Learning data science and machine learning from IIT Roorkee is an experience

Posted on November 1, 2022April 8, 2024 by Imarticus Learning

Learning data science and machine learning from IIT Roorkee is an experience

Data science and machine learning are two important tools used in a steadily growing global IT industry. Their usage lies in how one uses data to innovate, improve and even create new products, services and other infrastructural practices to ease work in various industries.

At a time when data management is key can be the perfect time to venture into a career in data science. With high demand and comparatively less supply of labour in the coming years, the data science field yields high salaries and diverse growth opportunities. Read on to learn data science and machine learning and how they can improve and expand career growth.

What is Data Science?

Data science is a field used to extract unstructured data and make it of use, using a series of programming languages, algorithms and analyses. This meaningful data is then used to improve and innovate any product or service/s that maximises business profits and builds better than their previous services.

Skills needed

Pursuing a career in data science includes a few prerequisites. If you are interested, here are some of the skills needed in data science and machine learning careers that provide an edge in the competition:

In-depth knowledge of programming languages like Python, Java and C++
Fluency in mathematics, statistics and data interpretation skills
Comfort in working with a huge amount of unstructured data
Skills in converting structured data into audiovisual representations
Knowledge of machine learning models and algorithms used
Communication skills to present the data findings to stakeholders

Career paths

Here are some of the best career paths you can pursue after a certification course in data science:

Data scientist

Their job is to organise unstructured data and present the findings to stakeholders. The data should simultaneously improve and encourage positive benefits in the organisation.

Data analyst

Data analysts are focused on the cleaning and sorting of data and proceed to analyses.

Data engineer

The job of a data engineer is to build usable systems and models through which data scientists and analysts can receive proper data information rather than unorganised raw data.

Role of Machine Learning in Data Science

Machine learning is a data-driven field in the broader field of data science. Machine learning uses previous user data and uses certain algorithms to interpret the data. This is used to improve products/services in an organisation. ML models are often trained and their improvement is used to feed into the machines without manual intervention.

How is Machine Learning useful to a data scientist?

Machine learning in data science fields is the newest and least time-consuming way to structure and organise company data into positive usage. The amount of data is steadily growing and the need of the hour is quick analysis. Manual or conventional systems are running out of fashion and benefits, which is where machine learning always comes in handy with its constantly updating technologies. Perfect-quality and accurate results are a win in today’s competitive IT industry, hence knowing the applications of ML is necessary for a data scientist and their progress.

Adding a degree to skill: Career in Data Science

To smoothen your career in data science, have a look at the certification course in Data Science and Machine Learning, created with iHub DivyaSampark, IIT Roorkee, by Imarticus. The course is designed to teach candidates the basics of data science and machine learning coupled with their applications in the industry. Taught by acclaimed IIT faculty, inclusive of capstone projects, career guidance and campus immersion scopes, the 5-month long course will provide an aspirant insight into the diverse job prospects in the data science industry. Book your seats now to learn more.

If your focus is set on a career in data science, this course is the right fit for you. As nearly all organisations, global and local, shift to financial technology and internet-based services, data management becomes the need of the day. Hence, data science careers are set to flourish, and you can be a part of this growth.

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How to make the most of your supply chain and analytics certification

Posted on November 1, 2022April 8, 2024 by Imarticus Learning

How to make the most of your supply chain and analytics certification

There are mainly three types of analytic approaches to Supply Chain Management, namely, Descriptive Analytics, Predictive Analytics and Prescriptive Analytics. Descriptive Analytics gives us an insight into what has happened earlier in the same or similar business houses for Supply Chain Management. The process is basically acquiring, summarising and rationalising large datasets to project new business insights.

The process of predicting the future with the usage of historical data gathered and then using different statistical tools or computer-based complex algorithms is known as Predictive Analysis. Nowadays Supply Chain Management Certification Course teaches Analytic Tools to prospective candidates. This is to forecast what will happen in the future. And the third mode of Analysis is Prescriptive Analysis.

This Analytics deals with real-time operation research tools to find out the correct decisions that shall lead to the best results in Supply Chain Management. This can be performed by several optimisation techniques. Predictive Analysis is the future trend of Descriptive Analysis, if there is no course correction. When the corrective measures are taken based on operation-based research and model simulation through computer-aided algorithms, the percentage of error in the Supply Chain Management process is reduced and thus the process is called Prescriptive Analysis, which ultimately leads to a 6-Sigma process i.e. a process with minimum error tolerance.

Predictive Modelling in forecasting Supply Chain Elements

Predictive Analytics examines all possible scenarios encompassing demand planning, cost, profit, inventory optimisation, logistics and much more. Predictive Modelling allows companies to gauge anomalies in their Supply Chain network and responds accurately given past conditions.

Predictive Modelling generally leads to two types of forecasting errors – overstocking and understocking. While overstocking creates havoc in the inventory and cash flow for all the stakeholders in the supply chain, understocking tends to make customers unhappy, making them turn towards competition.

Since any business would like to avoid the understocking situation, keeping more stock is better. However, overstocking leads to the Bullwhip effect. Excess inventory increases from retailers to wholesalers to manufacturers to vendors.

Thus in order to make Predictive Modelling more reliable, additional data other than the historical ones are required. Though used in the recent past, Predictive Analysis has proved to be of immense support to the planning team in a manufacturing set-up.

Why do Organisations use Predictive Analytics nowadays?

Most of the business houses operating in Supply Chain Management are using Predictive Analytics in the recent past to increase their profitability percentage and volume. The key reasons are the following –

The growth of the Information Technology industry has given way to the growth of more and more accurate data.
The enthusiasm to use the data for business insight has also developed multi-fold.
Availability of computers.
Availability of interactive and easy to use & understand software.
Tougher Global Economic situation.
Fierce competition and hence the requirement to create uniqueness.

Thus under this present scenario, the Predictive Analytics tool cannot have the luxury of being used by Statisticians and/or Mathematicians. Over the course of time, it has become the default tool for a Business Leader who seeks excellence in operation and also wishes to maximise the bottom line.

Important features of Predictive Analytics

The most important features for which organisations use Predictive Analytics Modelling are Detecting Fraud, Reducing Risk, Improve Operations and Optimising Market Campaigns. The model uses the feature of detecting the location of the error in the respective function; so that it may be course-corrected.

Detecting Fraud – The tool can help organisations in the detection and prevention of criminal behaviours of imposters posing as associated partners or even competitors. These are cyber crimes, which create havoc in the secured database of an organisation.

Reduction of risk – Creditworthiness (credit score, etc.) of a customer or credential (past performance records) of a prospective vendor may be worked out using these tools and hence supports de-risking of business.

Improve Operations – Organisations take the help of this modelling system in cases of asset optimisation and management of inventory and resources. In the hospitality business, capacity utilisation can be predicted for a particular time of the year. Thus hotels can plan their inventory and resources accordingly. Airlines also hike or reduce fares using historical data for a specific time of the year and can make similar arrangements for their assets, as well.

Optimising Market Campaigns – Purchasing habits including quantum and frequency may be recorded by the history data. Thus these records may be used by the organisation to make more efforts for promising customers and lesser for those expected to conclude in cold calls quite often.

Career as Supply Chain Analyst

Prospective candidates should complete an offline PG course or a Supply Chain Management Online Training prior to enrolling themselves in the Supply Chain Management Certification Course. The IIT Supply Chain Management Course at Imarticus which provides live online training will help you to become an expert in this field. The knowledge of Supply Chain Management will help the candidates understand the functional aspects of the core subject while the certification course will help them evolve as Data Scientists or Consultants in Supply Chain Management, depending on the enthusiasm, dedication and exposure of the candidates. There is no second thought that it would be a great and rewarding career.

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Managing risks in financial services: 2022 edition

Posted on November 1, 2022April 8, 2024 by Imarticus Learning

Managing risks in financial services: 2022 edition

With a mix of adaptability, the use of technology and, in the case of banks, balance sheets that had been significantly strengthened in the wake of the financial crisis, financial services organisations were generally able to weather the first pandemonium of the epidemic quite successfully. The current difficulty facing financial services companies is deciding what they want to maintain from the adjustments they made in response to the pandemic.

Although the risks that financial services companies face are institution-specific, a few high-level dangers are common to all businesses, regardless of location or industry.

Many are also choosing a career in financial services. You may ask why, well the answer is that risk in financial services provides a thorough introduction to the main risk factors in the financial services industry.

It gives a solid foundation in the principles of the risk management framework, corporate governance and risk supervision while addressing global concerns and reflecting the demands of a global market. You can also opt for PGDM in financial management. There are many courses but the IIM Lucknow certificate courses can assure you the most detailed knowledge and career security.

These are the top financial risks facing organisations that work with credit in 2022.

Credit Risk

First is the credit risk. Moreover, two years have passed since the pandemic first appeared, and more than five months have passed since Russia invaded Ukraine. As a result, the asset quality in the most fragile economic sectors is beginning to decline.

The potential for a short- to medium-term worsening of the credit risk picture for banks only serves to emphasise the importance of our supervisory goals for the upcoming two years. It is crucial that banks have strong provisioning and risk management procedures in place, especially in the area of credit risk. Credit risk analysis is absolutely essential for the survival of any financial institution or lender. Credit analysis is important for the success of many financial decisions and investments in the form of credit.

Data Management

A strong approach to data governance is becoming more and more necessary. Firms must first accept that data is a crucial strategic asset before developing a company-wide strategy for data collection, management, storage, security, retrieval and disposal. Create a business-specific approach to data governance, in other words.

Successful data governance will offer a number of advantages, including improved record-keeping, increased line of sight to risks being run in a hybrid working environment and the capacity to adhere to the recently agreed-upon reporting standards for climate risks.

Operational Toughness

The epidemic is nothing if not a test of the financial services industry’s operational resiliency. Businesses should, at the very least, think about operational risk management, which identifies ongoing threats both internal and external, as well as potential breakdowns in people, processes and technology.

Additionally, businesses must swiftly determine the critical operations’ weaknesses and manage the ensuing risks in line with the operational resilience strategy. They must also take governance, mapping of connections and dependencies, third-party dependencies, incident management and IT into account (including cyber-issues).

Compensation

This issue was immediately the first thing that the Financial Stability Board (FSB) preached after the financial emergency, enforcing supranational remuneration standards that aimed to promote better risk-conscious behaviours. This shows how important compensation, remuneration and good bonus design are perceived to be. Naturally, it was in September 2009, and the FSB is currently reviewing the overall implementation and practical impact.

The seventh progress report from the FSB examines the methods used by the biggest financial institutions in the banking, insurance and asset management industries. It highlights the uneven development of the principles and standards implementation, with banks appearing to have made more progress than insurance and asset management companies.

Conclusion

The markets are quite volatile and unreliable, especially in modern times where small trends can cause enormous ripples. A large number of threats are always developing in front of businesses. There are also dormant threats that aren’t now on our radar, and it is always essential to prematurely identify them.

A possible economic recession would have a negative impact on banks’ profits by increasing the cost of borrowing money and deteriorating asset quality. All of these elements may have an impact on financial stability and significantly lessen the likelihood that banks would survive the pandemic stronger.

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Stop looking for data analytics courses with placement: Read this instead

Posted on November 1, 2022March 17, 2023 by Imarticus Learning

Stop looking for data analytics courses with placement: Read this instead

Data analysis determines the most profitable insights from a set of data that push a company’s business growth. A data analyst uses beneficial data to solve immediate problems and simultaneously increase profits.

Data analytics careers have become crucial in the competitive global IT industry. Over eighteen thousand job openings remain in the Indian BFSI sector in 2022, with the number to only increase in the coming years. This is the right time to learn data analytics as a career option. Read on to know more about data analysis, the available courses and what they entail in addition to data analytics online training.

What is Data Analytics?

All organisations receive unsorted, raw data that need classification. Data analysis involves collecting raw data and processing it into meaningful reports for the company to benefit from. It deals with analysing the data that influence economically viable business results. To learn data analytics is to classify the needed data from the bad and pass on suggestive reports to the company stakeholders to implement the findings.

The process of Data Analysis

Post an individual can learn data analysis, their career as a data analyst should follow the five steps of work for the process to function correctly. Here are the following steps:

Identify the data crisis/question at hand

The analyst needs to identify the data problem of the company. Their goal should be to pinpoint a tentative conclusion by solving the question.

Collect the data

In accordance, the data analyst should collect a significant amount of data. They usually collect primary or secondary data from the company’s CRM software, email tools, or open-access sources.

Clean the data

Omitting unnecessary data is one of the longest and most crucial stages in data analysis. The massive data collected could be distorted, repeated, wrong or useless to the project.

Analyse the data

The data finally needs to be analysed by comparing past trends, using the specified analysis methods and questions etc. It needs to be sorted and made useful for company benefits.

Process the data into reports

Finally, the data analyst turns numbers into verbal/audiovisual remarks to the company stakeholders. The information is to be processed into a mode understandable by everyone and influences the company’s business decisions. This step also exposes the upcoming or ongoing data trends in the company.

Data Analytics courses: an overview

Here is a broad overview of some of the best data analytics certification courses and what they hold for you:

Eligibility

Other than PG specialisation degrees, there are data analytics online training courses that one can pursue. The usual eligibility criteria to pursue a data analytics course is a bachelor’s degree, preferably in computer science/statistics/engineering fields with a minimum 50% aggregate or the equivalent passing marks.

Skills

Data analysts require fantastic statistical abilities. Working with numbers and unsorted data takes up the entire time of data analysts. In addition, knowledge of different machine learning models and programming languages such as Python or Oracle is important. Lastly, they need to have a critical mindset. While analysing data, they should have command over good communication skills that helps them interact with the business stakeholders.

Job opportunities

Data analytics jobs are on the rise in the market. Almost all organisations require data science careers to support them. Various roles like statisticians, business analysts, data analysts, and even data engineers are available in the data science industry. The average salary for a beginner-level data professional is INR 11 LPA with the number only increasing.

Learn Data Analytics: courses in India

While on the search, choose the best data analytics certification course, the PG program in Data Analytics and Machine Learning by Imarticus. The course focuses on applying data science and ML models in the job market and using them in real-world business results. The PG course is an ideal bridge between graduation and deciding your career opportunities while enhancing your degree. Inclusive of capstone projects, real-life case studies and assured placement in data science, this course is a fit for data analysis online training. Book your seats now to know more.

Now, when data plays a crucial role in any globally competitive industry, data science jobs are on the rise. It includes a diverse range of career options and is a dynamic field with scopes to only increase. Data analytics online training hence is a good decision while you prepare for better career choices.

How to know if an investment banking course is worth it

Posted on November 1, 2022May 29, 2025 by Imarticus Learning

Investment banking involves a wide range of financial consultancy and its beneficial management for individual customers and organisations. As simple as the term might seem, it is one of the toughest skills to apply practically, with diverse jobs in the fields of management, finance and accountancy. An investment banking certification course is a good way of deciding which path you want to venture into.

Read on to know more about how an investment banking course is worthwhile for your career.

Investment Banking Certification Course: An Introduction

An investment banking certificate course includes the in-demand theoretical skills coupled with job-ready practical skills required to compete in the industry. The courses make one learn financial services like financial stability, asset increase, investment risk management and dealing with corporate finance. A ground-level financial markets training is also an essential part of the course. Investment banking courses include finance models, economics, MBA-related skills and other basic finance methodologies.

Here is a short introduction to what investment banking courses require and their output for the candidate.

Eligibility

To pursue an investment banking certification course before the undergraduate (UG), a candidate needs to have at least 50% or equivalent passing marks at the 10+2 level. The courses give the candidate a chance to learn financial services beforehand. Post this, they can also venture into finance-related bachelor-level degrees.

To pursue a postgraduate (PG) level course, candidates require at least 45% or equivalent passing marks in their bachelor fields. However, most PG courses require candidates to clear national entrance examinations and interviews to get into.

Course Fees and Duration

Many of the courses that include financial markets training are for a duration of 1-3 years. The certification courses are usually a year long, while the PG diploma degrees can vary for 1 or 2 years.

A certificate course in investment banking from India will range from INR 8,000 to INR 22,000 rupees, depending on private and government institutions.

Placement Opportunities and Salaries

Here are a few lucrative job profiles for a candidate post an investment banking course:

Business Analyst

A business analyst studies and determines the recent trends in the finance market to chalk up a plan for the customer/company that will benefit them during an investment and earn profits.

Finance Manager

A finance manager’s duties include spearheading the finance team in an organisation. Their job is to check finance reports, plan regular meetings and keep the team’s performance in check and communicate this to the stakeholders of the company.

Bank Branch Manager

A bank manager supervises the entire workings of the bank they are put in charge of. They are in charge of managing all finance departments in the bank wherever required.

Investment Writer

With an interesting mix of content writing and finance, the job of an investment writer is to produce finance-friendly content for a beginner as well as a versed audience. The articles they write give the audience an insight into the benefits of the organisation and why choosing it would be a good decision. An investment writer makes around INR 3-6 lakhs per annum.

The professionals related to investment banking and finance are quite well-paid. The starting salary ranges from INR 10 lakhs per annum to INR 15 lakhs with bonuses and increments. A high-level investment banker earns more than INR 35 lakhs per annum inclusive of bonuses, increments and other perks.

How is an Investment Banking Course Helpful?

A finance graduate with a knack for investment banking can choose from a myriad of options to delve into. An investment banking certification course helps them to figure out what field of specialisation they are interested to pursue. Through the courses, candidates can learn about real-life job skills while putting theoretical knowledge to use. A course hence provides an educative bridging gap between the job and degree. Candidates get to learn financial services at their own pace while only moving forward in the competition for jobs.

Adding the Degree to Skill: Best Courses in India

Job-relevant skills are important criteria when choosing the perfect investment banking certification course. Gain exposure to one of the best investment banking courses with the Certified Investment Banking Operations Professional (CIBOP) course by Imarticus. The CIBOP course comes in with a job assurance as well as exposes the candidate to important investment banking operations through 180 hours of in-classroom/online live training. Book your seats today to learn more about the investment banking industry.

In a fast-growing world highly driven by IT and finance, investment banking has become one of the key job roles. A proper investment banking certification course to learn financial services goes a long way in securing a bright, successful career in the competitive job market.