Explore the Archives and Discover How Dramatically the Field of Data Science has grown in the Past Decade

Data science has grown to be a data-intensive field in the past decade. In data science, data is king. The data you collect and analyze can help you make decisions to improve your business or solve problems that seem impossible to tackle.

Data scientists are in demand as data becomes more prevalent, data storage gets cheaper, data analysis tools become more sophisticated, and data-driven decisions grow in importance. In this blog post, we explore how data science has grown over the past decade and why data science should be your career choice!

How dramatically has the field of data science grown in the past decade?

The data science industry has grown drastically in the past decade. It is projected to grow by 48% between 2016 and 2026! That’s a huge number – especially when you consider how much data there already was in 2006. This growth has led to increasing demand for data scientists who understand data visualization best practices as well as data science best practices.

Here are some key highlights into the boom of the data science industry:

– Data science is growing at a rate of 13% per year, which is faster than the average growth rate in other fields. This data was from 2017, and it’s only been accelerating since then

– Data scientists are some of the highest-paid professionals around, with an annual median salary of $106,500 according to Glassdoor, as well as self-reported salaries on data science forums

– Data science is a highly valuable skill in the modern economy, which means data scientists are not only making good money but also have jobs that can’t be automated

– As more companies become data-driven and incorporate data into their decision-making processes, it creates new opportunities for employment.

Why is data science such an exciting career choice?

Data science is such an exciting career choice because data scientists are in high demand, and data analysis can be applied to almost any industry. Data scientists are in high demand because companies need individuals who can analyze data and provide insights based on their findings.

Data scientists must be able to work with large amounts of data, often from different sources, then use that information to create business strategies or solve problems by designing algorithms that process data sets in a way that improves efficiency or effectiveness. Individuals interested in this field should consider taking data science courses with placement.

Learning data science enables students to have an in-depth understanding of data science and data analysis, as well as the tools that data scientists use. It is also a very practical course when it comes to finding employment upon graduation as it enables students to practically use the skills that they have learned in their course.

Gain career excellence as a data scientist with Imarticus Learning!

Imarticus Learning is a leading institute in India offering a data scientist certification with placements. The demand for data science specialists is increasing rapidly, and many enterprises are hiring data scientists to manage their internal operations like finance, marketing, etc., or to gain new insights from the data collected.

Data Science online trainingThis data science online training is designed by industry experts that enable you with the required skills and knowledge for a data-driven career.

For more insight, connect with us through the Live Chat Support system or visit any of our training centers based in – Chennai, Mumbai, Thane, Pune, Bengaluru Hyderabad, Delhi, and Gurgaon

How an Artificial Intelligence and Data Science Work For an Online Conference?

Artificial Intelligence and data science are the driving force behind most of the online conference tools available now. The more advanced the AI used, the better its experience is for the users. The advancement enables the user to have a more personalized and better quality video feed and experience.

Artificial intelligence and video conferencing

Already there is the option to replace and blur the background as per convenience. The use of Artificial Intelligence and data science in this arena is much more than that. Background manipulation is only the tip of the huge iceberg.

There are other features such as translation for those who are not familiar with the language spoken and it works either way when implemented properly. There is another possibility of transcribing the same to make it easier to understand.

The noise reduction in the background comes as another advantage where there could be distractions, especially when it is working from home scenarios.

All of these features make online conferencing more convenient and comfortable which is crucial at the moment. As work from home is becoming more normal than ever and online conferencing is the big ‘thing’ now, it needs all inputs from the Artificial Intelligence industry to make it simpler.

How data science comes into the picture?

Although Artificial Intelligence and data science sound similar, they are two sides of the same coin. While AI is the major force behind online conferencing, data science is no less important.

Data science comes in handy when the employee’s data needs to be analyzed. For eg, in order to find the ideal time for a conference, the log in log out time of the employees would be useful. By analyzing this data, a more appropriate time could be deduced where there is a possibility of maximum participation.

The chatbots powered by Artificial Intelligence could also need the backup of data science to implement it more effectively. It helps to communicate with multiple users at the same time and reduces the call time for both sides.

Amazon has implemented these chatbots and has found success with the same. The users have also expressed satisfaction when it comes to minor issues which do not usually need waiting in line to talk to customer care. This is a perfect example of AI and data science in use.

Learn Artificial Intelligence and data science

AI and data science are raising the bar with their advancements and specializations. Its popularity and demand are at an all-time high with numerous job opportunities in both fields.

People are queuing up to enroll in an Artificial Intelligence course at any cost. Specializing in this area is fruitful for the professionals and newcomers equally.

Artificial Intelligence and Data ScienceStarting a data science career may have been difficult in the past but it is a golden opportunity for all right now. Unlike Artificial Intelligence, data science is more beneficial for working professionals to maintain and advance in their careers. It helps them climb the corporate ladder a lot easier than ever. Moreover, there are multiple branches in data science that one can easily choose the most appropriate for their career.

Wrapping up

Though data science and Artificial Intelligence were present in various aspects of life, the pandemic has made it more familiar for the common man. Online conferences are only one such aspect but the one that has made the maximum impact on everyone. There was a time when such concepts were frowned upon but the increasing use of smartphones and the user-friendly approach of such technology has made it possible to make online conferencing a normal and ordinary household term.

Top 5 data scientists salaries by location in India!

“Data is the new oil” – this quote by Mukesh Ambani perfectly captures the radical shift our world is going through in terms of data collection, processing, and utilization. Thus, in the current context, the job of a data scientist has become dearer to a major chunk of individuals who are actively looking to make radical strides in data science career opportunities.

This is even more prominent in a country like India where a big proportion of the population belongs to the tech-savvy young generation who are actively looking for Artificial Intelligence Trainings to earn decent salaries in the future.

Let us have a look at the top 5 locations in India in terms of salaries paid to data scientists and examine the reasons for the same:

  1. Bangalore – The capital of the state of Karnataka, as well as the start-up and IT capital of the country, has a huge base of young IT professionals working in some of the biggest IT companies of the world.

    This city has been nicknamed the Silicon Valley of India, after the Silicon Valley of the USA which is the biggest tech hub of the world. The average salary of a data scientist is highest in Banglore; around INR 10 lakhs p.a. and it also ranks number one in terms of data science job scope in the entire country.

  2. Chennai – After Bangalore, Chennai is the growing hub of outsourcing data jobs in the country. It has huge IT parks which provide immense opportunities to the emerging techies of the country. The average salary of a data scientist here is a little over INR 9.5 lakhs p.a.
  3. Mumbai – It is the financial capital of the country. Given the scope of IT and data analytics in finances, it is predicted that Mumbai may soon become the largest tech hub of India. Moreover, due to the sheer number of prominent business houses headquartered in this region, Mumbai has the potential to comprise the highest paying jobs for data scientists. Currently, the average salary is around INR 9.1 lakhs p.a.
  4. Hyderabad – Hyderabad is the capital city of the state of Andhra Pradesh and is the emerging hub of tech startups in the country. Big names in the global IT sector industries like Amazon and Google have invested heavily to build the tech infrastructure of this city. Hence, it is quickly emerging as an emerging market of data scientist jobs with an average salary of INR 8.5 lakh p.a.
  5. New Delhi – The capital of India is the fifth-largest city in terms of the average salary paid to data scientists. It has the highest concentration of data scientist talents which has made it a major hub for tech companies in India. The average salary of data scientists at New Delhi is around INR 8.3 lakhs p.a.

In conclusion, it can be said that India has one of the fastest-growing job markets for data scientists in the world. The recent boom of talented young professionals and the growth of BPO and KPOs have contributed to the development of this sector.

How Data Science is Taking Over Mobile Marketing?

How Data Science is Taking Over Mobile Marketing?

Did you know that more than 50% of global web traffic is on mobile? Mobile devices have already taken over the internet; thanks to their ease of access and flexibility. That is why they have become a necessary part of every digital marketer’s strategy.

You might be wondering how mobile marketing and data science have come together and working in sync to gain more traction in the global marketing scene.

The following points will cover how data science improves mobile marketing and why more and more marketers are utilizing this robust skill. Read on…

Use of Data Science in Mobile Marketing

Here is how data insights can improve mobile marketing campaigns, making them much more effective:

Better Targeting

Data science enables marketers to find patterns in large amounts of data. By using data science, marketers can identify unique customer behavior and hence, create better marketing campaigns. It also assists marketers in measuring the impact of their current marketing endeavors through competitive analysis, predictive analysis, and other methods.

Data science training allows marketers to find out what percentage of their targeted audience behaved in what way. For example, they can learn who showed the most interest and who did not express any interest at all. Such data can be useful in optimizing future campaigns.

Chatbots

They are a prominent example of how technology has revolutionized interactions between brands and consumers. Chatbots are automated machines that mimic human conversations. They greet users visiting a website and help them find answers to general queries.

On mobile, chatbots are quite effective as they mimic the behavior one has while texting. Therefore, they make it more comfortable for new users to get familiar with the brand. They also improve the customer service quality of the company. Note that chatbots are AI- and data science-based tools.

More Data, More Insights

A huge aspect of data science is data collection and cleaning. Data scientists can improve the data gathering systems and methods used by an organization and enhance the quality of data used in analytics. They fix missing values, help get rid of overfitting, remove outliers, and prepare the data for the necessary procedures.

This way, the accuracy of their data science implementations remains high. As the quality and quantity of the generated data increases, it would allow the data scientist to gather more insights and enhance their results.

Enhanced Personalization

Data science enables marketers and businesses to offer more personal and special experiences to their users. Many companies are already utilizing data science to offer personalized experiences to their customers. For example, when you use the Amazon app, it recommends the products that match your past history and which have been bought by other users who showed interests similar to yours.

 

How to Become a Data Science Professional?

As you can see, there are many applications of data science in digital marketing. However, digital marketing is not the only field that benefits from the expertise of data scientists. Other industries that rely heavily on talented data science professionals include finance, healthcare, transport, and entertainment.

To pursue a career in data science, you will need to join data science courses. The best data science courses with placement will help you in getting a certification in the domain. Recruiters in this field are always on the lookout for certified professionals. Hence, you would benefit greatly from getting a certification in data science.

the best data science courses with placement in IndiaHowever, in the current time, when there is a contagious virus spreading globally, it would be best to join a data science online course. That is because an online data science course will allow you to study safely from the comfort of your home without going anywhere.

Lockdowns or curfews would not affect your studies and you would not be at the risk of exposing yourself to the virus.

In the nutshell, there are many applications of data science in mobile marketing. The implementation of data science in mobile marketing will only get better with time. Hence, if you are interested in pursuing a career in the data science field, now would be a perfect time. If you want to join a data science online course, then you can go here.

Welcome to the Data Science Club of Imarticus Learning!

Imarticus Learning is among the top online education providers in India. After its data science course helped many data science aspirants to build a successful career in the industry, it has now come with a new campaign i.e. the ‘Data Science Club’. This club will aim at addressing the shortage of data scientists in India. It will also help in unifying data science aspirants from all over the country & giving them a chance to interact.

Data Science CourseYou can bring the data science club to your college/university with just a simple process. They already have registered 30 colleges from locations like Delhi, Tamil Nadu, and Karnataka.

The registration process is open & you can experience a whole new aspect of data science. One can also join the data science community of Imarticus on various social media platforms.

Mission & Vision of the Data Science Club

  • To promote students across India to build a successful career in data science.
  • To address the talent gap in the data science industry & shortage of skilled data scientists in India.
  • To facilitate the exchange of ideas & information relating to data science between club members across PAN India.
  • To provide industry-oriented learning of data science involving technological advancements & tools used in the industry.

Registration Process

Generally, most of the colleges don’t even have a data science club. You could be the first to introduce a data science club at your college/university. You can visit the Imarticus website and can easily register your college/university for the data science club. You will be required to fill a google form asking for a few details like college name, address, department, designation, email address, etc. The Imarticus panel will get back to you and will inform you about further proceedings.

Benefits of Being a Club Member

This data science club will facilitate its members from various colleges across India in understanding the importance of data science. It aims at motivating aspirants for building a successful career in data science and bridging the talent gap in the current data science industry. The benefits of joining the data science club of Imarticus are as follows:

  • Students of member colleges can attend any event/competition under the data science club for free.
  • You will get to attend lectures or webinars from industry experts/professionals.
  • The members of the club will get to test themselves by participating in the national level hackathon.
  • You will get to attend data science workshops under this club. You will also get a certification from Imarticus Learning for being a part of the data science club.
  • The members of the club will also undergo the faculty development programme.
  • Eligible members/students of the club will also get full placement support from Imarticus.
  • You will get to know about the industry practices & trends by being a member of this club. You will also get to know about the right career roadmap in the data science industry.

If you want to make a transition from data science aspirant to an expert, you have to grab this wonderful opportunity which will bring you closer to the data science community in India. One can also opt for the data science course provided by Imarticus Learning to know about the data science aspects in detail.

Register for the data science club now!

All You Need to Know About Skills Needed to Endorse a Career as DATA SCIENTIST!

Data works as a new-age catalyst and is the reason why organizations function. In recent years, data has enjoyed prominence in every possible industry. There no doubt that a job in Data Science is a dream for many. But what is it that you need to do to land there?

This Blog typically talks about what Data Science is and the skills you need to be a Data Scientist. Keep Reading!

What is Data Science?

Data Science is a complex blend of various algorithms, tools, and machine learning principles. The aim is to discover hidden patterns from raw data. In other words, data science filters the data to extract information and draw meaningful insights from it. This takes into account both structured and unstructured data.

Data Science is deployed to make decisions and predictions using predictive causal analytics, prescriptive analytics, and machine learning.

What data scientists do?

Data scientists crack complex data problems through their expertise in specific scientific disciplines. They work with elements related to statistics, mathematics, computer science, etc. Data scientists use technology to find solutions and reach conclusions and suggestions for an organization’s growth and development. Data Scientists are the most necessary assets in new-age organizations.

What are the requirements to become a data analyst?

  • Programming Languages (R/SAS): Proficiency in one language and working knowledge of others is a must.
  • Creative and Analytical Thinking: A good analyst should be curious and creative. Having a critical and analytical approach is another attribute.
  • Strong and Effective Communication: Must be capable of clearly communicate findings.
  • Data Warehousing: Data analysts must know connecting databases from multiple sources to create a data warehouse and manage it.
  • SQL Databases: Data analysts must possess the knowledge to manage relational databases like SQL databases with other structured data.
  • Data Mining, Cleaning, and Munging: Data analysts must be proficient in using tools to gather unstructured data, clean and process it through programming.
  • Machine Learning: Machine learning skills for data analysts are incredibly valuable to possess.

How to become a data analyst?

If you wish to make a career in Data Science, here are the steps you must consider following:

Earn a bachelor’s degree in any discipline with an emphasis on statistical and analytical skills.

Learn essential data analytics skills (listed above).

Opt for Certification in data science courses.

Secure first entry-level data analyst job.

Earn a PG degree/Equivalent Program in data analytics.

Grow You Data Science Career with Imarticus Learning:

Imarticus offers some best data science courses in India, ideal for fresh graduates and professionals. If you plan to fast-track your Data Science career with guaranteed job interviews opportunities, Imarticus is the place you need to head for right away! 

Data Science course with placement in IndiaIndustry experts design the Certification programs in data science courses and PG programs to help you learn real-world data science applications from scratch and build robust models to generate valuable business insights and predictions.

The rigorous exercises, hands-on projects, boot camps, hackathon, and a personalized Capstone project, throughout the program curriculum prepare you to start a career in Data Analytics at A-list firms and start-ups.

The benefits of business analytics courses and data science programs at Imarticus:

  • 360-degree learning
  • Industry-Endorsed Curriculum
  • Experiential Learning
  • Tech-enabled learning
  • Learning Management System 
  • Lecture Recording
  • Career services
  • Assured Placements
  • Placement Support
  • Industry connects

Ready to commence a Transformative journey in the field of Data Science with Imarticus Learning? Send an inquiry now through the Live Chat Support System and request virtual guidance!

Become A Data Scientist And Start Your Career With A-list Firms !

Become A Data Scientist And Start Your Career With A-list Firms !

If you’re wondering why data science courses have become so popular recently, then it’s because the demand for data scientists is very high among A-list firms.

In the following points, we’ll discuss some of the biggest companies that hire data scientists and how you can start a career in one of them by taking an online data science course in India

Top companies that hire data scientists

Microsoft

If you’re using a PC, then you’ve probably heard of Microsoft already. Microsoft is a software development company and powers millions of computers throughout the world through its Windows operating system. The average pay of a data scientist at Microsoft is $136,000 per year.

Uber

Uber is an online cab-hailing service that has become widely popular due to its innovative solution. It uses data science to improve its operations, optimize route selection for drivers, calculate better fares, and a plethora of other tasks. The average pay of a data scientist at Uber is $139,000 per annum.

Pinterest

Pinterest is a social media platform for sharing and finding images. Social media platforms require the expertise of data scientists to help them enhance their algorithms and offer a better customer experience to the users. The average pay of a data scientist at Pinterest is $212,000 per year.

Google

Google is probably the most popular tech company in the world. It is also among the best employers for data scientists. The average pay of a data scientist at Google is $138,000 per year. Being a simple search engine, Google has expanded into a large tech enterprise with various subsections.

How to become a data scientist

As you can see, becoming a data scientist can help you bag lucrative jobs in some of the world’s top companies. Starting a career in data science is quite easy as well.

You will need to join a data science course in India to learn the necessary skills for this role. Online data science courses have become increasingly popular among students and professionals alike who want to start a career in this field.

You should look for data science courses in India that teach you the latest in-demand skills such as R, statistics, predictive analysis, Hadoop, and Spark. It would be best to get a data science course with placement support. When you join a data science course with placement support, you get the opportunity to start your career right after completing the online data science course in India.

Be sure to check the relevant data science course details (such as data science course fees and eligibility requirements) while looking for data science courses in India.

Conclusion

The companies we talked about aren’t the only ones that hire data scientists. Data science professionals work in numerous sectors as well, including finance, education, healthcare, and manufacturing.

Online Data Science Courses in India

Now, you know that you can start a career in this field by taking a data science course in India, you should head to our site where you’ll find more data science course details, including the data science course fees, requirements, and curriculum.

Here Are Some Data Science Careers Which Are Enhancing Our Future!

With the increasing reliance on data science by major corporations and the biggest brands, Data science is the prime focus of this decade. Data science is making our future better by enhancing our life in various ways and through various services.

There are different careers like data analysts, business analysts, and data scientists that one can pursue to contribute to this truly interesting field which has a huge effect on our lives and will affect our future in the years to come. Similarly, data science promotes and supports IT and the efficiency or effectiveness of businesses.

In this article, we will cover how data science is enhancing our future and the various respected careers with job roles that are highly in need of being filled. 

How Data Science is improving our future

There are a variety of ways that data science is improving our future; ranging from its applications in medical science to rapid accurate resolutions to troubled customers, data science is responsible for making our lives faster, safer, and smoother in general. For instance, data science is helping the health industry by allowing patients to be treated more effectively by analyzing historic data of patients.

It is also helping medical science by empowering chemical synthesization and simulating the effects of medication on affected individuals or allergies. Data science is increasing safety and cutting risk for us as well with applications in automated braking systems, AI in navigation, and automated cars, warning about industrial risks or any issue with the structural integrity of physical or digital units.

Data science makes our lives smoother by providing assistance in machine learning of customer care or service platforms which in turn give us rapid and precise resolutions. Data science powers the recommendation engines during shopping, social media and search or media recommendations by learning our behavior and global trends and then using AI to provide us suggestions.

Highly regarded Data Science careers valued by companies and the beneficiaries 

A data science course helps individuals acquire the necessary skills to contribute to this highly reputed and valuable field that works with data. 

Data Science JobsData Scientist – A data scientist helps while sourcing the data and then processing the data. Data scientists are experts in data mining and are responsible for removing the noise from the data, handling the data, modeling the data, and storing the data.

 

  • Data Analyst – Data analysts also engage in data mining, data cleaning, and then working on the data with various tools. Data analysts then analyze the data and then use predictive analytics to gain insights from the data with various tools and simulations with the help of the acquired data.
  • Data Engineer – Data engineers work with scripts for injecting data from various sources, they are involved in the modification of data, creation of data models and they work on the data with various programming languages. They also troubleshoot data problems and assist IT or software development projects.2. Business Analyst – Business analytics is highly used by organizations to gain insights from data, and then with their help, companies make business decisions based on the visual or graphical representations and predictive analytics which is backed by data. Business analytics helps businesses a lot by helping them make the right decisions which helps them cut costs or maximize profit while minimizing risk. 

 

 

  • Marketing Analyst – A marketing analyst uses analytics to find our market patterns and the user or target behavior to help companies accurately target ads and marketing promotions. Marketing analysts depend on data to figure out trends and target the relevant audiences. 

 

It is due to data science that we are able to enjoy the various forms of technology and automated or AI-powered services that are backed and powered by data science. An expertly orchestrated data science course can help in acquiring various job roles that are in need to be delegated to human assets trained extensively in data science. 

Interesting Puzzles To Prepare For Data Science Interviews !

A Data science career is a lucrative opportunity with many young professionals opting for it. With the easy accessibility to data science courses, the number of professionals pursuing it is rising. There is a huge demand for expertise in this area and it has been voted as the best career by Glassdoor in the United States.

Though there is a need for professionals in this field, it is often not easy to get into. Organizations look for problem-solving and analytical skills in their potential employees and judge them based on creative and logical reasoning ability.

Having a different approach towards a problem and solving it in a unique way can help one stand out from the crowd. It isn’t a cakewalk to master these abilities. One has to practice and try to improve their skills. Solving puzzles is a way to test the individual’s ability to think out of the ordinary and also puts to test problem-solving skills.

The interviewers while hiring fresher especially give them puzzles to solve during their interviews. Due to the pandemic, many companies now have a stricter policy when it comes to choosing the right candidate for the job. It is challenging and the chances of selection are less compared to earlier.

Data Science Career Interview

Some are even assessing the candidates based on their coding skills. To provide an insight into what is in store for the candidates, below mentioned are some of the commonly asked puzzles during a data science job interview.

  1. There are 4 boys A, B, C, and D who are supposed to cross a rope bridge. It is very dark and they have just one flashlight. It is difficult to cross the bridge without the flashlight and the rope bridge can only stand 2 people at once. The 4 boys take 1, 2, 5, and 8 minutes each. What is the minimum time required for the four boys to cross the rope bridge? 

Sol:

This is a question that is most repeated and has an easy solution. A and B are the fastest boys and can cross the rope bridge first. They take 2 minutes. B stands on one side and A returns with the flashlight in 1 minute. So the total time taken is 3 minutes. After that, C and D have to cross the rope bridge. They have taken 5 and 8 minutes each. The total time taken is 8 minutes.

When we add the time taken by all, it is 3+8 which equals 11 minutes. C and D stand on the other side and B takes 2 minutes to return. Hence the total time that is taken by all is 11+2 which equals 13 minutes. At last, A and B will cross the rope bridge and will take 2 minutes and that adds the total time to 13+2 which is 15 minutes. So the time required by all the 4 to cross is 15 minutes.

  1. A person is in a room with the lights turned off. There is a table. A total of 50 coins have been kept on the table. Out of the 50, 10 coins are in the head position while the other 40 are in the tails position. The person has to segregate the coins into 2 different sets in a way that both sets have equal numbers of coins that are in the tails position.

Sol:

Segregate the coins into two groups, one with 10 coins and the other with 40 coins. Turnover the coins of the group that has 10 coins

  1. A bike has 2 tyres and a spare one. Each tyre can only cover a distance of 5 kilometers. What is the maximum distance the scooter will complete? 

Sol: 

To simplify the problem, we will name the tyres X, Y and Z respectively. 

X runs 5 kms

Runs 5 kms

Z runs 5 kms

Initially, the bike can cover a distance of 2.5 kms with tyres X and Y

X=2.5 kms, Y=2.5 km, and Z=5 kms

Take off tyre X and ride the bike with YZ another 2.5 kms

Remaining X= 2.5, Y=0 and Z=2.5

Take off tyre Y and ride the bike with XZ another 2.5 kms

Remaining X=0, Y=0 and Z=0.

Hence, the total distance covered by the bike is 2.5+2.5+2.5 = 7.5 kms

The more an individual practices such puzzles, the better the chances of landing a data science job.

Related Articles:

Analytics & Data Science Jobs in India 2022 — By AIM & Imarticus Learning

The Rise Of Data Science In India: Jobs, Salary & Career Paths In 2022

Stay Competent with most In-Demand Data Science Skills!

What is Data Science?

The Science of combining capital processes, algorithms, and many such best tools to collect, manage and analyze the most important data to make business decisions is Data Science.

Who is a Data Scientist? 

A computing professional beholding the skill of data collection, data storage and management, and data analysis enabling the organization to make data-driven decisions quickly are Data Scientists.

 In-Demand Data Science Skills

Some of the most In-Demand Data Science Skills are:

Understanding of Math & Statistics 

Online Data Science course in India is all about extracting the required information from the data. A depth understanding of mathematical probabilities and statistical methodologies helps in data analysis.

Data Science SkillsThe majority of the data science models are built using one or more, known or unknown variables. Thus, the in-depth understanding of multivariate calculus is the key requirement to develop Machine Learning models.

A detailed understanding of functions such as Logit, Cost, rectified Linear unit, Step, Sigmoid, etc. is very much required to deal with the large data. Apart from these functions, the detailed understanding of Matrix algebra.

vector Algebra and Differential and Integral calculus help the Data Scientists to develop and understand the systems at a faster pace.

 Programming Skills for Data Science

In order to achieve the objective to transform the raw data into business insights, Programming skills plays a crucial role. Among all the programming languages, the go-to languages are Python and R, Python being the lingua franca in the data science field.

Skill to wrangle the Data

The process of removing imperfections from the raw data to get the data that can be easily analyzed is known as Data Wrangling. The entire process includes acquiring the data, combining the data with relevant fields, and cleansing the data. In short mapping the raw data from one form to the other to set up the data to get business insights.

Management Skills

Database management is a prerequisite of Data analysis. The basic requirements for a Database Management System is the family of programs to edit and manipulate the data and the operating system to provide the specific data.

Data Science Career 

The special skills set will definitely make you stand out from the crowd when the field and hence the number of jobs in the market are increasing at a faster pace.

Data Science Career Job Requirements Average salary
Data Scientist ·      Data collection and organization

·      Find the pattern in the data to help the strategic business
decision

 

$139,840

Data Engineer ·      Batch Processing of the database

·      Build and maintain data pipelines

·      Make the information available to the Data Scientists

$102,864
Machine Learning Scientist Research for the new data approaches and deep learning techniques. $114,121
Machine Learning Engineer ·      Create data funnels

·      In-depth understanding of statistics and programming

·      Designing and developing machine learning systems

$114,826
Data Analyst ·      Transform the large Database to meet the purpose.

·      Prepare the reports to facilitate the decision-making process by communicating trends and insights from the data.

$62,453
Business Intelligence Developer ·      Design and develop the strategies to make the specific information accessible for business decisions in lesser time.

·      Facilitate the system understanding to the end-users to use the data effectively

$81,514
Statistician ·      Facilitate the Data Collection process.

·      In-depth Data analysis

·      Data interpretation

·      Identify the relevant trends from the data

·      Design data collection processes

·      Advise the overall organizational strategy

$76,884
Applications Developer ·   Keeping track of the applications used in the business and internal interaction

·   Design the overall process flow of applications with the inclusion of development of user interface components etc.

$113,757

 

 Average Salary data is taken from https://www.glassdoor.co.in/Salaries/data-scientist-salary