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Tag: Data Analytics course with placement

Why Power BI is Essential for Data Scientists and Analytics Professionals?

Posted on by Imarticus Learning

In this present data-driven world, the field of data science has gained immense popularity.

Data scientists & analytics professionals are in high demand as organizations seek valuable insights from vast amounts of data.

Professionals in these fields require powerful tools to analyze and visualize data effectively. One such essential tool is Power BI.

The Growing Demand for Data Scientists and Analytics Professionals

The demand for skilled Power BI for data scientists and analytics professionals is rapidly increasing as businesses rely on data to drive decision-making processes. These professionals play a crucial role in collecting, analyzing & interpreting data to uncover patterns, trends, and insights that can drive business growth. 

By 2026, the US Bureau of Labor Statistics predicts a substantial increase of 27.9 percent in employment opportunities demanding Data Science skills.

With the exponential growth of data, organizations are looking for efficient ways to manage and make sense of the information.

What is Power BI?

best big data analytics course

Power BI, developed by Microsoft, is a powerful business analytics tool.

It enables users to connect to various data sources, transform raw data into interactive visualizations, and share insights across the organization.

Power BI offers a user-friendly interface and a range of features that empower data scientists and analytics professionals to explore data, discover hidden patterns, and communicate insights effectively.

Benefits of Power BI for Data Scientists

Power BI provides several benefits that make it essential for data scientists:

  • Data Integration: Power BI integrates with diverse data sources, including databases, cloud services, and online platforms. This enables data scientists to access and analyze data from multiple sources within a single environment.
  • Interactive Visualisations: Power BI offers rich visualization options, allowing data scientists to create interactive dashboards, reports, and charts. These visualizations help present complex data in a visually appealing and easily understandable manner.
  • Advanced Analytics: Power BI incorporates advanced analytics capabilities, such as statistical modeling, forecasting, and clustering. Data scientists can leverage these features to gain deeper insights into data and make accurate predictions.

What role does Power BI play in data analysis for professionals in the analytics field?

For professionals aspiring to build a career in data science, having expertise in Power BI provides a significant advantage.

Power BI skills are in high demand across industries. Employers value professionals who effectively utilize Power Business intelligence to analyze and visualize data, making them valuable assets in data-driven organizations.

Power BI Features for Analytics Professionals

Power BI offers a range of features specifically designed for analytics professionals:

  • Data Modelling: Power BI allows analytics professionals to create robust data models by defining relationships between data tables. This helps organize data and enables efficient analysis.
  • DAX (Data Analysis Expressions): DAX is a formula language used in Power BI to create custom calculations and aggregations. Analytics professionals can leverage DAX to perform complex calculations and create custom measures for their analysis.
  • Data Security: Power BI provides robust security measures to protect sensitive data. Analytics professionals can define role-based access controls and implement data-level security to ensure data confidentiality.

How Power BI Simplifies Data Analysis

Power BI simplifies the data analysis process for data scientists and analytics professionals in several ways:

  •      Drag-and-Drop Interface: Power BI’s intuitive drag-and-drop interface makes it easy to import and manipulate data without writing complex code.
  •      Automated Refresh: Power BI can automatically refresh data from various sources, ensuring the analysis is always current.
  •      Natural Language Queries: Power BI enables users to ask questions in natural language to generate visualizations and insights. This feature allows data scientists and analytics professionals to explore data interactively and get instant answers to their queries.

Integrating Power BI with Other Tools and Platforms

Power BI seamlessly integrates with other tools and platforms, enhancing its capabilities for data scientists and analytics professionals. It can connect with tools like Excel, Azure Machine Learning, and SQL Server Analysis Services, enabling users to leverage existing workflows and combine data from multiple sources for comprehensive analysis.

Power BI vs. Other Data Visualisation Tools

While several data visualization tools are available, Power BI stands out due to its unique features and capabilities. 

When compared to other tools, Power BI offers the following:

  • Ease of Use: Power BI’s intuitive interface and drag-and-drop functionality make it accessible to users with varying technical expertise.
  • Scalability: Power BI can handle large datasets & can scale to meet the needs of enterprise-level data analysis.
  • Integration with Microsoft Ecosystem: As a Microsoft product, Power BI seamlessly integrates with other Microsoft tools and services, creating a unified ecosystem for data analysis and reporting.

The Future of Power BI in Data Science and Analytics

As the demand for data-driven decision-making continues to grow, Power BI is poised to play a crucial role in the future of data science and analytics. Microsoft continues to invest in Power BI, introducing new features & enhancements to meet the evolving needs of data professionals. With its ease of use, powerful capabilities, and integration with the Microsoft ecosystem, Power BI is expected to remain an essential tool for data scientists and analytics professionals.

Ending Note

Power BI certification and training programs are vital in enhancing the skills & knowledge of data scientists and analytics professionals. These programs validate an individual’s proficiency in Power BI and provide valuable credentials for career advancement. 

One renowned institution that offers comprehensive training in data analytics, including Power BI, is Imarticus Learning. Their Data Analytics course with placement covers a wide range of topics, providing participants with a solid foundation in data science and analytics. 

Enrolling in the Data Analytics course in india with placement by Imarticus Learning opens doors to a successful career in data analytics. Graduates and professionals looking to transition into the field can benefit from the extensive curriculum covering essential topics such as data analytics, business intelligence, and data visualization. The course equips participants with the necessary skills to thrive in the dynamic field of data science and analytics.

The Data Analytics course focuses on Power BI and comprehensively explains various analytical tools, techniques, and methodologies. By acquiring a diverse skill set, participants can excel in different areas of data analytics and make valuable contributions to organizations across industries.

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How is data science changing the world?

Posted on by Imarticus Learning

The popularity of data science boomed in the post-2010 period. It has been there for years. Most of the people who have versatile skills have been at work with it for years. But where were they lagging? The speed of the computers was one of the areas where development was still required. The second area where they required a bit of initiative was with the type of apps that were being created. Slowly, with the help of better processors, which were also very quick and had good computation capability, we were able to make a breakthrough in AI and ML. This was extremely beneficial from the view of data science and analytics as well. Companies also understood the importance of collecting user data. They had started in the 1990s, but it was only now that we could see the results. The FAANG companies’ success is living proof of that.

There’s a big scope for analytics in big data as it finds many applications in this domain. According to Jeff Bezos and Mark Cuban, analytics will be a big player in the coming decade, especially in e-commerce. The increased use of machine learning in analytics systems could use the precious personal data of the customers that companies collect to give purchasing suggestions has miraculously transformed the shopping experience. Not only that, social media giants such as Facebook, and Twitter, along with various dating apps, are also utilising user data to optimise the media feed posts or potentially match people on their systems.

What are the various job roles in the field of data science?

Here are some job roles that you will be eligible for with data analyst training –

  • Data Architect

The responsibility of data architects is to create a database system(s) and then maintain it for the preparation and processing of analysing data. To understand and develop the database system’s architecture, they must first comprehend the process of building models. Then they have to use machine learning techniques for wrangling raw and unstructured data into a more usable form. For this, you need to know the highest level of python and database coding. An average data architect could earn anything in the range of ₹12,50,000 – ₹20,00,000 annually.

  • Machine Learning Engineers

Machine learning engineers have to rely a lot on software engineering backgrounds. So, they need to know the basics of coding, data structures, algorithms, and a lot about being able to know about self-learning and unsupervised learning systems. Their main job is to make a computer learn independently from the data and the observation. They help in the development of Machine Learning models which can perform a specific action but involve the gathering of data primarily. They need to have advanced knowledge about such data interpreting models, focusing on statistical computing, data visualisation and data mining. Machine learning engineers can expect a salary of around ₹12,50,000 – ₹20,00,000 annually.

  • Data Scientist

Data scientists have responsibilities like using data analytics tools to extract the information from the gathered data sets and inferring them to make better decisions. Currently, they are required in every industry, and businesses hire such professionals to make business decisions that can amplify their organisations’ growth.

Data scientists also need to know about machine learning. Still, they also require visualisation tools like Tableau or various graphical libraries of Python to process the information to arrive at a decision. In India, the average salary of data scientists is somewhere between ₹8,00,000 – ₹20,00,000 annually.

Opportunity In a Changing World: Data Analytics Course with Placement

Data Analytics is one of the best careers in the present times. To tell the truth, it is highly beneficial because it teaches you two of the most important skills that you will need in the future. The first is knowing how to analyse the data and have an insight into something with its help. The second skill is coding which is so important in today’s time. Beyond 2022, these two skills will pay dividends, both in terms of monetary benefits and their use in the real world. Therefore, one needs to have data analyst training if he/she is interested in building a career in a growing sector.

What do you need to study to become a data analyst?

A PG in data analytics would be the appropriate certification. This certification should cover R or Python for interpreting the data into graphs. Make sure you pick up the relevant libraries. SAS could also be helpful for statistics. Then if you want to enter the field of Big Data, Apache Hadoop could also be relevant to Data Analysts. Tableau and Excel are a must for analytics because of the various tools that come with the package.

Imarticus Learning offers the best data analytics course with placement. With the help of this course, you can now explore the world of data analysis with the help of industry experts and gain knowledge on the nits and grits of this field. Also, this PG course in data analytics and machine learning assures placement.

To sum up, hopefully, you have received an outlook on how the world of data analytics is emerging and what the future holds for this domain. Also, how completing the data analyst training can help you adjust to this changing world and supports your career in the coming years. 

The anatomy of a data analytics course with placement

Posted on by Imarticus Learning

Data Analytics deals with the analysis of raw data for coming to conclusions about data that an organisation has acquired or for identifying various trends and patterns. A data analytics course with placement will help you to learn and understand the anatomy of Data Analytics and how it can benefit your career so that you can get good placements. The Data Analytics techniques and methods work on certain algorithms that deal with raw data with Artificial Intelligence. The involvement of machine learning is also of prime importance.

customized corporate training

Read along to get a brief idea of why you should take the Data Analyst certification course and how it can benefit you to boost your career.

What is Data Analytics?

Data Analytics is the process of collective transformation and organisation of raw data so that a data analyst can conclude out of it to get the desired results. It also helps the organisation to have a better decision-making process and make predictions for future operations. In today’s time, a career in data science is a flourishing one and if you want to become a data scientist or data analyst, then you need to understand what are the benefits of learning Data Analytics.

A Data Analytics course with placement can help you gain the following advantages:

  • Data Analytics helps to deliver business needs in a proactive and anticipating manner.
  • Data analysts help to mitigate the risk factor in an organisation.
  • As the data is properly understood and analysed, the results that are derived from it are always more accurate.
  • All the financial, physical and intellectual assets of the company with the help of good security measures.
  • Data analysts help an organisation make good investments and have productive results.
  • With the help of data analysis, a company is more responsive and personalised in its services.
  • Data Analytics improves and optimises the customer experience so that companions do not lose any customers.

Anatomy of Data Analytics

The factual information that you collect from multiple sources in the form of a physical or digital format is known as data. The anatomy of Data Analytics can be understood when you know about the division and classification of data. Data can be classified as follows:

Qualitative data

The non-numeric data which is all about properties and characteristics is known as qualitative data. It is generally collected by labelling, observing, listening or watching an object. Project management uses a lot of qualitative data. Qualitative data can be generated as follows:

  • By conducting interviews.
  • By translation of symbols.
  • By image processing.
  • By making observational notes.
  • By listening to multiple audios.
  • By watching video recordings.
  • By looking at documents and notes.

Quantitative data 

The numeric data that is statistical, conclusive, countable and measurable in nature is called qualitative data. it provides a clear picture of the aspects of numerics. Quantitative data can be in the following forms:

  • Metrics
  • Market research
  • Tests and experiments
  • Surveys

Structured data

Structured data is the type of data that is present in an organised and standardised format that is easily readable and searchable. Structured data is much easier to work with and this type of data is more concise and accurate. Some examples of structured data are as follows:

  • Dates and names
  • Data related to product user
  • ERP system data
  • Bank account numbers and statements
  • Identification numbers

Unstructured data

Unstructured data is not available in an organised and standardised format. It cannot be easily searchable or readable and it is difficult to understand. This type of data is generally present in long formats. Some examples of unstructured data are as follows:

  • SMS
  • Emails
  • Audio and video files
  • Social media posts
  • Text exchange on social media

Responsibilities of a Data Analyst

to understand the anatomy and working model of Data Analytics and to have a career in data science, you must know what are the rules and responsibilities that a data analyst has to perform. A data analyst certification course may help you learn these. the roles and responsibilities of a data analyst are enumerated as follows:

  • Ascertain organisational objectives by working closely with the data scientists and IT management teams.
  • Use standardised statistical tools and techniques to analyse the result.
  • Extract data from multiple sources, mainly primary and secondary ones.
  • Constantly thrive for process improvement and identify different means to do it.
  • Identify designs, patterns, trends and correlations in different data sets.
  • Create and design RDBMS and data systems.
  • prepare data reports and visual representations so that they can be presented to higher management.
  • Solve data-related issues and code problems.

Conclusion

Data Analytics Course With Placement

To become a Data Analyst, enrol yourself on a Data Analytics course with placement so that you can kickstart your career in the said field. Learn the Data Analytics course by Imarticus so that you will be able to make data-driven decisions. Proficiency in Data Analytics will help you to reach milestones in your career. 

Finding The Data Analytics Course To Fit Your Needs

Posted on by Imarticus Learning

What is Data Analytics?

Data analytics includes extracting valuable information from data. It refers to the examination of data to find patterns and trends. You can put data analytics to use in multiple areas.

It can predict future trends, optimise business processes or even help decision-making. Using the online course on data analytics, you can tell tales of your journey from joining the best data analytics course to placement.

Data analytics is a powerful tool utilised in almost every field, from healthcare to marketing. It is mainly used in the business world. Businesses use data analytics to understand their customers better, improve their products or services and make smarter decisions.

What are the Best Data Analytics Courses in the Market?

Data analytics is a field that is growing at an exponential rate. It is only imperative to keep up with the latest developments and trends. The best data analytics courses are updated regularly and focus on practical skills. They should also be taught by industry experts who have experience in the field.

Many data analytics courses are available online, but most are not worth the money or time. The best data analytics courses will teach you how to use the latest tools and techniques for analysing data and apply these skills in real-world scenarios.

Professional industry experts teach the best data analytics courses in the market with years of experience. These courses are designed for online learners wanting to learn from the comfort of their homes at their own pace. Learn data analytics from your remote location through a course covering every area dynamically.

Data analytics is a skill that can be learned by almost anyone willing to take it up. Some of the people who can learn data analytics are:

Business Professional

A business person can use data analytics for marketing and customer insights.

Marketing Professionals

As someone with a marketing niche, you can use data analytics for customer analytics, product analytics, social media analytics, etc.

IT Professionals

As an IT professional, you can use data analytics to monitor and identify trends.

How to Choose Which Data Analytics Course Fits Your Needs

Data analytics is a field that is multiplying. It is a crucial part of the modern business process as it helps companies to make better decisions and improve their performance. Hence, you must choose the right course for your needs. There are many courses available online, but not all of them offer equal benefits.

The best way to find the right path for you is to research and compare different courses. Ensure to check the reviews, ratings and feedback from students who have already taken the course before you decide on your choice. The first step is deciding on the type of data analytics course you need. Many types of data analytics courses are available on the market, each focusing on a different area and providing different skill sets.

If you wish to learn the specifics of data analysis software, you should take an online course to use that particular software. If you want to know how to create your models and predictive analytics, then a more general approach would be more appropriate for your needs.

This model offers a more extensive model for determining why one should take up a data analytics course:

It helps you extract meaningful insights from data, which you can use to make decisions that can positively impact an organisation.

You learn various techniques and tools required to work with data sets, including statistical analysis and predictive modelling.

You learn to use various programming languages, such as Python and R.

Start Learning Today With the Best Data Analytics Course for Your Needs

We reside in an age where data is ever-growing. And with that, the demand for data analytics professionals will also increase. Besides, many people are looking to start learning data analytics today. And if you are one of them, then you should know that there are many different courses for your needs. However, if you are looking for a course handpicked explicitly for your needs, then you can go for the data analytics online training. With the growing demand for professionals, there is no better time than now to invest in your future as a data analyst.

Here’s How Creating a Data Analytics Culture Can Start Changing the Conversation About Data

Posted on by Imarticus Learning

A data analytics culture is beneficial in the current times. Data is generated in every business and when rightly used, it can benefit the entire company. The change in the conversation around data can start from PGA programs. A well-rounded data analytics course with placement ensures that students are able to make data-driven decisions. It also encourages a data analytics culture from a very early stage.

How to Create a Data Analytics Culture

Candidates with data analytics certification can use their expertise to introduce this in companies that are yet to embrace data analytics. To create a data analytics culture, one can use the following points.

  • Ask Team Leaders to Use and Promote the Data Analytics Culture

Team leaders need to understand the use of data analytics and promote the culture among their team members. The stakeholders of a company also need to assess how a data analytics culture will enable business development based on data-driven decisions. Once the employees see the leaders promoting this culture, they will be more inclined towards following the same.

  • Introduce Data Democratization

Data democratization enables inexperienced employees to analyze data for their own use. It makes data more accessible and when introduced, it can help employees become more productive.

  • Set Achievable Goals

When the data analytics culture is set up in a company, it should focus on showing what usable and available data looks like and how the company can benefit from the analysis of that data. These are the basic goals that should be set. As stakeholders and employees start understanding the culture, other goals can be set that is based on the utilization of data analytics in different departments.

  • Organize Data Literacy Workshops for All Team Members

Data literacy involves teaching teams to utilize and analyze data for the benefit of the business. Companies can conduct sessions or hands-on workshops so that employees become more comfortable in applying the available insights for the overall improvement of the company. Data scientists can be asked to conduct these sessions and help departments benefit from the use of data analytics.

  • Obtain Constructive Criticism and Positive Feedbacks

Positive responses to a new culture can make it easier for employees to transition, especially if there has been a pre-established method of working. Constructive criticism can also help to build the culture and optimize business processes that benefit from data analytics.

  • Boost Employee Morale and Get More Benefits

While data analytics can help with business development, it needs to focus on the employee community as well. Employee performances can be analyzed. The insights generated can be used to improve interactions and optimize their daily tasks. This will boost morale and encourage them to work better.

Bringing Change in Conversation About Data

To introduce the use and analysis of data in every sector, the conversation needs to change. The best way to ensure that more people are aware of the impact of data analytics, one can encourage students to engage in the study of data science and analytics.

Imarticus Learning offers data analytics certification for graduate students who wish to learn about the implementation of analytics. The curriculum of the postgraduate program in Data Analytics and Machine Learning is created and monitored by industry experts. Therefore, students can work on several industry case studies that allow them to understand the practical uses of data analytics.

Imarticus Learning’s data analytics course with placement is a great way to start one’s career and open up the conversation around data. It is ideal for freshers as well as professionals who wish to advance their careers.

Imarticus Learning: Fuelling India’s Data Analytics Workforce

Posted on by Imarticus Learning

What is Data Analytics?

 Data Analytics involves analyzing raw data and drawing meaningful conclusions and patterns from that data. In data analytics, a lot of processes are automated to eliminate manual intervention. You can take up a data analytics course to understand the intricacies of the subject.

In data analytics, a lot of algorithms are prepared to make the job easy. These days you can take up a data analytics course with placement. A data analytics certification course makes you credible enough for the job.

Understanding Data Analytics

best data analytics certification courses in IndiaData Analytics can be complex when you try to understand it. A data analytics certification course can help you know what the subject entails and how to make the best use of it. The data analytics course will also introduce you to the world of algorithms.

Data Analytics is a broad subject that includes several diverse types of data analysis techniques.

Data Analytics can be used to mine different kinds of data insights. These insights can be used in improving processes and transforming them for the convenience of the data users. You can take up a data analytics course with placement to practically apply these algorithms and techniques of data sorting and data analysis.

Companies like Imarticus Learning are tirelessly working towards making the Indian workforce tech-savvy and well-versed with data analytics and its application. If more and more workforce joins hands with Imarticus to learn data analytics, the workforce will become digitally enabled to deal with a large amount of data. They would know how the data would be put to proper use.

Use Cases of Data Analytics

Data Analytics training can be used to understand several trends that dominate the market. You can apply predictive analysis using the insights from these data points. Several industries are now making use of data analytics to optimize their processes.

For instance, in the manufacturing industry, data analytics is used to store and record runtime, work queue, and downtime of all the machines in the factory. The data can then be utilized to optimize all the processes and to make manufacturing better.

However, data analytics is not limited to spotting bottlenecks in the process. It can do much more. It can make the entire process better and more efficient. You can also use data analytics to speed up the manufacturing process as a whole, as with data analytics, you can reduce the waste to a great extent.

Types of Data Analytics

If the workforce knows how to use Data Analytics, they will be able to use technology better. Some of the types of Data Analytics are:

  1. Descriptive Analytics: This is used to understand what has happened over a while.
  2. Diagnostic Analytics: If something happens, you can analyze what went wrong using diagnostic analytics.
  3. Predictive Analytics: In the case of predictive analytics, the algorithms are used to predict a future trend.
  4. Prescriptive Analytics: These algorithms are used to take a suggestive measure for any action.

Conclusion

Building an analytics workforce is the need of the hour. Therefore, it is essential to train more professionals and prepare them for the analytics world. Digital literacy is very important to automate functions, and data analytics is an integral part of it.

Imarticus is on a spree to enable people to use data analytics to decode patterns and understand data. Imarticus has several courses on data analytics. You can enroll in all of these courses to get an in-depth insight into how data analytics works and make the best use of it. The certifications from Imarticus have a great value in the industry.