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Tag: Best Data analytics course with placement in India

Data analytics courses: 7 skills everyone needs to know

Posted on by Imarticus Learning

Data analytics courses: 7 skills everyone needs to know

Today, it is not an exaggeration to say that the world runs on data. The world creates 2,500,000,000,000,000,000 bytes (two and a half quintillion bytes) of data every day! Data analytics has become the jargon of the modern business, and talented data analysts are needed now more than ever before. As a result, more and more students are opting for a Data Analytics course as it stands for a lucrative job offer. 

best data analytics courseA Data Analytics Certification helps individuals to disrupt, innovate and drive their organizations’ strategies in a better manner today.

There are a variety of Tableau Course and  Data Analytics Courses online as job openings call from every industry of the market, from manufacturing and supply chain to banking, healthcare, and retail.

Here are the 7 skills that everyone needs to know if they plan to pursue Data Analytics Certification Courses to become an in-demand data professional:

Machine Learning

Machine learning has become the most important arm and leg of Data Science. As an extension of Artificial Intelligence (AI), it helps one in finding patterns in big data sets and build on algorithms to improve accuracy over time. Having a general understanding of machine learning-related tools and concepts will give you an edge over competitors. Some of the courses available on the Imarticus platform are Postgraduate Program In Data Analytics And Machine Learning And Certification In Artificial Intelligence And Machine Learning.

Structured Query Language (SQL)

To communicate with the databases, one needs to know the Structured Query Language (SQL). It allows the data analyst to modify data structures, and organize and update data. By exploring data, one learns how to analyze data as well in time. SQL has a good hold in companies everywhere because of its functionality and maintained effectiveness. Hence, it is considered one of the most important skills needed to land a data analyst job.

Data Visualization

A course in Data Analytics should equip an individual to gather insights and string the information together in a story format so that business owners can make better decisions. One can build data models and create business intelligence reports and use visual representations in a better way. The ability to visualize data empowers a data analyst to gain a better understanding of a company’s situation, deliver useful insights, and make better company decisions.

R or Python – Statistical Planning

Being able to write programs in R or Python can help one visualize as well as analyze data sets better. Although R is regarded better for analytics, Python is considered easier to learn of the two. Both languages fascinate businesses because they can handle complex or large quantities of data. Learning a language goes a long way in building a program that will collect, collate and analyze data.

Modern Statistical Thinking

Collecting, analyzing. and representing data are all parts of statistics. A strong foundation in probability and statistics is an important data analyst skill. Honing skills to develop modern statistical thinking will help an individual identify trends and patterns, avoid biases, fallacies, and logical errors in the analysis and produce accurate and trustworthy results.

Data Management

Managing data is of utmost importance, be it in any vertical of industry, as it interacts with different stakeholders over time. Storing data and information in such a way that it is cost-friendly and secure, helps data analysts to develop another skill set altogether. One can dive deep into how data works in the cloud and physical environments.

Presentation skills

For data to make sense, data analysts must perfect their presentation skills. Data visualization and presentation skills go hand-in-hand. After all, based on historical data, analysts can forecast future trends. Gain the job-ready skills for an entry-level data analyst role so that one can leverage technical skills to build a great career in the field of data analytics.

Things to Take Away!

Putting in time and effort and enrolling at a great center can help one to achieve great heights and propel one to succeed. To explore data analytics courses that can help one pursue a lucrative career in this field and assist in upskilling as well, join us now! Contact us through chat support, or drive to our training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, and Gurgaon. 

Learn Computer Vision: What is Hyberbolic Image Segmentatioan?

Posted on by Imarticus Learning

Learn Computer Vision: What is Hyberbolic Image Segmentation?

Currently, we carry out optimization at the pixel level in Euclidean embedding spaces for segmenting images. We do this through linear hyperplanes (2D visualization). Keep reading to clear your concept for the Artificial Intelligence Course regarding a key alternative for image segmentation that is done in hyperbolic space. 

Computer Vision is one of the most exciting topics covered in Artificial Intelligence and Machine Learning Certification. This field allows systems and computers to retrieve important information from digital visuals like images and videos. Based on the received data, computers process information to make suggestions to the user. 

If we were to simplify the concept, computer vision tries to make computers view images and videos the way humans do. Today, the advancement in deep learning and neural networks has made these systems exceed human performances in some aspects like object detection. 

Today, spherical and Euclidean embeddings dominate the most-used tasks of computer vision like image retrieval and image classification. 

On the other hand, Hyperbolic Image Segmentation is one of the latest standards for segmenting images. It offers multiple practical benefits like: 

  • Uncertainty estimation
  • Boundary information
  • Zero-label generalization 
  • Increased performance in embeddings of low-dimension

Why do we use Hyperbolic Image Embeddings? 

In Natural Language Processing (NLP) tasks, hierarchies are ubiquitous. The widespread presence of these tasks motivates the use of hyperbolic spaces in this field. This is because hyperbolic spaces inherently embed tree graphs and other types of hierarchies with minimum distortion. 

While retrieving an image, you will notice that an overview picture of something can be mapped to the closeups of many unrelated pictures. These pictures might have a wide range of dissimilarities in their details. 

Furthermore, let’s consider classification tasks. For such tasks, an image that contains representations from many classes is generally connected to images that possess the representatives of those classes in insulation. Thus, the process of embedding such a dataset, which contains composite images, into a continuous space is said to be similar to hierarchy embedding. 

There are also some tasks where generic images are used. These images could be related to obscure images because they lack much information. For example, if face recognition software is run over an image that contains a blurry face, the software could match the unclear image with the high-resolution images of many different people. 

There are several inherent hierarchies in NLP that go beyond to reach the visual region. For instance, you can use hierarchical grouping to visually represent different species of plants. 

Collectively, using hierarchical relations in AI increases the demand for hyperbolic spaces for output embedding. As the volume of Euclidean spaces expands, the resulting expansion is polynomial in nature. However, the expansion of hyperbolic spaces is exponential. This results in the generation of continuous tree analogues. 

This information makes it possible to conclude that the unrevealed hierarchy of visual information can be captured by the expanding hyperbolic output embedding. 

Get an Industry-Ready Artificial Intelligence and Machine Learning Certification

During the certification course you will get the insights of the artificial intelligence and machine learning concepts, latest trends and much more to achieve success in the field.  You can become a part of this global institute by joining our centers in cities like Mumbai, Pune, Lucknow, Chandigarh, Hyderabad, Kolkata, etc. Get in touch with our team by emailing info@imarticus.com to know more about the programs. 

The Changing Face of the Retail Industry with the Emergence of Data Analytics

Posted on by Imarticus Learning

The introduction of new technologies like data analytics has revolutionized the way we think about retail. Even the figure of the retail professional is changing and evolving. Companies are in a phase of change and are looking for new professionals who understand the difficulties, issues, and challenges of the sector.

Read on if you want to know how data analytics drives the retail business, and to find out more about the roles of data science and retail banking in this industry.

Data Analytics in the Retail Industry 

Today, companies operating in the retail sector leverage the power of data analytics more than anything to ensure business continuity and growth. Retail employees have traditionally had relatively little training in their area of work. This trend is changing and must change if retailers are to improve the shopping experience and be able to adapt to new customer demands.

In today’s world, customers are becoming more and more dependent on e-commerce and no longer depend on going to a store to get information and rely on what the salesperson tells them; rather, customers rely today on store personnel to get information or resolve doubts that they themselves have not been able to find or resolve online. This requires greater professionalization of employees to meet the customer’s demands at the point of sale.

Role of Data Analysts

Data analysis is the science of examining a set of data for the purpose of drawing conclusions about the information in order to make decisions or simply to expand knowledge on various topics, it is an indispensable tool for market forecasting and identifying good investment opportunities.

Many industries, like investment banks and retailers, are already using data analytics. With increasing competition in these markets, businesses are being shaped according to the demands of end-users. Data analytics is a key tool in helping them offer products and/or services that address these demands. 

Data Analytics for the Retail Industry

The retail sector is therefore increasingly demanding professionals with data analytics certification and marketing expertise, as analytical and creative skills are positively valued to find solutions in a changing environment. 

Many aspects of this type of company, from distribution to warehouse logistics, are changing and continue to change drastically in the coming years. Stores are and will be an important factor in a retailer’s sales, as the physical point of sale allows interaction with the customer that is impossible for now in online commerce.

Online sales are going to coexist with physical stores and therefore, new professionals with expertise in the omnichannel world who can relate to both worlds are required. Therefore, having trained staff capable of analyzing data, identifying weaknesses and strengths, and implementing the necessary changes in time will be indispensable for the retail industry to survive the technological revolution. 

Individuals with business analytics skills are being highly valued in these industries. At Imarticus, you can access data analytics courses online to learn how data analytics affects the retail industry. 

Why Imarticus for Data Analytics Online Course?

At Imarticus we offer a PGA Program in Data Analytics and Machine Learning design specifically for fresh graduates and early career professionals that want to pursue a career in Data Science and Analytics. We offer this industry-designed curriculum in partnership with many industry leaders.

During your formative years, we will provide you with real-life case studies via its data analytics courses that will train you for the real world. On completion of the data analytics program, our Imarticus team will guarantee you interview opportunities. Enroll today and begin our data analytics program!

Magic off the Pitch: Role of Data Analytics in Cricket!

Posted on by Imarticus Learning

Cricket with 1.5 billion followers makes it one of the most followed sports in the world. Many followers of the sport have their favorite team, and they always try to predict the outcome of the match, considering some factors they know.

Various factors like a home ground advantage, experience of the players, performance at the specific avenue, performance in the past matches, the current form of the team and the players, and performance against a particular team decide the game’s result.

With some minimal imagination and minute calculations, we can’t predict the outcome successfully. But research has grown beyond our imagination. Many data science courses have been designed to predict the results based on previous data.

best Data Analytics courses in IndiaArtificial intelligence and the best data analytics courses with placement in India have become trendy and started presenting their significance in many sectors. Sports are also included in those sectors. NBA, Soccer, Baseball, and Cricket are such sports that use data analytics to make informed decisions.

Cricket is a game that generates enormous data because it is the game played by 106 member nations of the ICC, and many players are involved in it. This data is helpful for the teams to make the most out of the matches.

Selection of the players, order of batting, order of the bowling, field placements, and many more decisions taken by the experts or captains of the team depends on the analysis of the data generated. Followers may not know that there is an expert team of data analysts behind every successful match. The perfect combination to win a game is technology integrated with 100% effort of the players on the ground.

We need to remember an exciting line that ‘Data Never Lies’. We can definitely get some valuable inputs by analyzing the data. Data analysts consider many different stats to predict the fate of the tournament. This predictive analysis helps the team to strategize and plan the game accordingly. Sponsors too depend upon the data analysis. Search for how to become a data analyst now and build your career in the sports industry.

 

 

Here we are addressing some essentials of data analysis.

  • Captains can make crucial decisions with ease

Cricket is a dynamic sport, and many critical situations would arise during the game. A captain can then rely on data science to make a perfect decision in those moments. Data analytics can help the bowlers and batsmen increase their performance. Data science focuses on implementing machine learning and predictive modeling in the sport. These applications can turn losing matches into wins. We can analyze the performance of the batsmen and the effectiveness of the batsman against a bowler.

  • Improving the performance of the player

We can analyze the player performance using past data. We can see the number of dot balls, the number of yorkers bowled by a bowler, how effective they are against batsmen, etc. With regards to batsmen, we can watch previous deliveries and where he fails to connect. All these types of analysis can be helpful in building training modules for the players.

  • Keeping cricket fans engaged

We have to accept that without fans, no sport would survive. Spectators and fans keep the heat high with the data available with them. Fans get engaged with cricket because of the data analytics tools and knowledge. There are instances where final scores are predicted with the help of data analytics.

How to become a data analyst?

  • A bachelor’s degree in an area that emphasizes statistical and analytical skills, such as math or computer science, is an excellent place to start.
  • Learn how to solve problems by registering for data science courses or a data analytics course.
  • Consider certification.
  • Get your first work as a data analyst at an entry-level position.
  • A master’s degree in data analytics is a great way to advance your career.