November 10, 2021 – Finance, Tech & Analytics Career Resources

What Are The Ways To Advertise on Digital Platforms?

Posted on November 10, 2021March 26, 2024 by Imarticus Learning

The number of smartphone users in India is estimated to go over 760 million in 2021. For you, this might be a simple statistic but for an organization, it’s a lucrative opportunity.

Why is that?

That’s because companies can utilize digital marketing to reach these users and generate new customers. The rise of smartphone users and the internet has caused an uptick in the demand for digital marketing implementations.

Whether you’re interested in taking online digital marketing courses or want to promote a business, you’ll find the following points useful as we’ll cover the various ways companies promote themselves on digital platforms:

Social Media Promotions

Social media ads are among the most popular ways for companies to promote themselves online. All the prominent social media platforms allow marketers to run ads to reach more customers. It’s their primary source of revenue.

Search Engine Marketing

Google and other search engines offer businesses to rank for specific keywords by paying a certain fee. This is called search engine marketing, and companies use it to attract specific customers.

For example, if you search for “online digital marketing courses”, you’d find many web pages with ‘Ad’ written before their URL. They are all paid results and are a result of search engine marketing.

Content Marketing

Another way of promotion is through creating content that people search for. It’s called content marketing and it’s also a highly popular section of digital marketing.

Here, a company creates content that its targeted audience usually looks for. For example, if you’re a digital marketing student, then you’d probably find a guide on digital marketing quite useful. Content marketing helps companies in attracting new customers without spending a lot of money.

How to start a career in Digital Marketing

Certainly, there are numerous methods for a company to reach new customers by utilizing digital marketing. Hence, the demand for digital marketing professionals is sky-rocketing.

If you want to pursue a career in digital marketing, then you’ll need to learn the fundamentals of marketing and the various technologies used in digital marketing. The best way to do so is by taking digital marketing training.

You can join a digital marketing course, which would allow you to learn directly from experts. Taking digital marketing training would also help you get certified which would help you apply for relevant roles in different organizations.

On the other hand, if you want to learn a specific aspect of digital marketing, then you can take a different course. For example, if you want to become an SEO expert, then you’ll need to take an SEO course online. An SEO course online would teach you the required concepts to become an SEO professional.

However, before you join a program, be sure to check its details such as the digital marketing course fees.

Conclusion

There are many ways for an organization to promote itself online. From social media platforms such as YouTube and Instagram to search engines such as Bing and Google, companies have many options to choose from when it comes to digital marketing.

If you want to become a professional in this field, then you should take a digital marketing course. You can head to our site to get more info such as digital marketing course fees and requirements.

Why do organizations emphasize on delivering business value through efficient procurement and logistical management?

Posted on November 10, 2021November 10, 2021 by Imarticus Learning

Looking for the best logistics and supply chain management course on the block? Before you choose the supply chain Management course that suits you, understand why efficient procurement and logistical management are vital for organizations in the first place.

Procurement and logistics are two of the most common terms that you will hear in a business environment. While procurement refers to sourcing supplies, logistics means the holistic process of acquiring resources from their origin, managing them, and transporting them to the point of consumption.

But why do organizations emphasize procurement and logistics management to deliver business value? Let’s find out.

Why is Procurement Management Important?

Procurement management entails overseeing all the processes involved in sourcing the materials, products, goods, and services required for business operations to run efficiently. The terms “purchasing,” “sourcing,” and “procurement” are often used interchangeably to describe the procuring of supplies and management of the process. However, it is “procurement” and “purchasing” that essentially refers to the operational function, while “sourcing” is usually more strategic.

Procurement management has a direct impact on strategic business operations and the company’s bottom line for the following reasons:

Procurement management ensures the proper acquisition of items and services so that processes and projects can proceed efficiently.
Procurement management can be instrumental in sealing valuable production and supplier contracts.
It can also set the stage for new and innovative processes and help domestic and local businesses go global.
When optimized, procurement management can save time, money, and resources while offering a competitive advantage.
By actively pursuing diverse suppliers, procurement management can be at the forefront of trailblazing CSR initiatives to promote diversity and inclusion.

Why is Logistics Management Important?

What earlier used to be a term restricted to military operations has now become a widespread business concept. Today, the business sector uses the term logistics to describe the efficient flow, storage, and management of goods from their source to the point of consumption.

Here’s how logistics management is critical to stay competitive and keep pace with customers’ demands:

Managing logistics significantly reduces overhead costs, increases productivity, and ensures faster delivery.
Logistics is the foundation of a successful supply chain. It helps boost the sales and profit of businesses dealing with the production, warehousing, shipment, and delivery of products.
The analysis of a company’s supply chain management data improves efficiency. Using a transportation management system to track the movement of goods in and out of a business optimizes the process and minimizes disruptions.
Well-managed and organized logistics ensure fast and seamless product delivery to customers.
Last but not least, efficient logistics management improves customer service, meeting and exceeding customer demands. It enhances the brand image and helps the business attract and retain long-term customers.

What to Look For in a Logistics and Supply Chain Management Course?

If your goal is to get a professional certification in Supply Chain Management and Analytics, there are several online courses that you can choose from. While each of them claims to be the best, ensure that the program caters to your professional needs.

For example, the course curriculum should cover key programming languages and tools such as Python, Excel, and TOra, and hands-on training in real-world SCM projects. Overall, the course must be robust enough to prepare you for the operations and supply chain industry with a cutting-edge curriculum and industry exposure.

Top 5 Hard Skills Required to Become a Merger and Acquisitions Senior Analyst

Posted on November 10, 2021April 1, 2024 by Imarticus Learning

Mergers and Acquisitions are among the most important events in the corporate sector. And, obviously, with such an important event comes a position of equal importance. Mergers and Acquisitions analysis is a high demanding job that leaves no place for error. And, because as long as the corporate sector as a whole remains, it is a surety that mergers and acquisitions will keep on happening, it is also a guarantee that a mergers and acquisitions analyst will be needed no matter the time.

So, if you want to pursue a fruitful career in this sector and give your future the flourish it deserves, then the best option for you would be to do a proper merger and acquisition analyst course, chartered financial analyst course, or SWOT analysis course.

A lot of institutions offer a solid merger and acquisition analyst course in India. Such an institute is Imarticus Learnings.

It not only provides a compact financial analysis prodegree but also comes with placement opportunities that give you the chance to land your dream job right from the get-go.

However, there are a few skills that M&A analysts must possess. Here, we are going to talk about them.

Finance Modelling and Valuation Techniques

The job of M&A analysts is to assess prospective companies in the field to acquire or merge with. They need to evaluate both profits and losses of a merger for all the parties included. So, obviously, they need high-level skills of financial modeling course helps them chalk out the goals and the means to achieve them.

Another important skill analysts should have is to be able to put the correct value to each aspect of a merger. They need to determine as precisely as possible the appropriate premiums needed for acquisition.

This is why they must always stay ahead of industrial knowledge and analyze all the recent value reports of events.

This is one of the reasons why students with a degree in chartered financial analyst course or SWOT analysis course get high preference in this field.

Flawless Pitch Books

Another skill analysts must have is making flawless pitch books. It is important to present all the information and stats regarding the merger to all the parties involved appealingly.

Accounting Prowess and Industrial Knowledge

As these deals often tend to cost millions, the analysts must have accounting prowess so that they can keep a check on all the transactions made. Analysts also need core industrial knowledge as all mergers and acquisitions made are very industry-specific.

Staying up to date with International Corporate Scenarios

A good analyst should always stay up to date with international corporate scenarios. As mergers are a common event for businesses both local and global, a deep understanding of the function and process goes a long way to help clients.

In-depth Knowledge of Industrial Law

This is possibly one of the most important skills needed in an analyst. A good analyst should be acquainted with all the laws that need to be regarded during a merger and acquisitions process as any error can lead to serious legal trouble for everyone involved.

Conclusion

A merger and acquisitions analyst has no room for error and should always be at least two steps ahead of everyone to guide them properly. And, the only way to do that is by learning the process completely. Imarticus Learnings brings to you a great opportunity with its financial analysis prodegree that will help you get the boost you need in your career.

Why artificial intelligence and machine learning is the new blue print for the data science industry

Posted on November 10, 2021November 10, 2021 by Imarticus Learning

Data science is a broad discipline concerning data systems and processes with the aim to maintain data sets and derive insights from them. On the other hand, Artificial Intelligence (AI) pertains to mathematical algorithms that can replicate human thought processes to understand complex relationships, plan for the future and make actionable decisions.

Machine Learning (ML), on the contrary, helps to implement AI by “training” computers to solve various tasks. Data science incorporates several areas of artificial intelligence and machine learning while primarily focusing on gaining insights from data.

But, how are these three fields related, and what is the impact of AI and ML in shaping the data science industry? Let’s find out.

Data Science, AI, and ML: Where Lies the Difference?

Data science finds widespread use in several businesses to improve production processes, innovation of product design, and enable strategic planning. It involves techniques of mathematics, statistics, computer science, and even ML to extract knowledge from data and provide insights and decision paths.

On the contrary, AI enables computers to observe their environment and make decisions based on what they observe. Some of the most widespread uses of AI include processing clinical data, creating chatbots and smart assistants, and financial planning. Add the machine learning component, and AI can enable computers to solve new problems such as classification and predictions.

The fields of data science, AI and ML overlap significantly and yet have subtle differences. In a nutshell, data science gives insights, AI produces actions, and ML facilitates predictions.

The Combined Effect of AI and ML on Data Science

Data science and data analytics have long been revolutionizing the business landscape. Companies that have mastered their use of data science and analytics aim to delve deeper into data to increase efficiency, boost their bottom lines and gain a competitive edge.

Thus, they are looking to incorporate AI and ML into their data infrastructure to achieve business goals. For instance, call centers have long been using conversation analytics software, platforms that leverage AI and ML to gain better data insights.

Following are a few more examples to show how AI and ML combined with data science make a remarkable difference to organizations:

Conversational AI systems such as chatbots and smart assistants engage in highly interactive conversations with customers and users and capture actionable user insights in the process.
Predictive analytics applications enable the analysis of dynamic datasets to make financial predictions, forecast business trends, customer behavior, etc.
Hyper-personalization systems enable customized offerings to customers, such as product recommendations, targeted advertising, personalized medical care, and financial planning.
Also, organizations can consistently respond to evolving threats, thanks to anomaly detection systems that leverage the potential of adaptive fraud detection and cybersecurity processes.

The business value of data science alone cannot be understated. However, integrating it with the tools and techniques of AI and ML has way more potential to produce actionable insights from the ever-expanding data pool. In conclusion, AI and ML have been impacting the data science industry for a long time and will continue to do so in the foreseeable future with even more ground-breaking innovations.

How to Learn AI?

Looking for an artificial intelligence course? There are several AI and ML courses available online with extensive coverage of data science, ML, NLP, deep learning, and computer vision. But before you settle on a course, ensure that the curriculum offers practical learning through real-world projects, has scope for ample industry exposure, and provides a globally recognized certification after course completion.

Top Cryptocurrency Exchanges in India of 2021

Posted on November 10, 2021 by Imarticus Learning

With the market’s exponential growth, it is not surprising that India has also seen an increase in its number of crypto exchanges. With 1.3 billion people, India will be one of the leading countries trading over the next decade. This blog post reviews some top trades in India worth investing in now or keeping an eye on as they grow.

What are cryptocurrency exchanges?

Cryptocurrency success has led to the creation of crypto exchanges. It is a platform where investors can purchase and trade cryptocurrencies like Bitcoin (BTC). Crypto exchanges allow you to own several cryptocurrencies without having to invest in expensive mining rigs.

Top 6 Crypto Exchanges in India:

CoinDelta

CoinDelta is one of the leading exchanges in India that also has low trading fees. The site features an intuitive user that makes it easy for new investors to understand and experience. It was launched in December 2013, which means it has more than three years of experience in the Indian market.

2. Coinsecure

One of India’s most popular exchanges recommends the ideal exchange for traders wishing to invest in Bitcoin. The site supports multiple languages and has an easy-to-use trading interface with simple buy/sell options, live charts, etc. Although their fees are a little higher, they offer a fast and straightforward trading experience.

BitBay

Based out of Poland, this exchange is not well-known in the Indian market; however, it offers some great features that make it one of the top exchanges around. It supports multiple fiat currencies and has an easy-to-use interface with advanced charting tools and several trading options.

Coinome

An Indian exchange backed by the famous Bitcoin trading company, Zebpay, offers some impressive features that make it one of the top exchanges in India. It provides an instant account creation facility and has multiple payment options, high liquidity, and low fees.

Koinex

One of India’s most popular exchanges, Koinex, offers some exciting features that make it stand apart from its competitors. It supports multiple cryptocurrencies and has live updates on the homepage with real-time order books and instant deposits. The site also has an impressive trading app for Android devices.

WazirX

With over 300,000 registered users on its beta launch in October 2018, WazirX is one of the newer exchanges in India. However, as a new exchange, it has some impressive features and plans to expand its range of tradable cryptocurrencies. It offers high liquidity and low fees, along with an easy-to-use interface and excellent security features.

Explore and Learn with Imarticus Learning

The Professional Certificate In FinTech, developed by SP Jain School Of Global Management and Imarticus Learning, is Asia’s leading FinTech course. Hands-on training from industry professionals, real-world case studies, projects incorporating technologies like Blockchain and Cloud Computing, and significant interactions with FinTech industry leaders and entrepreneurs are all part of this course, making it an attraction for those eyeing a career in Crypto.

Some course USP:

This Cryptocurrency course is with placement assurance aid the students to learn job-relevant skills that prepare them for an exciting career.
Impress employers & showcase skills with a certification endorsed by India’s most prestigious academic collaborations.
World-Class Academic Professors to learn from through live online sessions and discussions. It will help students understand the 360-degree practical learning implementation with assignments.

Why Linear Regression is Important for Data Scientists & How to Learn It?

Posted on November 10, 2021August 31, 2023 by Imarticus Learning

Linear regression is a powerful predictive modeling technique that enables the statistical analysis of continuous variables. It is the most popular technique for estimating relationships between inputs and outputs.

This post discusses linear regression, how to use it in data science, and why you need to know about it as a professional data scientist. Now let’s dive into the topic!

What is Linear Regression?

We start this section by defining linear regression. Here, in simple words, it is an approach to estimate the relationship between the input and output. It simplifies the modeling process and produces more interpretable results. When you need to make predictions on new data, Linear discriminant analysis is a better option for making predictions on new data points (i.e., test set) because of its solid statistical foundation and mathematical proofs of performance guarantees.

Why is Linear Regression Essential for Data science?

For a Data Scientist, it is essential to know and understand the concept of linear regression and how to use it. This section provides some reasons why it is critical for data scientists:

When you don’t know which variables are important: In many real-world problems, no one tells you which input variable(s) affect the output variable. In cases where you have access to historical data, it is possible to find the relationship(s) between input and output variables (i.e., linear regression).

When your model needs linearity assumption: Incorporating nonlinearities in the prediction function requires complex modeling techniques like applying polynomial transformations or neural networks.

How can we use linear regression?

Here are some common scenarios where we use in the industry.

You can predict the price of a house/cars/robots etc., indicating loan eligibility for an individual based on his salary. How many items will you sell tomorrow? What time of the day am I likely to buy something?
Estimating Expected Weight of a baby based on mother’s weight during pregnancy, Estimating the passengers who will purchase tickets for an airline, etc.
Now you can solve all these real-world problems with linear regression!
Linear regression is a beautiful yet straightforward statistical technique to estimate the relationship between input and output variables. In other words, it helps you to find a function that best explains the relationship between input and output variables.

Input features = house size, car speed, age of a person, flight duration, etc

Output variable = price of a house/car/flight ticket etc

Explore Data Science career with Imarticus Learning

Students can master the fundamentals of data analytics and machine learning and the most in-demand data science tools and methodologies. With Tableau, you can learn Python, SQL, Data Analytics, Machine Learning, and Data Visualization. With this program’s job assurance guarantee, students may take a significant step forward in their career.