Imarticus Learning – Page 600 – Finance, Tech & Analytics Career Resources

How Is It Working at Amazon as a Financial Analyst in India?

Posted on September 19, 2020December 5, 2023 by Imarticus Learning

Role of a financial analyst

In the contemporary digital era, data is the fuel for businesses. Any important decision-making needs to be backed by relevant data. Data science has helped businesses to obtain valuable insights from tons of relevant data. It also helps to discover trends and patterns that could influence the profitability and revenue of an organization. Financial analysts are people who utilize historical and present financial data to analyze information and make sense of numbers.

The primary role of a financial analyst in any organization is to help discover hidden trends and patterns from the data sets, they also help to analyze important financial statements and find out any anomalies that could help discover potential threats for the business. Financial analysts are also responsible for finding out the most profitable investment opportunities for organizations so that the limited resources can be put to good use.

Data collection, financial modeling course, and spreadsheet maintenance are some of the primary responsibilities of a financial analyst.

The exact set of responsibilities might differ depending upon the firm you are working at. The financial analyst career has become widely popular and is one of the preferred choices by those who want to get into the financial services industry.

The demands for financial analysts course in India are on the rise owing to the relevance of the role of businesses. One can opt for a financial analyst course by reputed institutions such as Imarticus Learning that also provides job opportunities along with practical knowledge and skills.

Financial analyst career at Amazon

Amazon is one of the fastest-growing companies in the world; it is the industry leader in the e-commerce segment. Amazon is one of the most reputed organisations in India which also has a very lucrative remuneration system for its employees. Working as a financial analyst at Amazon is like a dream come true for many who are interested in this job role. Let’s delve deeper into how it is working as a financial analyst at Amazon India.

There is no doubt that Amazon has one of the best remuneration structures for its employees who are working in the capacity of a financial analyst. However, the exact working experience is very subjective and people have a mixed opinion about the work-life balance and the work culture. After going through the reviews of Amazon employees on popular job platforms it was found that Amazon is a fun place to work at and provides a lot of opportunities for those who have a learning mind-set.

Amazon provides a pleasant atmosphere to work at and management is quick to assist employees on all steps of the way making it easier for them to concentrate on their primary responsibilities. A senior financial analyst mentions that it’s always day one at Amazon’.

Most employees felt that amazon is a very customer-centric organization that believes in providing the best customer service and maximum customer satisfaction. The customer-centric approach of Amazon is what makes it best in the business and second to none. ‘Work hard and have fun’, that’s the code by which most employees work at Amazon.

Another senior financial analyst at Amazon India mentions that Amazon provides a very relaxed work environment and allows you to be yourself. The rigid work-culture can surely cause burnout and Amazon realises the importance of providing a relaxed work environment to its employees. Another employee working in the capacity of a senior financial analyst says that working at Amazon is both productive and fun. In aggregate, it is fair to say that working as a financial analyst at Amazon India provides you with freedom, work-life balance and fun in addition to good remuneration.

Also Read: What are the Benefits of Being Financial Analyst

What’s the Difference Between an Equity Analyst, Financial Analyst, and Financial Advisor

Posted on September 18, 2020December 5, 2023 by Imarticus Learning

The demand for analysts is growing more than ever nowadays because a lot of firms/companies are realizing the importance of data analysis. Modern tools and technologies are also making analysis easier. There are different types of analysts like equity analysts, budget analysts, Financial analysts, etc. All have various specified job roles. In the field of finance, there are many professionals, let us see the difference between an equity analyst, Financial analyst, and a financial advisor by comparing their job descriptions & roles.

Equity Analyst

An equity analyst can be hired by an investment bank, brokerage firms, money managing firms, etc. Their job is to manage and analyse stock portfolios in such a way that it results in profit. Equity analysts also analyse and build financial models. Their research helps in stock recommendations to their clients. They do market research by reading news, making predictions, talking to clients, etc. They recommend their clients about selling, buying, or holding equity.

They are well aware of the market conditions and know when the right time to do make a financial decision is. There are two types of equity analysts that are Buy-side & Sell-side analysts. Buy-side equity analysts work with mutual fund firms, financial advisory firms, etc. and help in researching portfolios and making recommendations on whether to buy or sell equity. Sell-side equity analysts work with big investment firms/banks and try to find potential profit opportunities.

Financial analyst

A Financial analyst is also hired by investment banks, big firms, etc. and are responsible for assisting their clients in making better financial decisions. They are not fully involved in portfolio management like equity analysts, they have to analyse and build financial strategies. They make sure that any financial decision results in the growth of the business. Risk identification & management is also the job of a financial analyst where he/she tries to minimise the financial vulnerability of any particular financial decision.

Data analysis is a must required skill in a financial analyst and he/she should also be able to communicate the financial strategies to his/her co-workers/superiors. A Financial analyst is an expert in reading and analysing financial statements and can also perform budget analysis. However, some firms hire analysts only for budget analysis purpose but it can be done by a Financial analyst too. Financial forecasting is also done by a Financial analyst where he/she predicts trends and opportunities.

Financial Advisor

A financial advisor can work as a freelancer or for any firm/company. A financial advisor helps his/her clients by assisting them with investment opportunities, selling, or buying resources. They are well informed about the market condition and current opportunities in the market. One does not need to have excellent numerology & mathematics skills as compared to equity analysts and Financial analysts. A financial advisor should be good with people and good in analysing market trends.

A financial advisor has good communication skills and he understands the client’s needs and then does market research based on his/her client’s needs. A client who doesn’t know about the financial rules & regulations seeks help from a financial advisor who makes sure that all the rules & regulations are followed. The working culture of a financial advisor is also very good and one can earn a lot in this sector.

Conclusion

A lot of companies are hiring analysts for different roles because of the emergence of new-age technologies & tools which are making analytics easier and more accurate. You can learn about the skills required in these sectors by taking up a financial analyst course or certification courses available on the internet. This was all about the difference between an equity analyst, a Financial analyst, and a financial advisor.

Also Read: Difference Between Financial Analyst & Business Analyst

What are the Career Path and Qualifications for Credit Risk Analyst?

Posted on September 18, 2020September 1, 2025 by Imarticus Learning

What is a Credit Risk Analysis?

Credit Risk, as the name suggests, is the study or analysis that is done with the motive of ascertaining the creditworthiness of a borrower. The main aim of this analysis is to determine the total amount of risk that the lender is exposed to.

The task of credit risk analysis is taken over by a specialized credit risk analyst in any of the lending institutions like lending houses, commercial banks or other financial institutions.
Generally, a lender has to deal with two types of credit risks namely the concentration risk and the institutional risk. The former involves the risk of money lent depending upon the performance of a particular sector or industry. To quote it as an example, a lender who has lent out money to various manufacturers like the cement manufacturer and the brick company must be receptive to risks in times of any shocks to the construction industry. The latter deals with risks involved with the functioning of an institution acting as the supervisor of the contract. It can be any legal entity.

Role of a Credit Risk Analyst

Apart from the basic role of analysing the financial statements of clients, a credit risk analyst has the following roles and responsibilities.

Recommendations: After assessing the financial data of a client, it is the role of credit risk analysts to recommend the client to be lent out money based on the overall assessment conducted.
Staying updated: Dealing with a variety of data, an analyst needs to stay updated about all the present-day changes and upgradations in the working pattern.
Being observant: A credit risk analyst is required to be observant while assessing the financial data and must have a keen eye to figure out discrepancies or falsies in the information.
Systematic functioning: Being systematic is important in this field of work. Maintaining data of past and present borrowers is important.

Qualification Required for Being a Credit Risk Analyst

For being a credit risk analyst, an associate degree is required in any field of studies like accounts, finance or economics. There may be fewer chances of the job options available just after an associate degree as different positions require a different educational qualification. Some positions in the same field may seek new-comers with a minimum of an under graduation degree in finance, accountancy or economics.

If you wish to work your way up in the same field, a master’s degree in business administration may be mandatory.
Although there isn’t any specific certification as a lawyer or a chartered accountant, after gaining a three-year experience in the same field of work, the Risk Management Association can provide you with a Credit Risk Certification (CRC) that can be a proof of your continuous experience in this particular field.

Along with this, an aspirant must possess comprehensive knowledge of financial terms, mathematical formulas and accounting ratios with a keen eye to decipher the discrepancies in the data. Being adroit in applications like MS office in addition to technical know-how is significant. For a streamlined banking and credit underwriting career, you should look up at the banking and credit underwriting course provided by Imarticus learning. Imarticus provides you with a detailed and professional insight about this field.

Credit Risk Analyst as a Career

Beginning from the basic level of job in this field with a basic level of qualification, one can be hired for the position of a junior analyst. A junior analyst has to go through the records and documents related to personal and consumer credit and analyse the risks. Candidates with an associate degree along with some experience can be recruited for such positions.
If you want to move up the hierarchy, a university degree is paramount. Getting a degree from a decent university will help you in getting positions involving business credit analysis. With considerable experience and good conduct, you can work in higher positions. Once you gain expertise, being a senior level analyst is not a far cry. Senior-level analysts generally have a team of junior analysts working under them. This role comes with great responsibilities and a knack for healthy supervision and coordination.

Higher-level analysts further get promoted to different positions in financial management which may involve overseeing departmental performances or making credit decisions.

Also Read: What is Credit Risk Analysis and Why It is Important

What Does It Take To Be A Good Data Scientist?

Posted on September 18, 2020April 2, 2024 by Imarticus Learning

What does a data scientist do?

The importance and applications of data science have grown exponentially over the past decade. Data science is still in its nascent stage and there’s a whole lot to be identified about this discipline. Businesses have started implanting strategic decision-making tools that leverage data science.

Data helps businesses by providing them with hidden insights and helps them predict the future outcome of their decision. This helps organizations to make a better business decision.

Let’s delve deeper into what these data scientists do and how it helps the organizations.

Finding a solution to business problems

One of the most basic and key responsibilities of data scientists in an organization is to identify existing challenges and problems that a business is facing and finding solutions to remedy the situation. This might seem like a generic responsibility of every important professional but the main difference here is that data scientists use tons of relevant data to find the problem.

They try to come up with solutions after properly assessing the situation using various analytical tools that provide them with useful insights. They leverage statistical analysis, data visualization and mining techniques to provide effective solutions.

Find out relevant data using complex research

The 21^st Century businesses are complex than ever, there are various factors that determine the fate of an organization. With the number of complexities that exist, it’s very difficult to figure out what impacts your business and how it does that.

Data scientists simplify this for organizations by studying all variables affecting a business. They use complex research work to identify the variables that have a maximum impact over the business and which are highly relevant.

Identify patterns and trends

Another important work of a data scientist that helps businesses is to identify patterns and trends. Data scientists use sophisticated data analysis techniques to find trends and patterns from the data sets at hand. These data sets are generally historical records of the organization. It helps them to identify the existing patterns and trends which is used to make predictions regarding the future movement of the variables.

How to become a data scientist?

Data science is one of the most in-demand skills in the industry and given the wide range of applications that it has, the demand for a data science professional will continue to rise in the future. One of the most common questions in the minds of data science aspirants is how to become a data scientist? There is no specific answer to this particular question. It depends on what stage of your career you are at and the skillset that you have.

A data science course by reputed institutions such as Imarticus Learning guarantees placement with top-notch firms in the industry in addition to providing relevant knowledge and skills. It also helps you provide guidance from the industry experts who are highly experienced in this domain.

Let’s delve deeper into some of the most prominent skills for data scientists that you should hone if you are planning to opt for a career in this field.

Analytical skills

One of the key skills that are required in this profession and that forms the base of all your work is your analytical skills. One should have an analytical mindset and should be able to identify trends and patterns from a big chunk of data. You should be able to assess a situation from a different perspective to reach a successful conclusion. One should be trained to work with software like Python and R and should be equipped enough to handle large volumes of data.

Problem-solving skills

Another important skill that you need to work on is your problem-solving skills. You need to use data to figure out challenges that exist in the business. After you have figured out the problems you will have to provide a solution using data analytics tools that will help the business to achieve its goals and objectives.

What Do You See as the Key Strengths of a Business Analyst?

Posted on September 17, 2020December 5, 2023 by Imarticus Learning

A business analyst is in demand in all kinds of companies. Businesses rely on these professionals to provide insights that will be used in decision making and running business operations. A business analyst course will help a person in understanding the nuances of the subject and in becoming an effective business analyst.
A business analyst is chosen based on different parameters. Make sure to brush up your skills before applying for s similar role.

Key Strengths of a Business analyst

Business Analysts are known for their professional and soft skills. They need to be ready for the hard work and time the job demands. Some of the major strengths of a business analyst are as follows:

Identifying objectives: Business analysts are aware of the objectives of the business. Therefore, they work towards the goals set by the business itself. A business analyst knows how to do a job. Also, they know what kind of results have to be delivered.
Good communication skills: A business analyst interacts with different stakeholders of business regularly. Therefore, he must communicate effectively. A good business analyst knows how to talk to people and getting the work done. A business analyst course will also help in understanding the kind of tone required.
Strong reasoning ability: Business analysts are known for their acumen. Therefore, an ideal business analyst is someone who has strong reasoning ability and critical thinking skills. Also, these skills have to be brought in the day to day activities as business analysts manage huge data sets and points daily. Also, they have to extract a lot of information from these data sets. Good reasoning ability will help your cause. A business analyst course would help you with this.
Time Management: Managing time is one of the most important strengths of a good business analyst. The work schedule of an analyst is quite hectic. He has to manage multiple tasks at the same time. Therefore, an analyst needs to manage time as the job role demands commitment and high work volume. Also, it is important for a business analyst to multi-task. The job demands a full commitment to the schedule.
Good technical skills: Business analysts make use of different arithmetic models to come down to a conclusion. These models are developed for a better analysis of multiple data sets. Therefore, business analysts possess great technical and computer handling skills which makes their jobs much easier.
Analytical skills: The work of a business analyst requires him to acquire analytical skills as analytics form a very important part of the job. Also, with good analytical skills, you can reduce the time taken by every activity. Also, a major part of the business analyst job is to crunch numbers and data. Therefore, a business analyst needs to make use of the different analytical tools to come to a conclusion or to even analyse the data in the first place.
Decision-making skills: A business analyst is a respectable position in the company. They perform a pivotal role in managing the business. Also, a business analyst enjoys a great deal of autonomy. Therefore, he needs to make judicious use of his power and take decisions wisely. Also, these analysts are required to use their judgement in a lot of cases. Therefore, a good business analyst is most likely to have an impactful decision-making skill.

Conclusion

Business analysts are being demanded in all kinds of companies. They take up a professional approach to solve complex business problems. They play a very crucial role in running the business effectively and profitably.

Also Read: What is Life Like For a Business Analyst in India

What are the five must have qualities of a Scrum Master?

Posted on September 17, 2020December 5, 2023 by Imarticus Learning

A Scrum Master facilitates the inclusion of the Scrum methodologies to ensure smoother execution of the project plan. The roles and responsibilities of a Scrum Master lies somewhere between management and team leader. Finding a Scrum Master to fulfill the needs of the company is a very complex task, as the qualities needed for the role of a Scrum Master are carried by very few employees. The qualities vary from product to product, considering the unique features and the existing technicalities. Despite the individual requirements of the companies, there are five must have qualities of a Scrum Master:

Effective communication skills: The Scrum Master is a person who takes care of all the communication between the product owner and the entire team members, communication within the team, without actually being included in the strategy flow of the product. Considering the Scrum Master does not enjoy the authority and power to scare the people to achieve the objectives, the only way left is best communication skills. Here values and ethics plays an effective role. Giving respect and getting respect go hand in hand via effective communication network.
Healthy inter-personal relationship with team members (Community building and Servant leadership): Considering the Scrum Master understands the strength and weaknesses of the Product team members and the requirement of the projects, it is the core responsibility of the Scrum Master to guide the team members to remain organized, to speak out the problems and arrange the training and other such sessions as and when required. A Scrum Master may act as a team leader but does not enjoy the powers and authorities of a manager in real sense. The ultimate way to influence the team members is to command the respect.
In depth understanding of product and the related market: One of the key roles of Scrum Master is to understand the problems faced by the team members. Knowing the work-related technicalities in detail, a Scrum Master can help the team members with proper solutions without taking much time. Prompt and effective solutions help team members to remain progressive on the decided roadmap to achieve the goal.
Seeking continuous improvement: The ultimate objective of the Scrum Master is to improve the day to day working habits of the team members to improve the efficiency. The habit of an introspective and retrospective analysis of each and every process and procedure help the Scrum master to streamline and optimize the work as and when required. Scrum Master actually encourages the employees to step back and reflect to understand where they actually stand.
Understanding the difference between Servant leadership and traditional leadership: The role of Scrum Master is not to decide what a team is supposed to do, but to help the team with the support as and when required to achieve the objective by eliminating any impediments if present.

A servant leader is different from a traditional leader in a way that servant leader always thinks about the team members. The traditional leader serves the organization, whereas the servant leader serves the people in the organization. The execution of the management’s decision lies in the hands of employees, and employees tend to respond to those who think about them prior to the organizational goals. A servant leader understands that the employees not only work for the organization, they work for themselves too. Taking care of individual requirements to the best of the capacity is the role of a Scrum Master. Hence, a Scrum Master must have the core qualities of a servant leader, rather than a Traditional leader.

Also Read: Roles & Responsibilities Of Scrum Master

Role of Business Analyst in Agile

Posted on September 17, 2020 by Imarticus Learning

Business analysts’ community has been talking about ‘agile business analysts’, and this topic has been so much on the focus that there are courses conducted on how to become one. There is a LinkedIn group named ‘Agile Business Analysts”. After all, what is it about? Some people even wonder that they never come across any mention of business analyst while talking about Agile. Agile focuses on the concept of providing value to the clients, and this underlines the need for a business analyst. The difference is that in Agile, the entire team collaborates to do business analysis. There is indeed a substantial difference in the way business analysis is done in Agile and other businesses.

Business Analysis in Agile

Agile business analysis is different from the usual business analysis. Business analysts usually work on large volumes of documents. The agile business analysis emphasises on a smaller number of documents. To find a solution for a business problem and to decide on the documentation, an Agile business analyst work in collaboration with other members of the team. Another major difference is the concept of iterations, which are a time-boxed delivery cycle. They are short, unlike traditional projects. Each iteration goes through the complete cycle of requirement gathering to development, testing, and delivery. During each cycle, the team collaborate to determine what sort of analysis is needed to create a bigger picture without spending much time in building an inventory. You may enrol in a business analyst course to acquire the skills needed to excel in this role.

What is the Role of a Business Analyst in Agile?

Business Advisor: The main role of a business analyst in Agile is to support the product owner. An Agile business analyst scrutinizes the business domain, stocks and grooms the backlog. Business analyst courses focus on building these critical skills. The product owner is the ultimate decision-maker, who is responsible for representing the business needs and understanding the requirements. It the business owner who decides which requirement is important. However, the product owner may trust a business analyst if he/she is able to demonstrate good business analysis skills.
Domain Analysis: The business analyst is responsible for analysing, understanding and explaining the business domain and identify the problem that requires a solution. To achieve this, an agile business analyst facilitates discussions on revising, creating and/or elimination of business processes, what are the requisite information and who are the stakeholders, what are the systems involved etc. Along with this, the business analyst also facilitates the discussion about the policies and rules to guide the project. A business analyst needs to look into the requirement models and see if the models can be used even after the project is done and settled.
Stocking the Product Backlog: This means that the business analyst is responsible for creating a catalogue of user stories that represent the project. Each user story narrates the specific feature or functionality of the project that is valuable to the user or software solution.
Grooming the Backlog: It is upon the business analyst to maintain the backlog so that it can be used as a tool. A business analyst can provide information on the value of the different elements in the product backlog perceived by the stakeholders.

The role of a business analyst in traditional software development was clearer and well-defined than the modern context, such as Agile business analyst. The role of product owner sometimes masks that of the business analyst, however, the business analyst is responsible for providing adequate support to the product owner ad to ensure close collaboration between the team members to ensure the smooth execution of the project. Enrolling in a good business analyst course will help you understand more about the role.

Also Read: Rethinking the Role of Business Analyst

What are the Qualifications Required By a Data analyst

Posted on September 16, 2020January 30, 2021 by Imarticus Learning

Data analysts are those who convert mathematical figures and variables into simpler terms that could be understood by the people (usually management) and could thus supplement in a decision-making process. Data analysis as a field has wide applications across industries like marketing, finance, operations, and so on.

Given the widespread demand in the job market, a qualification through a data analyst course is always helpful in creating job opportunities for the people looking to build a career in this domain. However, there is various other qualification that is a pre-requisite to becoming a data analyst.

Completion of Secondary and Higher Secondary (or any other equivalent examination)
Aspirants need to complete their class 10th and 12th board exams with a minimum of 50 per cent aggregate. Students from a science background who have studied mathematics, statistics, economics, computer science, or other such subjects that require high analytical abilities are preferred, however, aspirants from other streams are considered as well.

Bachelor’s Degree

Every aspirant must have a Bachelor’s degree. Various degree holders can get a job as a data analyst. A list is given below

B.Math (Bachelor of Mathematics)
B.Com (Bachelor of Commerce)
B.Stat (Bachelor of Statistics)
B.Tech (Bachelor of Technology) Computer Science
B.Tech (Bachelor of Technology) Data Science and Engineering
B.Tech (Bachelor of Technology) Big Data Analytics
B.E (Bachelor of Engineering) Computer Science
B.E (Bachelor of Engineering) Data Science and Engineering
B.E (Bachelor of Engineering) Big Data Analytics

These Bachelor’s degrees would fetch jobs mostly at an entry-level. Most of the degrees above are in the field of maths, statistics, and so on. A qualified data analyst needs to have that knack of crunching numbers and playing with huge data sets, that is why people who have done their graduation are considered qualified. However, this list is by no means is exhaustive.

Master’s Degree

Post a Bachelor’s degree people can get data analyst jobs. However, to get into roles that are very high-end and require greater professional commitment from data analyst companies usually prefer people who have a Master’s Degree. A list of the most common qualification degrees for a data analyst job is given below

M.Math (Masters of Mathematics)
M.Com (Masters of Commerce)
M.Stat (Masters of Statistics)
M.Tech (Masters of Technology) Computer Science
M.Tech (Masters of Technology) Data Science and Engineering
M.Tech (Masters of Technology) Big Data Analytics
M.E (Masters of Engineering) Computer Science
M.E (Masters of Engineering) Data Science and Engineering
M.E (Masters of Engineering) Big Data Analytics

This list by no means is exhaustive and there are other Master’s degrees people might choose to pursue to get into data analytics. People usually prefer to do a job after the completion of their Bachelor’s and before Masters, as a work experience before Maters is often considered as an important qualification for the aspirant who is applying for the job role of a data analyst after Masters.

Data Analyst Course

An aspiring data analyst can also choose to do online courses on various internet sites like Udemy, Coursera, etc. Although it is not a mandatory requirement like the above three, it is a qualification that helps aspirants in many ways. People can learn a variety of software from this data analytics courses like

R Programming
Python
Apache Spark
OpenRefine
QlikView
Microsoft Excel
SAS

This is a qualification sometimes considered by a company for people who are new to the field. Even seasoned data analysts applying for new jobs do certification courses in these fields as most of them are adept with one computer language only and would their job titles sometimes require them to have a working knowledge of others as well.

Also Read: How to Become a Successful Data Analyst

What Are the Topics Covered in a Data Science Course

Posted on September 16, 2020October 19, 2021 by Imarticus Learning

Data Science consists of six major topics. These are:

Statistics
Linear Algebra
Machine learning
Programming
Data Visualisation
Data Mining

Through a data science course, one can have a better understanding of these topics. These topics are discussed further in detail through the course of this article.

Statistics:
Statistics is the mathematical branch of business which includes the processes of collecting, classifying, analysing and interpreting the numbers to draw an understanding of them and thus, draw a conclusion.
Statistics is implemented in various ways in the field of data science. These are:

Experimental Design: The answers to various questions are found through means of experimentation including samples size, control groups, and so on.
Frequent Statistics: The user is allowed to define the value of the importance of the result of data.
Modelling: Having statistical knowledge is important for the further success of a data scientist, even though it does not see daily use in their lives. Old statistical models are being slowly replaced with the new models.
Linear Algebra: Linear algebra is a section of mathematics which involves the process of linear mapping between vector spaces. It sees use in data science in the following ways:
1. Machine learning: When working with data that is dimensionally high and involves matrices, linear algebra comes in very handy. It’s component analysis, and regression techniques see the most use along with eigenvalues principals.
2. Modelling
3. Optimisation
Programming

Coding is a very important part of data science and being able to code well is extremely important for any data scientist. Having a background in computer science is thus a large advantage, however, if one does not have such a background then these skills can easily be picked up through a data science course.

Automating tasks not only saves time and effort but also helps make the process of debugging, understanding and maintaining codes simpler. The practical skills involved in programming are as follows:

Being comfortable with data development. Usually, people with a software development background find it easier to work on commercial projects at a higher scale.
Having experience in the database area, such as knowledge of modern databases like NoSQL and cloud as well as on older databases like SQL, is important to any employer.
Teamwork and collaboration are important as most work as a data scientist would be tone in groups. Thus communication with teammates and holding strong relationships would help keep productivity at a maximum.

Important practices here involve:

Maintenance
Avoiding the use of hard values
Documentation and commenting continuously
Refactor the code

Machine Learning

Machine learning is important in data science and has shown use in a large number of groundbreaking technologies like self-driving cars, drones, image classification, speech recognition, so on and so forth. This field is expanding every minute and expanding very quickly. Thus the knowledge of machine learning and its implication would be necessary for any good data scientist.

Data Mining

The process involving the exploration of data and extraction of vital information is called Data Mining. A data science course makes the understanding of such a topic much clearer. The commonly used slang in data mining are listed below.

Data wrangling/Data munging
Data Cleaning
Data scraping

Data Visualization

Even though the term may seem self-explanatory, there is more to it than what we see. Data visualisation is the process of communication of data and its results through pictorial or graphical representation. The goal of it is to communicate the findings of the data in the simplest way for understanding.

Thus a data science course would further equip aspiring data scientists with all the tools in the toolkit necessary for optimal success in their career.

Coronavirus Fears Accelerate Wealth-tech Innovation! How?

Posted on September 16, 2020March 21, 2024 by Imarticus Learning

Introduction

Wealth-tech is one of the trending sectors in recent days. It is wealth management through digital solutions. Wealth management is being done with the help of technology and it gives better results and accuracy. It also helps in faster analysis & research.

Market forecasting can also be done more accurately with the help of wealth tech services. The recent coronavirus outbreak has slowed down the growth of many industries but it will not slow down the growth of wealth tech services. Let us see how wealth tech services are predicted to grow despite the recent Covid-19 outbreak.

How will the Wealth-tech Sector Grow?

The reasons which will help in the growth of wealth tech innovation despite the coronavirus outbreak are:

Wealth-tech has influenced automation in wealth management services. New-age technologies like artificial intelligence, data analysis, machine learning have helped in the growth of Wealth-tech services. People can now automate the wealth management services and they don’t even require a professional to physically manage the processes.
It can all be done by smart & intelligent applications. The digital platform can be easily managed by wealth managers from a remote location too. All they need is a system and the client’s requirements. This also helps in adopting more efficiently with the new work from home culture.
This pandemic has forced companies/firms/HNI clients to opt for digital wealth management services. If it wasn’t for the pandemic, they still would have been taking traditional wealth management services. It won’t be a hyperbole to say that this pandemic is a blessing in disguise for the wealth tech sector. The employees are also shifting rapidly towards digital platforms.
Wealth-tech extends its services to smaller companies as well. The digital tools & services can be used by small scale companies that would have been neglected otherwise.
Wealth-tech also helps in cost optimization. Smart applications provide data-driven solutions to wealth management problems and reduce the cost of hiring wealth management professionals for the same. Companies can just use smart digital solutions and can easily manage their wealth.
HNI or Ultra HNI clients are also happy about the wealth tech services as they can now talk to their wealth manager from a remote location too. The social distancing norms have been introduced due to this ongoing pandemic. Wealth-tech helps in taking advantage of its services while following the social distancing norms.
Market volatility & uncertainty is expected to grow because of the ongoing pandemic. It such times, you don’t want wrong forecasting information so that you end up investing in a loss generating venture. The digital wealth tech solutions are proving to be more accurate than traditional methods. The data analysis & forecasting is more robust & on point via the digital mediums. This will help clients in opting for wealth tech services to know about the trends.
It is expected that AUM (Assets Under Management) sector will grow from $74.3 trillion in 2018 to $145.4 trillion in 2025 with an impressive CAGR (Compound Annual Growth Rate) of 8.8%. The asset management under wealth management is also shifted to online channels and clients are loving this innovation as it helps them to get more accurate details in less cost. It reduces paperwork and the amount of hard work an individual has to put in to go through all the assets & financial resources of any particular individual.