Contact Us
×

Tag: data analytics career

How does Data Analytics help to Detect, Assess and Prevent Fraud in 2021?

Posted on by Imarticus Learning

Fraud is a major problem in today’s digital world. Whether it is data analytics or data sciences, data analytics has become an integral component of fraud prevention. Data analytics is the process of data manipulation to identify patterns and predict trends based on data sets. The data can be in various formats like text, audio, video, images, or even data generated by sensors.

data analytics coursesIn simple words, data analytics is a data-driven approach to help you make better decisions. It helps organizations detect, assess, and prevent fraud in 2021. Data analytics courses are the latest trend among MBA students because data is so important to every aspect of life today.

This blog post will discuss how data analytics can help us detect, assess, and prevent fraud in 2021!

How does Data analytics help to detect, assess and prevent fraud in 2021?

In today’s data-driven world, data analytics has become an integral part of financial services. While data is not new to the industry, collecting and processing it at scale did pose a number of challenges in past years. However, with advancements in technology and data storage capabilities, data analytics as a tool for fraud detection has gained prominence within banks, especially after the 2008 economic meltdown.

Nowadays, organizations are generating large amounts of structured/unstructured data from various sources like customer service calls, social media platforms, etc., which can be analyzed using tools like machine learning, artificial intelligence (AI), predictive modeling, or deep learning algorithms, among others to predict potential threats on their business operations including risk management strategy thereby reducing operational costs & improving profitability by increasing revenue streams through better data-driven decisions.

However, data analytics is not just about data storage and analysis of unstructured data to identify anomalies within the data sets; it also focuses on methods that can be used by organizations to prevent frauds in real-time – a key area where financial institutions are looking at for growth opportunities as demand from millennial customers increases for mobile banking and increased online transactions via e-commerce portals among other channels.

In order to support their digital transformation journey & build a robust risk management strategy, banks and other institutions have started investing heavily into analytics capabilities by hiring data scientists and data analysts to leverage the power of data for fraud detection in real-time.

According to a recent report by MarketsandMarkets, the global data analytics market was valued at $16.06 billion in 2016 is expected to reach $73.47 billion by 2021, growing at a CAGR of 28% during the forecast period from 2017-2021.

Some key areas where data analytics is being used extensively include: 

Customer profiling– understanding customer behavior patterns using unstructured data sets such as social media posts or email communication logs;

Fraud Detection– monitoring transactions on data sources across data systems and data formats to identify suspicious activity;

Risk Assessment– showing the correlations among data sets of different entities within an organization or between organizations.

This is a great opportunity for anyone who wants to learn data analytics, as there are plenty of job opportunities for data specialists.

Learn data analytics with Imarticus Learning

Imarticus Learning offers data analytics courses in India that help professionals from diverse backgrounds understand concepts of data analysis. This course enables you to analyze large amounts of data using various methods such as statistical tools, pattern recognition, etc.

data analytics courses

Thus, you’ll be able to solve complex problems related to web intelligence, predictive modeling & simulation techniques or extract information quickly with minimal time lag through the Business Analytics course.

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

Data Analytics in Healthcare: Can a Techie Succeed in The World of Medicine?

Posted on by Imarticus Learning

In the modern-day, Information Technology has seeped into all sectors. Industries have adopted Data Science and Analytics to drive their work and have reaped the rewards for it. In the paradigm where Data Analysts are highly sought after in all sectors, how do they fare in the field of Healthcare?

 

Big Data Analytics courses are the perfect way for techies to break into the medical sector. It has become a tool with unlimited potential, and a Data Analytics career in healthcare is a very real and prospective opportunity.

Data Analytics is generally used to draw meaningful interpretations, find trends and predict possible outcomes from Data.

Healthcare Analytics specifically aids in avoiding preventable diseases, conducting an accurate diagnosis, predicting and combating epidemics and coming up with effective treatment strategies for diseases.

A Healthcare Analyst contributes to improving the quality of healthcare and reducing the treatment costs by automating tedious processes.

Applications of Data Analytics in Healthcare

There are many applications of Data Analytics in healthcare, and a career in the field works to implement these uses. Some of the most popular applications are:

Patients’ prediction: Healthcare Analytics can be leveraged to improve patient predictions. The past admission records can be used to discover hospitalization trends, peak times and deploy personnel accordingly.

Strategic Planning: The existing data can be used to identify patterns, conduct studies and map out strategies for extensive care and in community medicine.

Electronic Health Records:

It is one of the most popular uses of Data Analytics in Healthcare. It is used to track patient medications, treatments, progress, and medical history. Data Analytics on these can reveal more details about their medical conditions and lead to more accurate prognoses.

Predictive Analytics: Predictive Analytics is the practice of recognizing patterns and predicting probable outcomes by studying the data presently available. This can be used to improve care delivery for patients with complex medical history by using history to try and predetermine the conditions they may face in the future.

Data Analytics Careers in Healthcare

The applications of Big Data analytics in medicine are vast, and more are being uncovered every day. In this scenario, techies are being welcomed into the sector with open arms. Healthcare employs techies as Data Analysts, Informatics Consultants, Clinical Data Managers in the Quality and Performance improvement sector.

One can also get promoted to leadership positions for other Analysts as Informatics Director or Chief Medical Information Officers. All these positions come with their responsibilities as well as perks. The roles and responsibilities would also entail assistance in the proper integration of data analytics within specific healthcare areas.

Conclusion

A career as a healthcare analyst is a door that opens infinite possibilities. Not only do you get to save lives as a part of the field, but you also get to innovate and change medicine in your way.

Mining and Visualizing Data: Important Skill required in Data Analytics

Posted on by Imarticus Learning

Data analytics is one of the fastest-growing fields in today’s business landscape. Data analysts across industries are being tasked with data mining and visualization for different purposes like data interpretation, data analysis, etc.

data analytics certification course in IndiaAs a result of this, there’s a high demand for professionals with the data analytical skillset. There are data analytics courses that teach you data mining and data visualization.

These skills are indispensable in the data analytics landscape. If you want to be successful, it is absolutely necessary to learn this skill set.

In this blog post, we will talk about the important skills required for data mining & visualization and how to find a good data analytics course that offers them!

Key skills required for data mining and data visualizing

As a data analytics specialists, important skills you must have to apply for data mining & data visualizing jobs are:

Data Mining: Evaluating data to determine what kind of information it has and how a particular data can be used for various purposes (i.e., analysis). To analyze the data that you want to extract from a database or spreadsheet, tools like SQL queries help find specific patterns within large sets of data. You need to know about the kinds of algorithms available such as linear regression for analyzing relationships between variables recorded over time or clustering techniques applied when investigating groupings in your data set.

Data Visualization: Achieving insights into complex datasets with accurate representation through graphs, charts, etc. This includes designing insightful visualizations without sacrificing data accuracy. For this, you must have knowledge of data visualization techniques like data smoothing to make data trends more visible or data clustering for creating informative thematic maps.

Data Analytics: The application of statistical analysis to data in order to reveal patterns and trends that can be used for decision making, modeling future data, etc. For this, you need knowledge about the various analytical techniques like linear regression or time series forecasting, which are then applied to data sets in order to make predictions with mathematical models.

Understanding these important skills will help you think critically and understand how data analytics is done!

How to find a good data analytics course?

– The course should teach data mining, visualization, and advanced SQL skills.

– It should also have a good rating and be well-reviewed by existing students.

– A course with thorough programming exercises is preferable to one that just offers lectures or videos.

– The institution needs to provide a certificate of completion for the student in order for them to become certified data analysts, as many institutes are providing the courses without any certification.

If you are looking for a data analytics course that has all the above-mentioned features, then Imarticus Learning is for you!

A Rewarding Data Analysts Career with Imarticus!

best data analytics certification courses in IndiaKnowing the need for new-age careers & the potential of online education, Imarticus offers certification courses in data analytics for beginners and advanced levels.

If you want to further your career in data mining & to visualize data, and have a leg up over other applicants, getting a certification in data analytics is your best option. An advanced degree with various specializations at Imarticus will add credibility to your profile and position you as an efficient professional.

For any further details, contact us through the Live Chat Support system or visit any of our training centers in Mumbai, Thane, Pune, Bengaluru, Chennai, Hyderabad, Delhi, Gurgaon, and Ahmedabad.

Most Essential Asset for Professionals: Data Analytics Tools!

Posted on by Imarticus Learning

To perform data analysis, professionals use tools & software that ensure the best results. There are many of them in the market, but a few are on the top list for data analysts that need to be chosen wisely to extract the best benefit. 

This article discovers the best data analyst tools and highlights key features of each based on different types of analysis processes. But first, here’s a basic definition & introduction.

What Are Data Analyst Tools?

Data analyst tools are applications & software that data analysts develop & perform analytical processes to make better, informed business decisions while keeping costs low & profits high.

Top Tools Used by Data Analysts?

1. Business Intelligence Tools

BI tools are the most represented means to perform data analysis. Specialized in business analytics, they prove beneficial for every data analyst to monitor, analyze, and report essential findings. Self-service, advanced SQL modes, and predictive analytics make them easily adjustable to every level of knowledge without immense IT involvement. 

DATAPINE covers most requirements from beginners & advanced users.

Key Features:

  • Visual drag-&-drop interface
  • Powerful predictive analytics & interactive charts & dashboards
  • Intelligent alarms triggered for anomaly

2. Statistical Analysis Tools

There exist multiple programming languages that make work easier & effective. With the expansion of languages, some rules and scenarios need special attention for statistical data analysis & modeling.

R PROGRAMMING is the most popular tool for data analysts.

Key Features:

  • An ecosystem of more than 10k packages & extensions for data analysis
  • Statistical analysis, modeling, & hypothesis testing
  • Active community of researchers, statisticians, & scientists

3. General-Purpose Programming Languages

Programming languages help to resolve a variety of data problems. Tools like C#, Java, PHP, Julia, Ruby, and Python are many reliable solutions.

PYTHON is the most trusted tool.

Key Features:

  • Open-source solution with simple coding processes
  • Easy integration with other languages
  • Advanced analysis processes through ML & text mining

4. SQL Consoles

SQL is a programming language used to manage data held in relational databases, effectively handling structured data for analysts. Highly popular in the data science community, these tools are used in various business cases & data scenarios. 

MYSQL WORKBENCH is the most popular one.

Key Features:

  • Unified visual tool for data modeling, administration, SQL development, backup, etc.
  • Instant access to the database via Object Browser
  • SQL Editor offers color syntax highlighting, reuse of SQL snippets, & execution history

5. Unique Predictive Analytics Tools

Predictive analytics is an advanced technique to combine data mining, AI/ML, and predictive modeling to predict future events. It is an essential data analysis tool as it simplifies predictive analytics processes. 

SAS FORECASTING is an analysis software helpful for predictive analytics processes & helps analysts to predict future scenarios.

Key Features:

  • Automatic forecasting for entities or products, including hierarchical forecasting
  • Scalability & modeling to create an ensemble
  • An unlimited model repository including time-series & casual methods

Apart from the tools mentioned above, there are industry-specific analytics tools & data science platforms that assist professionals. A business analytics course can help you better understand what data analytics is!

Build New-Age Career with Imarticus:

data analytics coursesImarticus Learning offers Data Science Courses, the most extensive, industry-approved experiential learning program ideal for Data Analysts. 

Industry experts have developed the programs to help students learn real-world applications of Data Science from scratch & build robust models to generate valuable business insights and predictions.

Take a giant career leap with this analytics program.

For more details, contact us through the Live Chat Support system or visit our training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, Hyderabad, Delhi, and Gurgaon.

#ImarticusBlogLikeAPro – Write about your favourite Tech topic and take home rewards worth INR 10,000

Posted on by Imarticus Learning

Love Data Science, Machine Learning, or Data Engineering? Here is your chance to express your thoughts on the field of technology of your choice. While professionals can discuss the various tools, techniques, and best practices involved with their daily work, business leaders can speak of industry experience. Candidates are free to write about the current state of the discipline as well as the future potential of the field.

One can even choose to write about the effects of certain technology and the incredible benefits society and businesses enjoy due to these fields.

data science and analytics blogging contestThe Imarticus Blogger of the Year encourages budding bloggers or younger candidates to participate and write about the topic of their choice as well. You can participate in this Data Analytics and Data Science blogging contest by applying here.

What is Imarticus Blogger of the Year?

The main focus behind this contest is for providing enthusiasts with the opportunity to express what they wish to share about the field of their interest. Blogs can also speak about research, new technology, and interesting case studies of all the relevant fields.

Fundamentally, Imarticus has come up with this contest to provide some exposure to bloggers and professionals who are involved with Data Science and other disciplines that work with data. Candidates are also authorized to discuss core concepts such as Deep Learning or talk about diverse fields such as Data Analytics.

The Submission and Selection Process

The submission process followed by the selection process for this Data Science blogging contest can be divided into 6 simple stages. Let’s understand what exactly you must do in order to successfully submit your blog and how exactly the winners of the contest are decided.

Stage 1: First, participants are required to register themselves and opt-in for the contest. Then, you must write a high-quality blog related to the authorized topics or fields and then send the piece over to blog@imarticus.com before the 31st of August. Submissions close on the 31st of August, 2021 at 11:59 PM IST.

Stage 2: During this stage, the editorial panel will be evaluating the blog based on its creativity, originality, and depth of the subject matter.

Stage 3: Here, every blog that has met the minimum requirements and passed Imarticus’s quality standards shall be uploaded on the platform (blog.imarticus.org) by the 11th of September this year. The writers will be credited for their blogs and the links for their respective blogs will be shared with them by Imarticus.

Stage 4: In this stage, writers are recommended to share their blogs on their personal social media accounts with the mandatory hashtags. Writers are also advised to share their pieces with friends and family in order to gain more traction.

Stage 5: At this point, all the blogs will be evaluated on the basis of audience engagement and the score provided by the editorial panel. 25 of the best blogs shall be shortlisted to be promoted by Imarticus on all social media platforms till the 30th of October, 2021.

Stage 6: This is the final stage where the blog with the highest amount of cumulative shall be selected as the winner of the contest.

Conclusion

The winner is crowned the Imarticus Blogger of the Year and handed down a gift voucher of 10,000 rupees. Imarticus Learning is also offering gift vouchers of up to 7500 rupees for the other top 10 bloggers. Not just that, participants who rank within the top 20 get the opportunity to be featured in Imarticus’s hall of fame. So, why wait? Register yourself and start blogging from today.

How To Become Data Analyst After 12th?

Posted on by Imarticus Learning

Data science, especially data analytics, is becoming the most desired job in the world with time. With multiple job positions and abundant opportunities, it is only wise to opt for data science courses after 12th or graduation. Students aspiring to be data analysts need to have a clear picture of how to become a data analyst and what data scientists do.

The first thing that an aspirant needs to know is that data analytics is a subset of data science, and hence knowing what is data science is paramount to learning what data analytics is.

Why a career in data analytics?

 

As data is becoming the most essential commodity to organizations worldwide, it is only wise to opt for a data science course in India. There are many benefits of data science courses and the most important one is that you can start a career in data analytics.

Business analytics courses will also boost the knowledge of a candidate in data analytics as it will help in understanding the domain better. Before understanding the requirements let us list the benefits of a job in analytics:

  • There are many job opportunities in the domain. Thousands of vacant positions are only waiting to be filled by qualified candidates
  • The salary of a data analyst is even higher than that of an IT professional
  • There are different domains within data analytics that can be a great option for career and salary growth
  • A challenging and stimulating work environment with a great work-life balance
  • An elite lifestyle

What are the requirements to become a data analyst?

You can opt for data science courses after 12th for UG. But, there are further options to start a data science course in India even after UG at PG or doctorate levels. You can also opt for certifications and diploma courses after the 12th.

At the postgraduate level, you can opt for a specialization in computer management and computer science to start your analytics career.

For pursuing a postgraduate program, a bachelor’s degree with a minimum of 50% marks is required, preferably in computer science or data science and from a recognized university.

Apart from educational qualifications, several soft skills like analytical and numerical skills are important for pursuing a career in data analytics. Further, a deep and thorough understanding of computer software and programming languages including querying languages (like Hive, SQL, and Pig), scripting languages (including Python and Matlab), statistical languages (such as R, SPSS, and SAS), and Excel is a must.

Besides, data analysts must possess problem-solving and interpretive skills to explain and present the process of data analysis and its results to decision-makers.

A data analytics course can help a student after 12th to bag high-paying jobs like data scientist, data engineer, database administrator, data analyst, and data architect. If you want to expand your job horizon, then you can even choose to do business analytics courses to end up in even higher positions with better commissions.

Customer Data Mapping, Engagement and Developing Trust with Data Analytics!

Posted on by Imarticus Learning

Data analytics is the new talk of the town. You might be planning to learn something online and wondering if you should do a data analytics course or a certification in data analytics, then this article will tell you the reasons to learn data analytics online and how in every business sector data analytics is getting more relevant every day.

To ensure the success of any business, developing trust and ensuring customer satisfaction has always been a key recipe. The introduction of analytics in customer data mapping has completely transformed the way businesses engage with their customers and win their trust.

With proper customer data utilization using analytics, businesses are able to engage customers in a more personalized way. Many organizations are reaping the benefit of using analytics to improve customer engagement.  Analytics allow using intelligence in the customer data to provide tailor-made offerings. Several factors like using various data sources, well-developed core analytics capabilities and integration of AI and IoT into processes make this possible.

Key trends in customer engagement using analytics:

Growth is likely to continue:

More companies have started using analytics for better customer satisfaction, and this percentage is growing each year.

Analytics going to be the main driving force:

This has been observed that organizations that are more experienced in using analytics than their competitors are able to gain more trust and provide more customer satisfaction.

Analytically experienced are using more data:

data analytics courses in IndiaAnalytically experienced organizations tend to use more data from all possible sources when compared to lesser experienced organizations.

Data sources, like customer, vendor, regulator, and competitor data, and data types, like mobile, social, and public data, all are getting used and playing a major role.

Key points for better customer mapping

Data source and data types:

Large in volume and variation ensures quality data. When different types of data like mobile, social, and public data are collected from various sources like customers, vendors, regulators, and competitors, analytics can lead you to a more accurate forecast.

Integrated system:

By using the data-based dashboard while fixing your customer strategy, the scope of guesswork comes down to null. Data analytics systems integrate into existing infrastructure with minimal effort and without a need for overall change. Integrating new data and analytics into the existing model improves your customer service.

Innovation to turn customer mapping into customer satisfaction

Data mapping using analytics takes traditional data mapping to a whole new level. This works as the best foundation for decision-making. These strategic changes could include social media strategy, website upgrades, and many other things.

Building profiles using Analytics

Analytics helps to identify each client independently, based on their intercommunications throughout their journey with the business. Businesses can then trace and gather precious data for future use. Analytics can build individual customer profiles using this data based on real-time action, habits, and inclinations.

Importance of Qualitative data

Few analytical tools support solutions that take qualitative data into account. Knowing how happy customers are, key phrases they use, or survey feedback are all forms of qualitative data. Quantitative data analytics and qualitative customer experiences must be equally prioritized to ensure a better result.

Prioritization of personalization

Incorporating customer journey analytics into strategy is important. Using analytics, the appeased customer is going to receive can be personalized and segmented. When customers receive more personalized and relevant content, they are likely to be more interested.

Conclusion

If you want to learn data analytics online, then Imarticus offers you a data analytics course and certification in a data analytics program that you might be interested in.

best data analytics courses in IndiaMapping customer data, understanding the buyer’s persona (a fictional identity of a buyer based on customer data), and going the extra mile to meet the customer’s demands can really help businesses, and data analytics is the way to go.

Keen To Develop A Solution That Will Predict User’s Online Training? Imarticus Could Help You Develop The Right Expertise

Posted on by Imarticus Learning

Online user behavior is something e-commerce and target marketing has been relying on. What helps them predict online user behavior is machine learning and Artificial Intelligence.

The user interest and the pertaining trend help the business and marketing team to anticipate the changes and take the necessary steps for improvement. This change is a trendsetter that has urged many other fields to use the same mechanisms to study its users.

data analytics and artificial intelligence courses in IndiaEver since the online training process gained popularity finding out what the users’ needs became crucial to set up the right kind of courses and setting up the ideal curriculum to nourish their careers.

Predicting user’s online training

Getting the correct feedback on the online learning process is significant to know about what the users are interested in. It helps refine the curriculum and also helps introduce more useful courses to increase the chances of a better career.

Predicting a user’s online training interest requires some specific expertise but it doesn’t involve a single field of study. It requires a collection of subjects that are part of data science. In order to be an expert in predicting user interests, these are the fields of technology that one must master.

  • Artificial Intelligence: User prediction using AI is done through developing models and algorithms that provide a predictive outcome. It is also one of the primary objectives of this technology.
  • Machine Learning: ML is the branch of AI that helps with the computational part or where the machines are made intelligent to work like human brains. BY processing the machines one can help find the relevant data to create a reliable predictive analysis to find out the user interest.
  • Deep Learning is that part of AI that functions as human brains where it recognizes speech, language, objects, etc and that also helps in decision making. Using these factors creates a prediction model that has near-accurate validity. In fact, it is one of the most popular careers at the moment.
  • Natural Language Processor NLP is using technology to understand the common and natural language used by humans. It involves compiling data and processing it appropriately through mathematical, linguistic, or statistical methods. It is just a collective term for multiple steps. Moreover, it uses most of the above mentioned technologies as well.
  • Computer Vision is another branch that works on perspective analysis using videos and images. They help with replicating the visual system in humans and automate the tasks accordingly.

How Imarticus helps?

Imarticus offers various courses in Artificial Intelligence that includes Deep Learning, Machine Learning, Natural Language Process, Computer Vision, etc in the curriculum. It makes a foundation for predictive analytics. The course duration ranges from 2-8 months depending upon the user’s choice. Both online and classroom options are available for most courses.

Analytics and Artificial Intelligence coursesAnalytics and Artificial Intelligence Courses in India are open to both freshers and working professionals. They can select the relevant option when opting for the course. The courses are termed PG-courses and Pro-Degree courses respectively.

Keeping in mind the time constraints for the professionals, the pro degree courses may be completed in a shorter span of time.

Not only do they provide quality courses but also provide opportunities to work with giants such as IBM and others. Both types of courses have this partnership option for hands-on experience.

Analytics and Artificial Intelligence courses in IndiaSuch hands-on courses enable the users to polish their knowledge and make them borderline experts in their respective fields, even for an entry-level.

Conclusion

The learning process at Imarticus includes a program mentor who gives proper guidance and support for the academics. Moreover, the placement assistance at the end of the course increases the prospects of landing the right job.

Unlocking The Future of Financial Analysis with Advanced Analytics!

Posted on by Imarticus Learning

Advanced analytics involves using advanced methodologies like data science, data set analysis, and automation processes to understand business trends. It is no surprise that advanced analytics is changing the landscape of business as we know it. But, how is it doing so?

Financial Analyst CourseThis article will help you find the answer to this question and more. The following points will cover advanced analytics, its relationship with financial analysis, and how to learn financial analysis 

What is Advanced Analytics?

Advanced analytics uses statistical methods, predictive modeling, process automation, and machine learning (ML) techniques that are well ahead of conventional business intelligence tools to analyze the required data. Advanced analytics employs data science and its sophistical techniques of analysis to forecast future trends and predict the probability of potential occurrences.

Simple analytics and BI can only give a snapshot of an organization. On the other hand, advanced analytics allows you to predict future trends or the most probable outcomes of a business decision. It equips you with a wider range of capabilities so you can overcome the issues present in conventional analytics.

How Advanced Analytics Enhance Financial Analysis?

Advanced analytics expands on the technologies and techniques used in business intelligence and analytics by incorporating more sophisticated methods. It can improve any implementation of analytics including financial analysis. Some of its prominent applications in the financial sector are:

Automating financial analytics

Financial analytics consists of many procedures such as creating datasets and updating the existing ones. It also involves data collection and generating reports. Advanced analytics training can help in automating all of these procedures.

By using advanced analytics, you can build datasets that can update their macroeconomic data automatically. This includes inflation, basic interest rate, and other data points. Similarly, it can help you collect data from financial statements automatically by using APIs.

Making predictions

Financial forecasting is a major aspect of financial analytics. Companies rely on it to make crucial decisions, evaluate risk, and analyze investments. Advanced analytics utilizes machine learning models that can help you perform predictive analysis.

You can build models that can adapt to the changes in financial and economic domains automatically and can make recommendations based on their insights to help in decision making.

Advanced analytics improves the data collection process by using more sources and completing the task much quicker.

Optimize current implementations

Using advanced analytics can help businesses improve the efficiency of many of their processes. It allows them to automate multiple procedures which require staff and time. Automated tasks have fewer chances of making mistakes as machines do not get fatigued. Companies can allocate the time and resources saved by all of this in other areas that require more attention.

How to Learn Financial Analysis?

Financial analysis has many applications for advanced analytics. The field is ripe with opportunity and the technology is relatively new. It allows companies to get ahead of their competitors and become a leader. Due to these reasons, the demand for a skilled financial analyst who is familiar with advanced analytics implementations is exponentially high.

The most effective and efficient method to become a financial analyst is by taking a financial analyst course. A financial analyst course will help you learn the skills required to become a professional in this field and get certified. It offers a structured curriculum so you can learn the subjects in a timely manner and plan your studies accordingly.

Taking a course will help you stand out from your peers and become a preferred candidate for financial analysis roles.

Financial analytics is a broad sector and the rising popularity of advanced analytics is transforming this field considerably. If you are interested in becoming a financial analytics professional, you must have a strong grasp of advanced analytics. It would help you boost your career growth.

Imarticus Learning Launches Weekend Batches of Post-Graduate Program in Data Analytics for Working Professionals

Posted on by Imarticus Learning

There have been a lot of ups and downs in the corporate world throughout recent years.

However, the position of data analyst or data scientist has stayed secure throughout these tumultuous times. This is one of the major reasons why there have been lots of students opting for a data science course in India. It can help you to work with a lot of renowned brands, or even help you to build your startup from scratch by letting you assess the risk-taking capacity of your company.

This is one course that can help you to pursue your dream career, and Imarticus learning is here to save your day with a data analytics course with placement offers as their new PG program for working professionals with weekend batches.

 What is a Data Analytics course?

Data Analysis comprises different technicalities and tools to extract and analyze data in a way that helps you to determine how a company works and how you can make it work better towards its goal in the future. A proper data analytics course would give you the knowledge of descriptive and advanced analysis by means of machine learning in a way that would enable you to process data through natural language processing, neural networks, sentiment analysis, and other advanced tools.

This way you will be able to find anomalies and changes in the market trends, answer questions and make predictions that would help the company to determine the profits and losses from an investment and interpret what kinds of investments they should make in the future.

 Benefits of Data Science courses in your career

 Whatever turmoil the corporate industry faces from different market trends, this is one job that never goes out of trend. This is why it is labeled as the hottest job of this century. In the financial year 2021, the data analytics market grew by $45.4 billion, which is around 26.5% more than last year.

This field is estimated to contribute 41.5% to the IT sector by 2026. Not only yours, this job literally can also make or break a company’s reputation. So here are a few ways how data science courses can benefit your career.

  • It is one of the sectors with an overabundance of positions with predictions of having an even bigger impact in the corporate sector in the future, so you will never have to worry about going out of jobs.
  • The payscale matches your work output, so you will never have to complain about getting the short end of the stick.
  • Being one of the most versatile fields, this course can help you to work in almost any kind of industry from healthcare to e-commerce services. So, literally a dream job.

Conclusion

The future of the data science industry is standing on firm ground and blooming with opportunities. This is why the number of students wanting to learn data science courses in India as well as globally has increased by leaps and bounds.

Whether you are a student or a working professional wanting to polish your skills, as always, Imarticus learning has come forth with this golden chance of weekend batches for PG program in data science course with placement from big companies to kickstart your career.