What is Python?
It is a high-level programming language that consists of a very simple syntax to understand. It was created in the early 1990s in the Netherlands and is considered a relatively young project compared to other languages, such as Pascal, Fortran and Java. On the other hand, Python is characterized by having some characteristics of languages that precede it. Regarding the latter, I can mention as an example the ways in which a certain value is printed either through patterns or with the concatenation of elements. Our python online training in Bangalore was specially designed for those who are keen to learn the python course from Scratch to Advanced level. AdvantageThe main advantages of this language are the following:
DisadvantagesAlthough it has numerous advantages, it is important that you know its disadvantages:
Prwatech is the leading online training courses for python Offering Best Python training courses with our Qualified Industry Certified Experts.
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What is Data Science? As we have seen on other occasions, Data Science is a field that encompasses cleaning, preparing, and analyzing data. Data Science is a general term in which many scientific methods are applied. For example, math, statistics, and many other tools those scientists apply to data sets. The scientist applies the tools to extract knowledge from the data. Learn data science program from Prwatech data science training institutes in Bangalore at advanced level.
In artificial intelligence and machine learning, the data scientist has a big role to play. For the data scientist, knowledge of machine learning is imperative. Machine learning is the most impressive development in the world of technology. What is Data Analytics? Data Analytics is the science of getting ideas from raw information sources. Reveal trends and metrics. Otherwise, the data may lose in the mass of information. They use information to increase the efficiency of a business system. To verify and refute existing theories or models. It is also used in many industries to allow organizations to make better decisions. Difference between both concepts A Data Scientist differs from a Data Analyst in several ways. The first of these is its function: a Data Scientist predicts the future from past patterns. The Data Analyst, on the contrary, extracts significant information from them. From that future to be predicted, the Data Scientist asks himself questions. The Data Analyst, on the contrary, is in charge of answering them. Furthermore, the Data Scientist extracts information from various sources, while the analyst only from one. Regarding its field of application, a Data Analyst addresses only and exclusively business problems. The Data Scientist, on the other hand, acts beyond this field. As for his tools, a Data Scientist uses Machine learning to extract information. Data Analyst uses programming languages (R, Python ...) to extract information. Differences according to their professional work Responsibilities of a Data Scientist. Ø Cleaning and data processing. Ø Prediction of the business problem. Their roles are to give future results of that business. Ø Develop machine learning models and analytical methods. Ø Find new business questions that can then add value to the business. Ø Data Mining using the latest generation methods. Ø Present results clearly and do the ad-hoc analysis. Responsibilities of a Data Analyst. Ø Identify any data quality problems in data acquisition. Ø Solving business problems. Ø By mapping and then tracking the data. Ø A data analyst must coordinate with engineers to collect new data. Ø Perform a statistical analysis of business data. Ø Document the types and structure of business data. Differences in your skills Ø Skills of a Data Scientist: Data creative, data developers, data researchers, data entrepreneurs. Ø Data Analyst skills: Database administrators, operations, data architects, and data analysts. The difference between the two has become clear. A data analyst focuses on more specific and less extensive tasks. A Data Scientist, on the other hand, has more responsibilities and more varied knowledge. If you want to study Data Science we recommend you sign up for our specialized master. In it you will become a professional in the sector. We wait for you here! Prwatech is the leading Data science training in btm Offering Data Science certification courses with our Qualified Industry Certified Experts. Our Data Science training institute in Bangalore was specially designed for those who are keen to learn the Data Science course from Scratch to Advanced level. Big Data is a term that describes the large volume of data that is generated continuously. In any case, the most important thing is not the quantity, but what companies can do with this tidal wave of information. Are you also dreaming to become to certified Pro Developer, then stop just dreaming get your Hadoop certification course from India’s Leading Hadoop Training institute.
Advantages of applying Big Data in companies 1. Improved decision-making. Through data analysis, decision making in the organization is improved. It is about reducing risks by studying information from customers, employees or that generated by sensors located in products. In this way, it is possible to arrive at intelligent decisions in an agile way and with the maximum probability of success. 2. Improvement in efficiency and cost optimization. Big Data analysis can accelerate the speed with which a product is developed. The company manages huge data that, exploited with a Big Data analytics program for the industry, shortens development. This translates into a reduction in costs, and, therefore, great benefits for the company. 3. Customer segmentation. Businesses can target products and services to meet the specific needs and wants of consumers. Thanks to Big Data, it is possible to use all the data about the clients that the organization has to develop personalized marketing. Likewise, the development of products and services or customer service also gains in efficiency with a correct exploitation of the data. 4. Data security. Thanks to Big Data, you can keep a fast and effective control of the organization's data ecosystem to identify potential internal threats. In addition, it is possible to detect if there is sensitive information that is not adequately protected. 5. Improving the accessibility of information within the company. By digitizing the data and enabling tools that facilitate the search for information, a more fluid work dynamic is generated. Which translates into greater benefits for the company. 6. New sources of income. The information obtained from Big Data analysis can be marketed as trend data to other companies interested in extracting its value. In this way, a new way of income is opened. 7. Competitive advantages. Data extraction and analysis helps to determine customer behavior, and to set prices accordingly. As a result, Big Data allows, for example, to update, optimize and refine inventories based on demand in real time. Prwatech is the leading institute for big data training in btm Offering Best Python training courses with our Qualified Industry Certified Experts. Our big data training institute in bangalore was specially designed for those who are keen to learn the python course from Scratch to Advanced level. Data Science is the science focused on the study of data. It is responsible for extracting information from large amounts of data. Data Science combines statistics, mathematics, and computing to interpret data. The goal is to make decisions. Learn data science program from Prwatech data science training institutes in Bangalore at advanced level.
This data is obtained through different channels. Mobile phones, social networks, e-commerce or surveys are just some of the sources used. Our tastes, routines or movements generate data of great value for companies that want to know their customers in detail. However, the interpretation of unstructured data does not add value to companies. Hence the need for data scientists on their teams. Thanks to Data Science, companies can anticipate when making decisions. Where does the term Data Science come from? The term 'Data Science' has been around for the past three decades. But it was not until the 1970s that the term began to be used to define data processing methods. Finally, 2001 was the year that data science was introduced as an independent discipline. Is Data Science the same as Big Data? When we talk about Big Data we are referring to large volume data sets. This makes it difficult to store, manage, process and analyze it using conventional technologies and tools. In short, Big Data is responsible for solving data management and storage problems. This allows you to draw patterns and get a more complete view of customers. Prwatech is the leading Training institute for data science training in Bangalore Offering Data Science certification courses in bangalore with our Qualified Industry Certified Experts. Our python training institute in bangalore was specially designed for those who are keen to learn the python course from Scratch to Advanced level. Key concepts in Data Science There are a series of basic concepts that form data science and that we will briefly explain below. Data mining Data Mining is defined as a process used to collect and store useful data. This requires analyzing data patterns in large batches using one or more software. Thanks to this process, companies can obtain more information about their clients and develop more effective strategies. This helps them make better decisions based on information. To segment the data and evaluate it, Data Mining uses mathematical algorithms. Deep learning The goal of Deep Learning is to solve problems through neural networks that mimic brain behavior. These networks of artificial neurons are structured in layers. The first layer is where the information is captured. These data go to the next layer, in charge of performing calculations. And finally, the information collected is projected on the last of the layers. Some of the most used applications in Deep Learning are word processing and image, object or voice recognition. Machine learning First of all, it must be emphasized that Machine Learning is not synonymous with artificial intelligence. Rather, it is a concept framed within it. Fundamentally, Machine Learning is responsible for educating technology to correct mistakes on its own. It relies on prediction and classification of data to obtain useful information applicable to different areas. Artificial intelligence (AI) It is based on algorithms used to create machines that imitate human behavior. Today, emotional intelligence is applied in facial recognition or in the creation of chatbots, among others. What is Apache Spark?
Apache Spark is today one of the most influential and important technologies in the world of Big Data. It is an open cluster computing system, ultra-fast, unified analysis engine for Big Data and Machine Learning. Since its launch, Apache Spark has been quickly adopted by companies in a wide range of industries. It has quickly become the largest open source community in big data, with more than 1,000 collaborators from more than 250 technology organizations, making programming more accessible to data scientists. Prwatech is the leading Training institute for apache spark online training Offers apache sparks online courses with our Qualified Industry Certified Experts. APACHE SPARK BENEFITS Speed Spark can be 100 times faster than Hadoop for large-scale data processing by exploiting in-memory computing and other optimizations. It is also fast when data is stored on disk, and currently holds the world record for large-scale disk classification. Easy to use Spark has easy-to-use APIs to operate on large data sets. This includes a collection of over 100 operators to transform data and familiar data frame APIs to manipulate semi-structured data. APIs such as Java, Scala, Phyton and R. It is also known for its ease of use when creating algorithms that acquire all the knowledge of very complex data. A unified engine Spark comes packaged with top-level libraries, including support for SQL queries, data transmission, machine learning, and graphics processing. These standard libraries increase developer productivity and can be seamlessly combined to create complex workflows. Apache Spark consists of: · Spark SQL : Structured and semi-structured data processing module. With this you can transform and carry out operations on RDDs or dataframes. Special for data processing. · Spark Core : Core of the framework. It is the base of libraries where the rest of the modules are supported. · Spark MLLib : It is a very complete library that contains numerous Machine Learning algorithms, both clustering, classification, regression, etc. It allows us, in a friendly way, to be able to use Machine Learning algorithms. · Spark Streaming : It is the one that allows the ingestion of data in real time. If we have a source, for example Kafka or Twitter, with this module we can ingest the data from that source and dump it to a destination. Between data intake and its subsequent dumping, we can have a series of transformations. · Spark Graph : Allows graph processing (DAG). It does not allow to paint graphs, but it allows to create operations with graphs, with their nodes and edges, and to carry out operations. If you want to know more about Big Data & Machine Learning, for your company Schedule a Free Demo so that you see the benefits that you will get together with us. Our apache spark and scala online training was specially designed for those who are keen to learn the python course from Scratch to Advanced level. The possibilities of Big Data are revolutionizing fields as varied as the banking, business, social, healthcare, etc. Big data systems facilitate decision-making and have a number of competitive advantages, although like everything, they are not without some drawbacks.
The application of this big data science requires experts trained in a Prwatech who know in depth its benefits and disadvantages. In this post we describe these advantages and disadvantages of Big Data. Are you also dreaming to become to certified Pro Developer, then stop just dreaming get your Hadoop certification course from India’s Leading Hadoop Training institute. Advantages of Big Data Improved decision making The fact of having a huge volume of structured data that can be interpreted in a short time, helps organizations to be able to make the best decision at all times; for example, applications that are capable of deciding in second the best route on the road from one point to another, analyzing thousands of data such as vehicles, accidents, works, etc. Feedback in real time The interesting thing about Big Data is not the huge amount of data it processes, but that it can be done in real time. It is an agile and fast technology, which allows for example to have real-time feedback on the launch of a product on the market or to know the financial situation of a delinquent client in real time before granting a personal loan. Market knowledge This monitoring allows obtaining the knowledge of consumers and anticipating their needs, as well as detecting market trends and even errors in customer service. For example, marketing, web design and SEO positioning companies find an ally in Big Data. Join and learn in our best Software Training Institutes in Bangalore, BTM Layout. Let's get start your career with Big Data Hadoop Online Training in Bangalore. Technology of the present and the future The advantages of applying Big Data in other more restricted fields such as health and medicine have been beginning for some time. But we have just started; Big Data technology is constantly evolving and will play an even more important role in future decision-making. Disadvantages of Big data Excess data The usefulness of Big Data lies in the ability to quickly extract information from a huge amount of data, but if this data is stored indiscriminately, it only becomes noise that will slow down and hinder tasks. Data analysis professionals must have the ability to discern and select the data and patterns that will be useful. Cybersecurity Security is the biggest challenge today in the Internet age. The vulnerability of stored data is the target of new cyber attacks, not so much because of the sensitivity of the data that is normally public and anonymous, but because of the damage that can be caused. Data protection policies This issue has been in vogue for a few years and it is that consensus and protocols are necessary to establish to what extent this technology could be considered intrusive and how to protect it. As we have commented, most of the data is anonymous, and users agree to its dissemination, but data protection is a delicate issue that we must always take into account. Prwatech is the leading institute for big data training in btm Offering Best Python training courses with our Qualified Industry Certified Experts. Our big data training institute in bangalore was specially designed for those who are keen to learn the python course from Scratch to Advanced level. |
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