modeling, and business strategy skills. Their job includes collecting and analyzing ‘big data’ to present the hidden business insights.
Number of Job Openings: 1,736
Median Base Salary: $116,840
Career Opportunities Rating: 4.1
2. Solutions Architect
Solutions architect is a person who is responsible for converting the requirements into the architecture of that solution and describing it using a set of design architecture standards.
Number of Job Openings: 2,906
Median Base Salary: $119,500
Career Opportunities Rating: 3.5
3. Mobile Developer
The software requirements are converted into programmable code and programs by a mobile developer. Usually, a mobile developer is skilled in one specific field like mobile development, graphics software, business software etc.
Number of Job Openings: 2,251
Median Base Salary: $90,000
Career Opportunities Rating: 3.8
4. Product Manager
A product manager finds an intersection between technology, business, and user experience to discover a valuable and feasible product. This person oversees the projects and their progress.
Number of Job Openings: 6,607
Median Base Salary: $106,680
Career Opportunities Rating: 3.3
5. Software Engineer
A software engineer is responsible for the complete life-cycle of a new or modified version of a software. This person works on everything — research, design, training, application, and support.
Number of Job Openings: 49,270
Median Base Salary: $95,000
Career Opportunities Rating: 3.3
6. Analytics Manager
An analytics manager plays a key role in designing the future strategy of a company. This person generates information based on previous records and performance to arrive at a comprehensive result.
Number of Job Openings: 982
Median Base Salary: $105,000
Career Opportunities Rating: 3.7
7. Software Development Manager
A software manager is often called the ‘man in the middle’. This person deals with software development projects and takes care of various developments, customers, management, and sales aspects.
Number of Job Openings: 1,199
Median Base Salary: $135,000
Career Opportunities Rating: 3.4
8. QA [Quality Assurance] Manager
A QA manager ensures that the end product fulfills the relevant criteria, establishes procedures and certain quality standards.
Number of Job Openings: 3,749
Median Base Salary: $85,000
Career Opportunities Rating: 3.4
9. UX [User Experience] Designer
A UX designer is responsible for the looks and feel of a product. This person explores multiple approaches to arrive at a final solution to ensure that the product provides the best user experience.
Number of Job Openings: 863
Median Base Salary: $91,800
Career Opportunities Rating: 3.6
10. Software Architect
A software architect is a software expert that designs software applications and dictates how the software will be implemented in an enterprise.
Number of Job Openings: 653
Median Base Salary: $130,000
Career Opportunities Rating: 3.4
BIG DATA BIG DEMAND
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What: Big Data is the
collection and management of large and complex data pertaining to an organization.
Why: It makes storing
huge information easier. Such data can help companies carry out business
analytics and data based management, leading to better decision-making and
business planning.
It is predicted than in 2020, 50 billion devices will
be connected across the globe.
Storing information about each of these devices will
be connected across the globe.
Storing information about each of these devices is
going to be difficult without big data.
Where: Big Data finds
application in all verticals.
It is not restricted by geography. It comes with the
possibility of being accessed across the globe.
Who: Demand for big
data professionals is on the rise.
They should have been exposed to Hadoop and MONGO DB
and have the knowledge the ability to apply the knowledge in various processes
that go with Big Data, which include analysis, capture, curation, search,Sharing, storage, transfer, visualization, and
privacy violation.
When: According to
experts, huge hiring of big Data professionals will soon be witnessed in mobile,
healthcare and financial services.
