analytics courses Archives - Finance, Tech & Analytics Career Resources

Tableau: Accelerating Decision-making with the Power of Visual Analytics!

Posted on August 28, 2021March 22, 2024 by Imarticus Learning

Tableau is one of the most frequently used data analytics tools. It is used for data visualization where the data is represented in a pictorial or graphical form. The raw data is converted into an understandable format by Tableau which can be further used for data analytics.

Firms use Tableau to understand the data and to use data analytics for empowering their business. Tableau helps in decision-making via forecasting, analytics, risk assessment, etc.

Let us see more about Tableau and how it helps in decision making & data visualization.

Importance of Visual Analytics

Visual analytics is the analytical reasoning of data via interactive visual interfaces which in this case is Tableau. Visual analytics helps in understanding the data better, finding outliers in the dataset, discovering insights, etc.

You can identify new opportunities for your business if you are visualizing your data via a good platform like Tableau. The benefits of using Tableau for visual analytics are as follows:

Tableau has excellent visualization capabilities and it helps in converting unstructured data into absolute logical results that are interactive. It is far better and powerful than its equivalent tools available in the market.
The easy-to-use interface of Tableau provides data analysts to work faster and better. The drag-and-drop way of arranging unstructured data into diagrams and graphs makes it easier for beginners.Tableau is powerful and provides high performance of big data sets too. Beginners can easily complete Tableau training in less time and can get fluent in using it.
You can create a unified dashboard on Tableau where you can connect to multiple data sources. You can connect your dashboard with Hadoop, SAP, DB, etc., and can visualize data better.
There are a lot of Tableau users throughout the globe and one can find a helpful Tableau community on online forums. Tableau also provides a mobile application through which you can keep your visualized data at your fingertips.

How Tableau Accelerates Decision Making?

Tableau helps in visualizing and analyzing data. The structured data can be used for risk identification & management, increasing ROI, business forecasting, etc. You are well informed about your firm’s situation via data analytics and get to know about the upcoming market trends. You access the risk involved in any new opportunity via data analysis and then obtain it if is going to boost your business.

Data analysis introduces clarity in your organization with a data-driven approach to obtain business objectives. Decision-making is hugely impacted via the use of data visualization tools and you will stay ahead of other firms in the market.

One can easily create and share analytics reports to your employees via Tableau, giving a sense of clarity. You can also use customer data to provide better services to them in the future. One can complete Tableau training online to understand how to use it.

Conclusion

Tableau is a powerful data visualization tool that can boost your business with better market predictions & risk assessment. Recent innovations in data analysis due to AI & machine learning have taken data analysis to a next level. You can learn more about data analysis via analytics courses available online. Start using Tableau for your business now!

Secure Your Finance & Analytics Careers With Imarticus!

Posted on October 21, 2020April 1, 2024 by Imarticus Learning

With the growing commercial and technological advancements in the global markets today, Finance and Analytics are quickly becoming one of the most lucrative careers in the business world. Finance & Analytics play a major role in data evaluation for businesses to streamline decision-making processes.

They mainly inform the investment decisions of the companies by researching the microeconomic and macroeconomic situations with the organization’s principles. The professionals in these fields also prepare financial models that project future economic conditions.

Many businesses also hire them to evaluate the efficiency of their marketing techniques in comparison to the cost using numerical data. They also work in franchise-based businesses to track the individual franchise or a group and evaluate their positive and negative points to speculate the growth of the business.

Importance of Finance & Analytics

In this competitive world, businesses today need on-time data to formulate decisions for business. Every company needs good financial and analytics planning to utilize its resources in the best way possible.

The changing needs of businesses and the emergence of new models are making it crucial for companies to have sound Finance and Analytics professionals that help them improve their decision-making

Shape the business goals and plans for optimal performance. The Finance courses and Data Science Course with Placement help businesses to run efficiently and attain their aims fast.

Scope of Finance & Analytics

The careers in these fields are highly coved in the business industry with a good pay scale. The professionals in these fields have ample job opportunities in sectors like banks, pension, insurance companies, mutual funds, and securities firms, etc. Since they assist people in their financial decisions and investments, they can also open their own offices and work as self-employed.

They can also do accounts, auditing, taxes, and prepare financial statements. They can also specialize in other segments like Cost accountancy. The work scope of Finance and Analytics professionals also includes tasks like account management, secretarial work, share valuation, etc.

Job Opportunities

The wide scope of Finance & Analytics allows professionals to find employment in a range of sectors. They can find job roles under the following titles:

Financial Analyst
Chartered Account Trainee
Analyst – Back Office
Accounts Trainee
Assistant Consultant – Business Analyst
Junior Financial Analyst
Management Trainee – Finance
Research Analyst – Option Strategist

The pay range in these roles is also good. The average pay of a Financial Analyst in India is around INR 40,000. With experience, this number multiplies manifold.

Educational Requirements

To build a substantial career in these fields, one needs to have in-depth knowledge along with a good practical skill-set.

For this, students can join vocational programs in Finance and Analytics from reputed institutions. Imarticus is one such renowned organization that is offering courses in these subjects to train students and make them job-ready for the business world. By learning these courses students get:

Guaranteed job interviews
Comprehensive, industry-approved curriculums
Hands-on, experiential learning with cutting-edge technology
Training by industry experts and veterans
Extensive career support and assistance
Certifications accredited by world-class organizations
… And so much more!

Learning with Imarticus

Imarticus Learning is organizing the ‘Great Indian Futuristic Talent Drive’ offering good discounts on its various courses for the festive season from 21st October – 27th October 2020. You can avail of the following discounts by registering in the drive:

Fee Waiver on PG Classroom Programs – Up to 25% off

Fee Waiver on Online ProDegrees – Flat 20%

Fee Waiver on Classroom CIBOP & ProDegrees – Flat 15%

With the online learning mode of Imarticus, you get the facility to learn at home.

Thus, keeping safe during the pandemic and productively using your spare time to upskill yourself for an excellent career.

Pursue a Career in Data Science: Why Is This The Perfect Time (COVID – Pandemic)?

Posted on August 6, 2020March 26, 2024 by Imarticus Learning

In a recent article published by LinkedIn, the organization reported a 25% increase in the number of data science professionals in India alone. On a global scale, this number is close to 37%. If you have been wanting to pursue a career in data science, then now is the right time to chase that dream, and in today’s article, we will tell you why?

Let’s get started.

Why Should You Pursue a Career in Data Science in 2020?

Post the COVID-19 crisis, the world has shifted to a completely remote work environment, and as predicted, the amount of data that is available now for collection has increased rapidly. As companies keep collecting a variety of different data sets, the need for expert data scientists are swiftly on the rise.

The key concept behind this rise being, companies, need experts to analyze the data that is being collected and conclude decisions which not only contribute to short term gains but also long term business advances for the business.

Along with this, since the demand for such roles is on the rise, companies are willing to spend more to hire the best talent in the market, thus increasing the overall pay of the profession.

Some of the most common designations you can explore in this field include the following:

Data Engineer
Data Analyst
AI Product Manager
Data and Analytics Manager
Database Administrator
Business Analyst

How to Get Started With a Career in Data Science?

Now that you know the why of why you should pursue a career in data science, along with a few of the designations you should pursue, let us explore how you can kick start your career.

21st century is one of the hottest times to pursue a career in data science since millions of job openings are being posted on the regular. While having a degree in science or engineering is a good foundation to pursue a career in data science, if you truly want to stand out, one of the best things to do is to get a professional certification from any of the top recognized companies.

While one of the most obvious advantages of having a certification in data science is the edge it gives you over thousands of applications; the underrated advantage is making it easy for recruiters to spot your talent and choose for the right role.

Conclusion

2020 is a cornerstone in shaping how big data analytics will be used in the future, and thus the decisions you make today on how to pursue and shape your career in data science will determine your success in the future. With technologies such as big data, machine learning and artificial intelligence being readily used by the small to medium scale businesses around the world to increase their capabilities, the need for skilled professionals, who can swiftly analyze this data and extract meaningful insights will be on a constant rise.

In 2020, if you choose to pursue a career in data science, it can easily be estimated that your future will be secure for the next generation.

We offer data science courses at our centers in Mumbai, Thane, Pune, Ahmedabad, Jaipur, Delhi, Gurgaon, Bangalore, Chennai, Hyderabad, Coimbatore.

Popular Tools to Analyze Data

Posted on December 20, 2018March 24, 2021 by Imarticus Learning

Big Data is now an inevitable part of how many companies operate. While we all leave our footprint on the internet, companies ranging from IT to manufacturing firms are reaping the benefits of data analytics.

Knowing how to extract the information and trends, you require from the vast pool of data is imperative. Data analytics courses lets companies leverage this information for creating new plans, products, trends, offers, and more.

There are many tools that can be used effectively for analyzing data. Each of these tools has their own benefits and strengths. Once you are familiar with the capabilities of these tools, you will be able to employ the right tool for the right analysis. Tools for data analysis can be categorized into three main types.

Open Source Tools

KNIME

KNIME Analytics Platform is one of the most popular choices available to data scientists. It lets you model and manipulates data with more than 1000 modules, ready-to-run examples, a comprehensive set of integrated tools, and a large collection of advanced algorithms.

RapidMine

This tool is similar to KNIME in that it is a visual program. This tool has a unified environment making it easy to run through the entire gamut of the analytical workflow. You can use this tool for everything from data prep to machine learning to model validation to deployment.

Tools for Data Visualizations

Datawrapper

This is an effective tool used by news rooms around the world to create easy understand graphics and interactive charts. During elections, for example, newsrooms will plug in data collected by various resources and journalists on the ground to create charts that the layman can use.

The data can be populated according to race, ethnicity, age, gender, qualification, and more in order to understand the trend of the elections. Politicians in turn can use the same data to understand where they have popularity and with whom their ideologies resonate.

Google Fusion Tables

This is an amped up version of Spreadsheets backed by the powerful mapping tools of Google. You can use preexisting tables and combine two or more tables to create a visualization for both sets of data. You can choose to map, graph, chart the data which can then be shared or embedded into any page. This tool is great for collaboration as all the data organisation is saved on Google Drive.

Sentiment Tools

SAS Sentiment Analysis

Going back to the elections example, sentiment techniques can be used to assess sentiments in real time. The SAS tool extracts and interprets sentiments in real time or over a time period that you can specify. The tool features natural language processing and statistical modelling. The language processing is rule-based, and so you can choose the specific trend or emerging topic. This tool can be used to find the current feeling a population has towards a particular electoral candidate. This can be further developed to reflect the sentiments based on age, employment, gender, and sexual orientation.

Opinion Crawl

This is a great data analytics tool for all data scientists. It allows you to get sentiment analysis based on topic. This could be a person, a real-time event, a company, a product, or more. This tool provides the data in the form of a pie chart representing the real-time sentiment of the topic along with related images, a few headlines, and, most importantly, key semantic concepts related to the topic according to the public.

Role of Analytics in today’s Scenario!

Posted on December 26, 2015March 5, 2024 by Imarticus Learning

Role of Analytics in Today’s Scenario!

The role of Business Analytics has evolved over the years. Although analytics has been around for a long while, it wasn’t until the last 5 to 10 years that its importance in the business field has been realized. It was in the last 10 years that technology has been revolutionized and we now produce about 2.5 quintillion bytes of data every day.

This is more data than what was collected in two years previously.

This data comes from everywhere: sensors used to gather climate information, posts to social media sites, digital pictures and videos, purchase transaction records, and cell phone GPS signals to name a few. This data is big data. What has also changed in the last decade is that we now have the means to sift through these 2.5 quintillion bytes of data in a reasonable amount of time. All these changes have major implications for organizations today. This emphasises more on the role of business analytics in today’s times.

In organizations, analytics enables professionals to convert extensive data and statistical and quantitative analysis into powerful insights that can drive efficient decisions.

Therefore, with analytics, organizations can now base their decisions and strategies on data rather than on gut feelings. Moreover, with the rate at which this data can be analyzed, organizations can keep tabs on the customer trends in near real-time. As a result, the effectiveness of a strategy can be determined almost immediately. Thus, with powerful insights, analytics promises reduced costs and increased profits.

With a sudden surge in the analytics industry, there is a tremendous increase in the demand for analytics expertise across all domains, and throughout all major organizations across the globe.

This adds to the importance of Data Analytics courses and how the youth must pursue a career in Data Analytics.

IBM’s recent study revealed that “83% of Business Leaders listed Business Analytics as the top priority in their business priority list.”

Deloitte has mentioned in its study that – Decision makers who can leverage everyday data & information into actionable insights for the growth of their organization by taking reliable decisions, will find themselves in a much better position to achieve strategic growth in their careers.

Importance of business analytics

Organizations employ Business analytics so they can make data-driven decisions. The role of business analytics helps any organisation with an excellent overview and insight into how companies can become more efficient, and these insights will enable such businesses to optimize and automate their processes. It is no surprise that data-driven companies, that also make use of business analytics usually outperform their contemporaries. The reason for this is that the insights gained via business analytics enable them to; understand why specific results are achieved, explore more effective business processes, and even predict the likelihood of certain results.

Business analytics also offers adequate support and coverage for businesses that are looking to make the right proactive decisions. Business analytics also allows organizations to automate their entire decision-making process, to deliver real-time responses when needed.

One of the apparent importance of business analytics is the fact that it helps to gain essential business insights. It does this by presenting the right data to work it. This goes a long way in making decision making more efficient, but also easy. This is another reason to make a promising career in data analytics.

Efficiency is one area of business analytics that helps any organization to achieve immediately. Since its inception, business analytics have played a key role in helping business improve their efficiency. Business analytics collates a considerable volume of data on time, and also in a way that it can easily be analyzed. This allows businesses to make the right decisions faster.

Business analytics help organizations to reduce risks. By helping them make the right decisions based on available data such as customer preferences, trends, and so on, it can help businesses to curtail short and long-term risks.

There is an information overload in today’s world and data analytics helps to cut out the clutter to help businesses make safe and smart choices.

Summary

We can conclude that Business Analytics is a field that holds a lot of potential & importance in the way any organisation operates. It indeed is the best time to make a career in Data Analytics. You can always check out our Data Analytics courses to know more.

Tag: analytics courses