Data Science Training Archives

How To Be More Effective in Financial Data Analysis

February 23, 2022

by admin Data Analytics

Financial data analysis is one of the most important things within the accounting profession. There are different key areas that must be understood for a proper analysis to be effectively done. The analyst must understand the financial statement structure, the industry’s economic characteristics, and how the firm sets itself apart from the competition.

Finance and accounting have been valuable assets to different businesses from the very beginning. With them, they bring great value through efficient operations or high revenue. The best technology that offers the most innovative value sources in this area is data analytics. Also, check this Data Analytics Certification to start a career in Data Analytics.

Data analytics is used in the finance and accounting field brings about a great boost in the profitability of any business and the reduction of operating costs.

With analytics, many things can be achieved, such as identifying the spending habits of the consumers and market trends stock prices can be monitored using algorithmic reading. Unstructured data helps with improving the timeliness and broadening the scope. Today, accounting professionals use predictive and advanced analytics to leverage big data. Pursue a career in Data Analytics with the number one training institute 360DigiTMG. Enroll in the Data Analyst Course in Bangalore to start your journey.

Data analytics in finance and accounting

Data analytics has created great opportunities for finance professionals and accountants. They are now in a better position to offer better services in different areas, including:

Automation of tasks that are routine to reduce costs and improve accuracy
Making accurate predictions regarding the future industry and market trends
Getting a deeper and broader perspective on different business operations such as finances

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By understanding data analytics and its application in finance, professionals can become more effective in analyzing financial data. Firms often use advanced techniques to help capitalize on the large amounts of collected data. The main aim is growth and value done by leveraging different technologies. These include:

Cloud storage and computing power: there has been great growth in this area. Datasets can be complex and very large. This is because some services offer scalable processing to meet the demand.
Wide usage of data sources: internet service providers, government sources, mobile apps, and social platforms are widely used. Embedded devices are also available in most places.
There is an existing digital infrastructure that is based on open-source software. Availability of open networks means that data specialists can have an easier time communicating with other experts in other fields like finance and accounting.

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Adopting data technologies

Many financial and accounting service companies use technologies like data analytics even though the implementation rate is still quite uneven.

Understanding the new technologies is bound to transform the industry. This is because the finance and accounting fields are slowly being reinvented.

Changes are quite clear in business services and hiring practices. In turn, it has become possible for professionals in finance and accounts to expand services to improve the services offered. The approach of this industry on emerging technicities like artificial intelligence and analytics is also quite clear.

Financial data analysis is becoming a big deal in all industries, and therefore, businesses need to embrace it. To be more effective in financial analytics, it is important to learn more about data analytics. The field needs to be prepared for analytics and other upcoming technologies.

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Data Science Training, Data Science – Machine Learning With Python

February 17, 2022

by admin Data Science

How is Python Valuable for Machine Learning and Data Science?

Python refers to a high-level, open-sourced, and interpreted programming language. It offers a suitable and desirable functionality to handle statistics, scientific functions, and mathematics. In addition to that, data science training it provides a constructive and favorable approach for all sorts and kinds of object-oriented programming. Overall, Python is an easy-to-learn language that almost all people can understand and grasp effortlessly and quickly.

Python offers a comprehensive set of beneficial libraries to handle and operate the various applications related to data science. On top of that, it has an undemanding use. It can get owed to the unsophisticated syntax it applies. It makes it easier to read the language and adapt to it. It stands true even for those who do not have an engineering background. Looking forward to becoming a Data Scientist? Check out the Data Scientist Course and get certified today.

In other words, an individual can learn Python at any time. Also, they can use it in any application. For that reason, the language can get used in various research and scientific communities. On top of that, it is popular among numerous people all across the globe.

Python is suited to quick prototyping actions. In addition to that, it is exceedingly versatile and productive. It can get owed to the scientific packages and Application Programming Interface (API) with which it remains associated. It makes it possible to employ the required changes in the language and upgrade its frameworks and systems. Furthermore, Python allows for an effortless data cleaning that proves highly advantageous for machine learning applications. Also, check this Data Science Certification Course in Bangalore to start a career in Data Science.

Python offers the required level and extent of job and network security. On top of that, it makes the processes and tasks of algorithm creation for fraud detection effortless. Sentiment analysis and natural language processing (NLP) also receive a significant boost with the help of Python. It can get owed to the substantial library collections it provides. They help solve complicated and complex problems associated with businesses and companies. Moreover, it helps develop data applications and systems. Become a Data Scientist with 360DigiTMG Data Science in Chennai. Get trained by the alumni from IIT, IIM, and ISB.

What Does Python Relate to Machine Learning Entail?

Python covers a broad scope that allows it to touch upon numerous sectors, industries, and fields. That is why a colossal number of people remain interested and invested in it. Thus, several courses teach Python related to machine learning and data science. In general cases, such lessons entail the following:

Translation of everyday and common business questions and various complex problems into simple machine learning applications and tasks to make data-driven assessments and decisions
Training of a classifier using various algorithm techniques from different libraries
Discovery underlying customer behaviors and building a Recommendation Engine depending on the patterns
Re-segmentation customer market for an improved and enhanced alignment of services and products according to customer needs and preferences
Development of predictive revenue models and other numeric parameters and variables
Investigation of flows and relationships between business entities and the relevant target audience or customer base
Use of Python Pandas to explore, visualize, and analyze data from various sources for trends and patterns associated with the business.

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360DigiTMG – Data Analytics, Data Science Course Training Hyderabad

2-56/2/19, 3rd floor, Vijaya Towers, near Meridian School, Ayyappa Society Rd, Madhapur, Hyderabad, Telangana 500081.
Phone: 1800-212-654321
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Data science in today’s world

February 4, 2022

by admin Data Science

It is a universal truth that big data is running the world. Almost all business companies have become data-centric, which means they use it to simplify their consistent methods. There is a lot of importance to data analysis and data processing. This data processing and analysis is where data science stands.

It is a stream where knowledge is gained from enormous data bytes using scientific procedures, approaches, algorithms, and structure. Data statistics, mining, analysis of predictions, etc., are various branches of data science. It uses many subjects like mathematics, computer science, statistics, information sciences, and technologies like machine learning, data engineering, pattern recognition, signal processing, etc.

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Reasons behind the increasing importance of data science

Companies can use the data according to their sector or field they are operating in. It is a compilation of many subjects, so it is vital for various industries. The following are some reasons why companies are using it for their growth and development.

Understanding their customers and building better products

Clients are the core of a business and play a crucial role in a business’s success and failure. Data science enhances the companies to understand the client more in a modified way. Data science has techniques that can explore the market, compare the company with other competitive companies, read the history of customers, and finally make better suggestions. By considering and analyzing the recommendations, the firm will build better-quality products, which will further improve its rating. Also, check this Data Science Course in Hyderabad with placements to start a career in Data Science.

Solving problems and canceling the risks

Business intelligence has become a powerful field after collaborating with data science. With the increase in data availability, businesses are hiring data scientists to handle the data and ease the decision-making procedure. Data scientists are supposed to inspect and evaluate the nature of data, understand the condition and type of the problem, and then use the correct algorithm to solve it.

Predictions are always risky decisions to make. With it, many possibilities are predicted by putting the available data together through statistics and logics of data science. The firm can consider all the probabilities and make a suitable decision, thereby decreasing their chances of risk and damage. Statistical analysis is another term used for this process of detecting possibilities. Become a Data Scientist with 360DigiTMG Data Science course in Pune. Get trained by the alumni from IIT, IIM, and ISB.

Recruiting and training

Recruiting staff is always a tiring and lengthy process, but data science helps in easing the process. Companies can use screenings through the employees’ resumes and applications. The firm can filter the candidates by selecting the candidates who have the most required qualities for the company. With image recognition, converting the visual information on the resume into digital data will be possible.

It is also necessary to keep the working staff up-to-date and informed. Targeting every employee and analyzing their strengths and weaknesses will be effortless with it. Training the employees on their flaws and teaching them new cutting-edge technologies would be an asset to the company. Want to learn more about data science? Enroll in the Data Science Training in Chennai to do so.

Conclusion

Data is a huge asset where you can invest your time and money. It is also worth the investment. From protecting your company to knowing your customers personally, from building new innovative products to recognizing when and where to publicize the product, the data helps in every aspect.

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Phone : +919989994319
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UNDERSTANDING COVID-19 WITH DATA SCIENCE

February 2, 2022

by admin Data Science

When we discuss COVID-19 with data science, the first thing that comes to mind is the role of health workers who lead from the front. Data scientists are working from home and not contributing to helping humanity out of this crisis during such times. But is this statement true? To answer this, we must know that wherever there is data, we need data scientists.

DATA AND COVID-19

We might or might not sense it, but data is everywhere. Everything we see, search, shop, or buy is a part of a large dataset. This dataset is being used to analyze various trends and behaviors. The COVID-19 pandemic is generating lots and lots of data. This data is being gathered and analyzed to understand its spread and develop a preventive mechanism or even a permanent solution. Also, this data is being used to study the entire pandemic’s lifecycle. Looking forward to becoming a Data Scientist? Check out the Data Science Course with Placement and get certified today.

DETECTION

Many undergoing projects use Artificial Intelligence (AI), using deep learning and machine learning algorithms to analyze big data collected from thousands of sources to specialize in Infectious disease surveillance. Currently, there is no standard method for detecting COVID-19. Though CT is being used for the same purpose, it gives a similar result for COVID-19 and other kinds of respiratory diseases. But researchers do believe that AI can be used to upgrade chest imaging to give a much more clean and more reliable output to differentiate between the symptoms of COVID-19 and pneumonia. Also, check this Data Science Training and Placement in Bangalore to start a career in Data Science.

SPREAD

Along with detection, data analytics can also be used to study the spread of diseases. For example, BlueDot, a Toronto start-up, uses airline ticketing data to predict the spread from one city to another. In India, Arogya Setu mobile application uses location statistics to analyze the spread. It gives a warning to the user when they come in the range of an infected person. It also helps the local health authorities to detect the location of all the people at high risk. Become a Data Scientist with 360DigiTMG Data Science Colleges in Pune. Get trained by the alumni from IIT, IIM, and ISB.

MANAGING THE SITUATION

After the outbreak, the public health authorities can use AI-driven applications to control the pandemic. As advised by every national and international health organization, social distancing is the most effective way to break the chain, but let’s not forget that human beings are social beings. Maintaining distance is hard in populated countries like India. These days, thermal and face detection security cameras are installed in public places to warn whenever there is less than a 6-foot distance between people. Robots tend to patients when there are high chances of getting infected. Drones are used in containment zones to supply daily necessities such as groceries, toiletries, masks, etc. Want to learn more about data science? Enroll in the Best Data Science Training in Hyderabad to do so.

RECOVERY

The last and most important step in recovery. Recovery is not only required for the pandemic but also for economics. Both medical and economic recovery is based on data science. For medical recovery, a vaccine is required that can be made only when we have an adequate amount of data about the disease. Data about the disease includes its symptoms, what age group it has affected the most, the recovery rate, the fatality rate, the recovery time, etc. For economic recovery, information is required to understand what class of society was affected the most, how many people were affected, etc. Data science can help the decision-making body take the necessary actions.

CONCLUSION

Data science plays a key role in understanding and managing the situation during the COVID-19 pandemic. Though the situation came as a surprise, we have handled it with much more ease than any other past pandemic with the help of data science.

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360DigiTMG – Data Analytics, Data Science Course Training Hyderabad

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Important Areas And Components Of Data Science Field

January 21, 2022

by admin Data Science

When it comes to data scientists, half the tech professionals are eager to learn it. Why shouldn’t they be excited? After all, a data scientist is regarded as the sexiest job title of current times. Some say that data science is all about playing with data, turning them into understandable numbers and graphs. But, it is not that easy when one goes into detail. The data science field has various components, which makes it more complex. These components complete data science as a field of study. They need to work together to make a data science project a success. Here are areas of data science that every aspiring data scientist need to focus on:

Database management

Without data, there cannot be any data science. As the data and its structure are changing rapidly, the way to collect them, store them, and maintain them should keep updating as well. This is exactly what makes database management imperative to every business. Database management is useful in marinating data and ensuring that the data experts get the required data easily, without much hassle. Are you looking to become a Data Scientist? Go through 360DigiTMG’s PG Diploma in Data Science and Artificial Intelligence!

Data mining

Data mining is all about finding patterns hidden in the data. These patterns will help the business to make strategic decisions and understand the market better. Under this, the data is mined and given structures that will help in finding meaningful insights. These meaningful insights can be used to make decisions, curb risk and solve various problems. Also, check these Data Science Course fees in Chennai to start a career in Data Science

Machine learning

This is another component of data science, which is helping largely in predictive analytics. In machine learning, the algorithms are trained using past data. Now, these algorithms have become useful in predicting the outcomes of various scenarios. Thus one can say that machine learning has become a major part of data science and data analytics.

Data visualization

Simply finding insights from the data structures is never enough. Those who are not data scientists are simply unaware of how to understand these insights. Therefore, to make the data more understandable, data visualizations are used. This makes it easier to communicate the insights to the higher management.

Deep learning

Deep learning is another area that falls in the data science field. Deep learning is all about creating predictive models and is highly useful in predictive analytics. Neural networks are created, which work like the human brain. Data is fed into the neural network. Which then uses the same to predict the results of different situations. Become a Data Scientist with 360DigiTMG Data Science Training in Bangalore. Get trained by the alumni from IIT, IIM, and ISB.

Business intelligence

Data science is capable of helping management to make decisions. Using business intelligence tools, the management can track trends and recognize patterns in the business’s data. This can help in making better decisions with more informed knowledge of the industry and market.

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Cloud computing

Lastly, cloud computing stands to be one of the most required parts of data science these days. As the amount of data collected and used by businesses increases, the infrastructure required to handle such amounts is becoming ineffective. This is where cloud computing comes in. Using cloud applications; businesses can store and manage data easily without investing in heavy infrastructure.

As data science is prevalent in all industries, the number of job opportunities is growing rapidly. Even today, there is a significant gap between the demand and supply of manpower in data science. This is the right time to be part of the Data Science Training to get complete theoretical and practical knowledge and industrial exposure for a brighter future.

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1800 212 654 321

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IoT –Connecting Machine with Machine

August 3, 2021

by admin Data Science

IoT stands for Internet of Things which connects machines/devices with other machines/devices, though the medium of connecting them is the internet; moreover, it reduces the involvement of humans with machines or humans with humans to analyze something and take the record on a daily basis and most importantly, it is a wireless system. Looking forward to becoming a Data Scientist? Check out the Data Science Online Course and get certified today.

IoT in today’s world is being implemented in almost every electronic and mechanical device, although it is being used for the infrastructures too widely. A few examples of IoT are microwaves, cars, home security, fitness bands, and devices, etc. Here’s a common example- most people in the world are fond of using fitness bands that can be connected with their smartphones and they are able to get the details about their heart rate, steps walked, calories burned, and many more other features. For some of the people, it might seem to be magical but the concept behind it is IoT. There are many sensors built into the device that collects all the data from the heart rate through your blood flow and provides you the information in an understandable format. The science behind it is very complex but you have a great experience using a fitness band and that’s what IoT does. Also, check out this Data Science course in Pune with a placement guarantee to start a career in Data Science.

Applications of Internet of Things

IoT is being adopted in almost every sector and gradually the demand of it is increasing too. So, here we are going to acknowledge a few applications of IoT.

Smart Homes: Homes with IoT appliances attract every single person in this world to buy and have experience with it because smart homes provide you the security to your home not only when you are at home, but when you are far from it too. It provides a notification if anyone tries to break into your house. It is designed in such an outstanding way that you will feel extremely comfortable with it.
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Wearables Devices: Devices like smartwatches, fitness bands, etc. are the majorly used products by humans today because it makes them aware of their fitness every day like their heart rate, steps walked, calories burned, blood pressure, etc. because of which more and more users are able to focus more towards their health.
Smart City: The concept of a Smart City is taking a new shape gradually due to the lack of management of population and increasing crises. IoT is being used in water management, traffic management, wastage management, pollution management, etc. to extract the problems faced by common people because of it.
Smart cars: Self-driving cars are the best example of IoT in the coming future and a car has been developed by Google and is being tested.

There are many other sectors where IoT is being used like retail, supply chain, farming, etc. and IoT graduates will be in huge demand. So, choosing a career in IoT will bring an amazing change in your life. Do not waste valuable time-give your imagination a new pathway in developing more of this world.

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How Should I Start Learning Data Science the Right Way?

July 31, 2021

by admin Data Science

Data science is the mastery of all aspects of statistics, mathematics, business joints, and algorithms. It is the amalgamation of the past, the present, and the future. It’s a machine science that helps decipher hidden patterns and modules from unformulated or raw data into a more structured form to help make decisions that will have a massive impact on the output levels of a business, whether it’s large or small. This tool can be used from the present time to look back into a formidable past and join the dots to the current dimensions of time to predict and formulate a possible future. Looking forward to becoming a Data Scientist? Check out the Data Science Certification and get certified today.

Since it’s a combination of all kinds of statistics, tools, and business analytics, it deals with the prediction from the data scientist to have a deep knowledge of all types of information involved in these fields. The data presented is both structured and unstructured. As mentioned above, it is the analysis of all these kinds of raw data from the past to the future; the reader sees the predictive analysis. The evidence of the history used to predict a possible future is what data science is about.

With the amount of data being generated every day by an individual to a large corporation, it has become a necessity for all companies to have data analytics read and calculated every day, every moment. Since it is highly in demand for all companies to have a data scientist, whether in finance, marketing, or IT, all are demanding enough to have a data scientist under them, so this particular job has been labeled as the most ‘looked-after job in the coming days, and it’s an option that is open to a lot of people from any background to get into this field. Become a Data Scientist with 360DigiTMG Data Science Training institute in Hyderabad. Get trained by the alumni from IIT, IIM, and ISB.

There are three different types of components in data science, namely:

Machine learning that deals with algorithms and data to advance the machine by using the past data to formulate a possible and advanced outcome of a possible future, months in advance.

Big Data or the ‘unstructured’ data produced by individuals every day in the form of photos, messages, or videos that are not structured in form, so a data scientist is basically there to arrange this data more flowing manner. Want to learn more about data science? Enroll in the Data Science Course fees in Chennai to do so.

Knowledge about business and the use of formulated data to be presented in graphs and models for research purposes so that the future decisions made by a company can be equally fruitful to them and their clients.

The world is a ‘global village’ that is connected by an invisible thread of data exchange and social media that travel around because these data scientists are there to formulate and structure them so that the world wide web can work smoothly and the companies can benefit and then create new incentives and ideas for the coming future and the public. Earn yourself a promising career in data science by enrolling in the Data Scientist Course in Pune offered by 360DigiTMG.

The skills required for this field are data visualization, python coding, AI-based programming, and business learning. These are the basic skills required for being a data analyst and other specializations that can be obtained while studying and practicing.

One of the most important aspects of data science is curiosity, the idea of gaining more knowledge about data levelling and preparing data. Since it’s an ever-evolving field of knowledge, a data analyst must be able to ask and dig deeper into the art of it. Other than this, knowledge about business acumen is also much needed since it helps the data scientist to generate more useful data for the company that employs them.

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Address: No 23, 2nd Floor, 9th Main Rd, 22nd Cross Rd, 7th Sector, HSR Layout, Bengaluru, Karnataka 560102
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The Importance of Marketing Analytics and Data Science

July 29, 2021

by admin Data Analytics

The Formula for Better Marketing using Data Science and Marketing Analytics

Data science and marketing analytics are essential for gaining a better knowledge of your target audience, and what motivates them to buy so you can create and implement effective marketing campaigns. By utilizing big data, these tools enable marketing professionals to obtain significant insights into customer behavior.

Marketing analytics isn’t a brand-new concept. However, how we obtain the data for such analytics has evolved significantly over time. Marketers used to construct their customer profiles and marketing plans using basic sales data and rudimentary data. They primarily evaluated data by hand, inferring all sorts of assumptions from the finest, if limited, data they had. There was no such thing as data science back then. Are you looking to become a Data Scientist? Go through 360DigiTMG’s PG Diploma in Data Science and Artificial Intelligence!

We now have web analytics, predictive analytics, artificial intelligence, and machine learning not just to access enormous data, but also crunch it for us in ways we could never have imagined a decade ago. These technologies assist marketers in saving time and money while creating more effective marketing campaigns that target the right people at the right time and through the appropriate channels.

Campaigns on the Internet

According to the Digital Marketing Institute, digital marketing has permanently transformed a company because of its capacity to enable rapid contact and long-term closeness with clients through customization. While data science and marketing analytics enable businesses to reach out to customers in new ways, they also generate a tremendous quantity of data that must be sifted through for the nuggets that matter — and those details and how they may be utilized, are always changing. Want to learn more about data science? Enroll in the Data Scientist Course in Bangalore to do so.

It’s less about the amount of data you have and more about the quality of that data to what you want to do with it for a digital campaign to be effective. Before you can link your marketing strategy and intended results with your overall company objectives, you must first determine which metrics are critical to assess, those that matter to the business, and justify marketing expenditure.

Micro-targeting and Micro-segmentation

According to Forrester, 80% of online shoppers in the United States are comfortable giving personal information to tailor their shopping experience. The signals that govern customization are discovered by bringing that data together and improving it via analysis.”Earn yourself a promising career in data science by enrolling in the Data Science Online Training in Hyderabad offered by 360DigiTMG.

Validation of Success

Tracking, measuring, and analyzing your marketing activity throughout your portfolio is the most efficient method to maximize ROI. You must know if your strategy and execution are on target to pivot if and when necessary. You’ll need marketing analytics to execute this correctly.

You’ll need to justify continued investment in your marketing activities, and to do so, you’ll require measurement data to demonstrate your performance. Data science provides insights that are linked to marketing outcomes. Even if these indicators lead to failure on some level, you must be able to recognize when to cut your losses and move on to higher-value initiatives. By doing so, you demonstrate the value of marketing to the business and offer management confidence that you have the processes to keep your department’s spending under control as you continue to focus efforts and spend on projects that provide value to the company. Also, check out this Data Science Training in Pune to start a career in Data Science.

Businesses that are creative win. Running the same sorts of advertisements as everyone else will not attract, engage, or convert customers. It does not distinguish a brand. With so much big data now available, marketers must figure out how to utilize it to their advantage if they want to stand out. Real-time experimentation is the only method to test ideas without committing resources. According to HBR, A/B testing is a “strong tool for marketers to acquire insights into the impact of prospective modifications on distinct client categories and marketplaces.”

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What is enumerate in Python

July 20, 2021

by admin Data Science

Any sequence in every programming language contains indices. An index is a value that indicates the position of a particular element in the sequence. We will encounter many situations in which we have to do the task with the help of these indices.

Then how can we find the location and corresponding element as well in a sequence? There is one method specially designed for this purpose in python which is “enumerate”. If we call this method upon any sequence, it returns index/location and the value/element present in that location. So whenever we call this enumerate function, it will return 2 values, one is an index of the element, and the other is the value of that element. Want to learn more about data science? Enroll in the Data Science institute in Chennai to do so.

Let’s find productivity of this function through the code:

list1=[‘a’,’ b’, ’c’, ’d’]

for loc,value in enumerate(list1):

print(loc,value)

What output will get is…

0 a

1 b

2 c

3 d

(0,1,2,3) are the locations/indices and (a,b,c,d) are the actual elements in those positions. In Python, the index starts from 0 always. Ok, is there any alternative to change my starting index..? Yes, you can. “enumerate” will do it for you. Earn yourself a promising career in data science by enrolling in the Data Science Classes in Hyderabad offered by 360DigiTMG.

list1=[‘a’,’ b’, ’c’, ’d’]

for loc,value in enumerate(list1,start=1):

print(loc,value)

1 a

2 b

3 c

4 d

See, now the indices are (1,2,3,4) for the same elements. ‘start’ parameter of enumerate method will do this help for us.

We know, the set is a data type in Python which is unordered and not accessible. The position of elements in the set is not ordered, unlike lists/tuples. Looking forward to becoming a Data Scientist? Check out the Data Science Syllabus and get certified today.

Then how can we know which position contains which element? ‘enumerate’ is the easy option.

set1={‘a’,’ b’,’ c’,’ d’,’e’,’f’, ’i’}

for i,j in enumerate(set1,start=1):

print(i,j)

1 i

2 a

3 f

4 b

5 e

6 d

7 c

Look at the output, what you observed? The elements are randomly distributed. The locations are not the same at the time of their creation. We created {a,b,c,d,e,f,i} but now they are {i,a,f,b,e,d,c} . They are shuffled right. Also, check out these Data Science Course fees in Bangalore to start a career in Data Science.

What would be the case if applied on a dictionary as it contains key-value pairs? If enumerate a dictionary, then we will get indices of” keys” and names of those keys

d={‘a’:1, ’b’:2,’ c’:3}

for i,j in enumerate(d):

print(i,j)

0 a

1 b

2 c

(a,b,c) are the keys and (0,1,2) are their indices..

Finally, we got an idea about the enumerate() method in Python and its capabilities.

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An Introduction to Data Science: A Beginner’s Guide

July 20, 2021

by admin with No Comment Data Analytics

Data Science can be seen as the most demanded and emerging field in today’s times. It is almost prevalent in every field and considered to be an essential component in every aspect.

The task of data science or the work related to it is not simple at all; rather, it is highly difficult and greatly complex in every way. The data that needs to be broken is not simply resolved but has many layers added to it, and those layers need to be broken one by one to solve the problem. Are you looking to become a Data Scientist? Go through 360DigiTMG’s PG Diploma in Data Science and Artificial Intelligence!

The data science world is primarily founded based on the three most fundamental and essential components. These components are mathematics, programming, and statistics.

Data science is everywhere. It has made its way into almost every work sector, whether business, medicine, education, or even social media. Individuals who have a great deal of interest and knowledge in the data sciences field are known as data scientists.

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Why is there a need for data science?

The era in which we are living today works based on data-driven knowledge and answers. Without this data, nothing would be operational and moving. The traditional era of things working somehow without advanced technology has surely passed, and now we cannot even think of making a single development without breaking or resolving the data around us.

Furthermore, every field mentioned above needs to be updated and familiar with the concepts and technology of today. Thus, if data science was not here, the world would have lagged in a way we would not like to imagine. Earn yourself a promising career in data science by enrolling in the Best institute for Data Science in Bangalore offered by 360DigiTMG.

Let us see the scope of data science in various sectors.

Business

Businesses need the advantage of data to understand customer behavior and choices. Data sciences help a business to grow to certain heights.

Data in a business holds the core position. It enables a business to judge its current performance and make the best possible decisions for the future. Hence, the decision-making aspect of a business is also improved. Moreover, if the decision-making power of a business is good, then profit and productiveness would surely come with it.

Data science helps a business to break down the data into simpler parts and give outstanding resolutions. It also helps a business to make considerable predictions and take careful steps accordingly. Also, check out this Best Data Science Training institute in Chennai to start a career in Data Science.

Social Media

When people open up a website or even an Instagram page or post, they tend to either comment on it or react to it in a particular way. Data sciences capture these happenings and, with the help of various programs and statistics, enables the main authority to understand the content of interest or the product of interest. It is highly useful to understand the customer and user preferences.

We hope that this article answered some of your valuable questions related to data and its importance. This field has high scope in today’s time, proving to be more demanding in the near future.

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Navigate to:

360DigiTMG – Data Science, Data Scientist Course Training in Bangalore

No 23, 2nd Floor, 9th Main Rd, 22nd Cross Rd, 7th Sector, HSR Layout, Bengaluru, Karnataka 560102
1800212654321

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