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Tag: big data and Hadoop training

Understanding the Differences between Linear & Logistic Regression

Posted on by Imarticus Learning

Linear regression is one of the most common types of statistical models used in data prediction. It’s easy to use, and it assumes that a straight line can express a relationship between two variables. Logistic is another type of statistical model that also makes predictions.

Still, it does so using a logarithmic function rather than a linear function. This post will explain how these two methods differ and give you some practical applications for them both.

What is Linear Regression?

The linear discriminant analysis uses when predicting one variable based on another. This model assumes that if the slope of the line changes, so does the value of the predictions. It fits a straight line to your statistics using an ordinary least squares method. If you have more than two variables, consider using multivariate instead.

What is Logistic Regression?

Suppose you have an extensive collection of data that includes three different variables, one of which is the outcome you’re trying to predict (label). Using Linear might not make sense if your result isn’t directly related to the other two variables (independent variables or features).

Logistics can easily handle non-linear relationships between the label and the elements. For example, if you’re trying to predict if an email is a spam or not. The probabilities generated by logistics can work even if your features are unrelated to each other.

The Differences between Linear & Logistic Regression

LINEAR REGRESSION LOGISTIC REGRESSION
It is a simple and robust method based on linear algebra. It is one of the most well-known machine learning algorithms.
It assumes that the relationship between features and the outcome is linear, making it ideal for modeling or analyzing existing relationships in data. It is for binary classification problems, but you can also use it to solve multi-class classification problems by using an approach called “one versus all.”
You can, however, add interactions between variables to create non-linear models such as quadratic functions. You can not add interactions between variables to create non-linear models.
Unlike logistic, linear doesn’t require the outcome to be known beforehand.

 

 Logistic gets considered a supervised algorithm because you must provide the predicted (outcome) label beforehand.
 It is excellent at handling these events because it only cares about the relationship between features and outcomes. Logistic, on the other hand, is designed for discrete data (categorical or binary). It can’t handle these cases effectively because of how the sigmoid function works.

 

The table summarizes some of the critical differences between linear and logistic. Notice that, like all machine learning models, both algorithms are affected by outliers or data points outside the normal range (tails) that generate significant errors.

Explore and learn with Imarticus Learning

Learn the fundamentals of data analytics and machine learning and the most in-demand data science tools and methods to become job-ready. With Tableau, a student can learn Python,  SQL, Data Analytics, Machine Learning, and data visualization. The curriculum includes Capstone Projects, real-world projects, relevant case studies, and mentoring to assist students in becoming a master in their fields.

Some course USP:

  • Data science courses in India aid the students in learning job-relevant skills that prepare them for an exciting data scientist career.
  • Impress employers & showcase skills with a certification endorsed by India’s most prestigious academic collaborations.

World-Class Academic Professors to learn from through live online sessions and discussions. It will help students understand the 360-degree practical learning implementation with assignments.

Contact us through the live chat support system or schedule a visit to Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, and Gurgaon training centers.

What Job Opportunities Are Available For Apache Hadoop Experts?

Posted on by Imarticus Learning

Everyone talks about Apache Hadoop but no one talks about the scope of employment in the field. As you must have already learned, Hadoop as an application software aids a variety of processes across business sectors in the world. Its development tools are primarily used to store and process Big Data.

In that regard, there are several different types of job roles you can take up. As an Apache Hadoop expert, you can either join a software company that develops the tools or an application company that takes advantage of those tools.

The following are some of the most common types of jobs you can do once you learn Hadoop and master it.

Job Opportunities for Apache Hadoop Experts

A quick look at some of the career paths available in the field.

Apache Hadoop Developer

This is the most common job you can get once you finish your Hadoop training and gain some experience. Your role will basically entail the building of data storage and processing infrastructures. Since different companies follow different processes and have different products and services to sell, building a unique one for each of them is important.

For example, a Hadoop developer working at a bank will need to focus on extra security. Hadoop Spark and Hive are some of the technologies you will need to be skilled at.

Data Analyst

If you are going to deal with Big Data, you might as well be an analyst. Don’t see this role as an entry-level job. Data analysts with Hadoop training are in high demand these days as they can oversee the architecture and its output.

You have to be proficient in SQL. Huge to be able to work on SQL engines like Hive. If you are still studying, make sure you carve out a specialization as part of your Hadoop training.

Tester

Most software application jobs have this role of a tester who detects bugs in systems and helps developers with solutions. Testers are important in a Hadoop environment too as they can help detect issues in a newly built infrastructure. Some companies even have an entire team of expert testers who provide continuous suggestions and testing results to better an ongoing infrastructure build.

The good part about being a Hadoop System Tester is that you can switch to this role from any field. Are you a software tester at TCS? Learn Hadoop, get trained, and become a Hadoop tester.

Data Modeller

In this job, you will be a supporting member of the Hadoop development team in a company. A modeler’s responsibilities include system architecture and network designing so that a company’s processes align with the newly created infrastructure for Big Data.

Years of experience in this field can open gates for employment in large corporations. Here you can participate in decision-making rounds.

Senior IT Professionals

The Hadoop environment doesn’t just need people with technical Hadoop skills. It also needs innovators and world analyzers who can provide wise suggestions in the entire process involving a Hadoop setup. It could be in the development phase, processing phase, or output phase.

These professionals have decades of experience in research and development as well as a fair understanding of Apache Hadoop. If you are a senior IT professional who realizes the significance and relevance of the field in the modern world, you can learn Hadoop and slightly shift your career path.

Apart from these five job opportunities, there are several roles that you can take up if you have some qualifications in the field. So, start your Hadoop training and get a job today!

Why Working Professionals Must Learn Business Analytics?

Posted on by Imarticus Learning

The business world is currently witnessing the worst catastrophe ever. Employees across the world are struggling to save their jobs. It is tougher to get a new job, even though there are opportunities around. But what decides who gets the prize?

Business Analytics CourseBelieve it or not, professionals who have undergone a business analytics course have a better chance of landing jobs when compared to those who don’t. Learning about analytics works for the advantage of the company as well as for the professionals.

Multi-skilled professionals score more!

The need of the hour is multi-skilled professionals since several companies are paring down their employees to cut their expenses. At this moment someone with multiple skills in a wider area becomes an asset.

The profile of a business analyst covers different areas such as data mining, research, technology, analysis, communications, etc. The analyst is the one who goes through data to come up with the right solution for a problem in business.

A business analyst is someone who identifies the pulse of the customer to find out what is expected and how to deliver the expected quality product. The analyst will need to go through an endless range of data to find out the key factors that work and then implement it most effectively.

It is the implementation part that requires the use of the different areas of expertise expected of a business analyst. Someone who is knowledgeable in this area is most likely to score above the other fellow workers.

Going with the tide

Professionals are taking full advantage of the current work from home scenarios. Not all of them are enjoying some time at home. Instead, they have enrolled themselves in several courses to upgrade them in their profession.

Learning analytics is definitely on the cards for several of them. Not only would it allow them to learn something new but also make them eligible to test some new waters.

Business Analytics CourseBusiness analysis is definitely one of the best options for freshers. Luckily for them, there are a number of business analytics online training options that they can choose from. Undoubtedly, it will be a new opening for them while helping them swim with the flow.

It’s part of the competition

From the companies’ point of view, the competition between them is getting tighter and the best way to get the edge is to find professionals who are capable of raising the bar. Getting the most skillful person wins half the game.

In order to fulfill such roles, the employees need their skill set polished and upgraded. The scope for a business analyst is higher since the finance as well as the business sectors rely hugely on stored data. The success of any business depends upon how the data is utilized in the best way that reaches the customers.

Bottom Line

The business analysis course makes way for improving knowledge for professionals. At the same time, it also helps them polishing their leadership qualities. This is one profile that qualifies for someone starting from scratch or for a well-established business. Both of them need the assistance of data analysis to grow their respective businesses.

What makes it more appealing is the fact that any professional from any background can become a business analyst and end up making crucial decisions that change the course of the businesses.

How Big Data Analytics can impact business results?

Posted on by Imarticus Learning

Big data analytics are for those companies, corporates, and global organizations that take their businesses and the respective business aspects such as efficiency, growth rate, profit-making, market positioning, market targets, customer satisfaction and stakeholder satisfaction seriously, and wish to see a consistent development and progress in all of these business aspects periodically.
Let us deeply examine how big data analytics can impact your business.

1. Data collection gives insight – The general big data collection made by companies and corporates sketch a deep insight into its customers, trends in markets, profit scopes and loss areas, help in understanding their product in relation to the business market, and the target products and services that will enable bigger profits and revenues to the company/organization at large.
2. Improvement of internal operations – With the impact of big data analysis not only will you be able to understand the business worlds, business markets, your goods/services value in this relation, you will also understand what business aspects and agencies within your business operations need attention and work. This can positively contribute to the progress, development, and profitability of your company/organization largely.
3. Understand employees and workforce – Through big data analysis you will be able to understand the efficiency, effectiveness, and quality of your company’s/corporate workforce at large, and be able to help them become better at their skill sets, tools, and techniques, or you may even choose to hire better, and competent professionals from the job market. This will naturally impact your organization’s success scale in various contexts.
4. Helps understand the consumer – Big data analytics not only helps you understand the needs, requirements, and standards that your stakeholder wishes you to deliver but it also imparts a deep understanding about the consumers in the marketplace. This will, in turn, inform you about the aspects where you can improve, re-build, and develop your goods and services as per the consumer market demands and requirements. This will add to your corporate profitability and growth immensely.
5. Understand your company’s strengths – Big data analytics with all its insight and analysis about the information on market trends, customers demands, market’s profits, and demands, helps you sustain your business by giving you a clear analysis and look into your company’s already existing strengths and merits. These can be worked upon further to gain more progress, development, business evolution and direct your profits in a seamless manner. You will also understand what makes your company a leader, and be able to predict its future with the help of big data analysis.

Data Science Course

The above are but just some of the advantages of big data analysis. A professional big data analyst will tell you that data mining today is equivalent to gold mining a company, and these information pieces, data, and tools must be kept with the company for the present, and future analysis, and also to learn from past failures/blunders. Thus, big data analysis is a comprehensible, strong tool in understanding an organization/corporate/enterprise in the most precise manner possible. You can gain a big data analytics course to kick start a job in data analytics as a career.