Business Analytics Course Training in Pimpri
- 72 Hours of Intensive Classroom & Online Sessions
- 140+ Hours of Practical Assignments
- 3 Capstone Live Projects
- Receive Certificate from Technology Leader - IBM
- Receive Certificate from Top University - UTM, Malaysia
- Job Placement Assistance
Academic Partners & International Accreditations
"Business Analyst is the fastest growing profile with demand anticipated to see a surge of 28% by the year 2020." (Source). Successful businesses depend on business analysts who explore organizations' data and implement statistical analysis to derive decision making. Among the many reasons for the increase in the demand for a Business Analyst is that their jobs cannot be automated. Secondly, with 70% of companies moving to digital platforms, a business analyst facilitates this digital transformation by designing information systems and executing digital initiatives. He is also responsible for implementing new business processes with cutting down expenses on operating costs, enhancing efficiency and productivity of existing business processes so that companies can perform competitively in local as well as global markets.
- Computer Skills
- Basic Mathematical Concepts
- Analytical Mindset
Business Analytics Course in Pimpri
The Professional Certification in Business Analytics from Pimpri helps you become a Business Intelligence and Data Visualization expert. The goal of this Business Analytics is to assist learners who are professionals in their own right in developing skills in analytics so that they may be more productive to their organizations. The course initiates with a primer on statistics. It unfolds to encompass Exploratory Data Analysis, Data Mining (supervised and unsupervised), and text mining. Machine learning algorithm development is also detailed. The use of Deep Learning and Neural Networks for business decision making is explored. The course also introduces participants to Data Visualization through Tableau and basic graphs. Learn all this and more in the best Business Analytics in Pimpri!
Companies wish to see a real return on their investment and this is where a Business Analyst – with his business and IT focus plays an important role. The course has been constructed keeping in mind the market trend in this field and has been designed by none other than the trainers who are alumni of IITs, IIMs and ISB. They have used creative methods to achieve the learning outcomes and have designed a comprehensive curriculum, to help you develop an in-depth understanding of the subject. The course on Business Analytics in Pimpri promises a good return on your investment. So, grab the opportunity and become a Business Analyst.
What is Business Analytics?
Business analytics is developing new business insights using statistics and data modeling. It involves analyzing data using business intelligence tools to make future predictions using data from the business’s past performance. For example, a chain of schools may use the data collected to predict the best location to open their next branch. Many big organizations and businesses are using Business analytics because of its data-driven approach to the world of business. Data is like a lifeline for data-driven companies who extensively depend on their data quality and skilled analysts. A business analyst understands this technology and actively looks for ways to turn the data into a Pimpri advantage by gaining insights that inform better business decisions.
Business Analytics Course Outcomes in Pimpri
Business Analysts are the mainspring behind the new-age businesses that have adopted a data-driven approach to making more informed decisions and problem-solving. Business Analytics uses various tools and techniques like data extraction, data depiction, and analytical modelling to make the most of the data which is available to us at the click of a button. It is estimated that Data creation will reach 164 zettabytes by 2025, and so will the demand for business analysis professionals who are experts in deriving meaningful insights from Big Data. The course on Business Analytics, Pimpri aims to provide a comprehensive study that enables you to work with various data generation sources, create business reports, dashboards, stories, maps, etc. to draw meaningful business insights and effectively communicate business strategies. Learn to apply descriptive, predictive, and prescriptive analytics to develop an understanding to solve a business problem and to build prediction models for day-to-day applicability. This course also allows you to use Data Visualization concepts to represent and interpret data and work on projects and tasks that are based on real-life case studies. The aim of this program is to provide students with professional education in the field of Business Analytics so as to enable them to understand and critically analyze unstructured business problems. They will also learn to provide solutions using the language, theory and models of Analytics. Furthermore, they will also
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Who Should Sign Up?
- Science, Math and Commerce graduates
- IT professionals who want to specialise in digital tech
- Professionals who want to move into Data Analytics
- Professionals who want to add Data Analytics to current job skills
- Academicians and researchers working in Data Analytics
Business Analytics Course Modules in Pimpri
This course is designed to empower you with essential techniques, tools, and skills you will need to excel in this field. The aim of this module is to build your understanding and capabilities in designing, structuring, and analyzing data. The module on business analytics will cover Hypothesis testing, Linear regression, Black Box techniques, Data Mining and many more to demonstrate familiarity with analytical tools. Learn various Hypothesis Tests to solve business problems. Using a simple mathematical formula, the equation of a line, you can predict an outcome. Understand the art of improvising the results of Prediction Models. Understand the different regression techniques, like Logistic Regression and Poisson Regression, etc. used for discrete data.
Understand what is Data Science, Machine Learning, and Artificial Intelligence. Learn the applications and approaches to implement Analytical solutions to an organization using business data. You will learn how to implement Descriptive and Predictive Analytics as part of this module.
Inferential Statistics is the study to evaluate results for a population using a subset of data. The assumptions made for business problems are analyzed using Inferential Statistics. Learn various Hypothesis Tests to solve business problems. Using a simple mathematical formula, the equation of a line, you can predict an outcome. Understand the art of improvising the results of Prediction Models.
Line Assumptions are the prerequisite and post requisites for developing a Regression Model. As part of this module learn to deal with conditions that may arise while developing a Prediction Model. Understand the different regression techniques, like Logistic Regression and Poisson Regression, etc., used for discrete data.
Descriptive Analytics analyses historical data and can explain scenarios that happened in the past. The information generated from this preliminary analysis is subjected to Data Mining techniques to obtain the desired results. Understand the different mathematical approaches for Descriptive and Predictive Analysis as part of this Data Mining module.
Learn to predict categorical data using Classifier Techniques. In the industry, the classification techniques are predominantly used to solve prediction problems. You will learn these popular techniques and the math behind these algorithms. Learn to analyze the unstructured text data by extracting features from the data. Apply probability-based classification techniques to predict outcomes using text data.
Deep Learning techniques are based on Black Box techniques. As part of this module, you will learn the most commonly used Deep Learning Algorithms. Learn how to deal with unstructured data, the art of developing a Neural Network and the different types of Neural Networks. Support Vector Machine is a kernel-based technique to classify the non-linear data in multidimensional spaces. Understand how time-series data is different from the regular data, learn to interpret the effects of time on the data. You will learn methods used to perform forecasting on time series data.
Reporting is an essential stage of Data Analytics. You will learn the most famous business intelligence tool Tableau and its capabilities. Learn the Data Visualization rules and differentiate a good visualization from a bad visualization.
Learn to tell stories on data using graphs and plots. Learn how Tableau can be used to tell patterns and anomalies in the data. Learn the features like parameters, filters, Quick Table calculations, sets, etc., to segregate the data.
Learn how to use Calculated Fields in Tableau to customize and create new attributes. Tableau Maps feature which is a unique feature will automatically help to define stories using world maps. You will learn to add customized maps and background images for creating customized visual information. Learn to use dashboards and stories using multiple worksheets in sequence and create a story on business data.
Business Analytics Trends in Pimpri
Business analytics has refined significantly over the past decade giving users better insights into the operational data and improving upon the business process to target dimensions like profit and time to market. It is giving more and more people the ability to feel the sheer power of managing their data quality and with predictive and prescriptive analytics it is set out to become the most important trend in the digital world. Even smaller companies are collecting and analyzing data to move forward to meet new challenges and not having to fight for their share in the market. With the staggering amount of data being generated, AI applications are being pitched into the world of analytics to scan huge amounts of data and find correlations in them. Now businesses can find a ready-made solution to their problems with the advent of analytics.
Among the other trends, Data protection has become a primary concern for businesses worldwide. Apart from analyzing data to import insights one also needs to follow guidelines provided by GDPR (General Data Protection Regulation). Natural language processing is another trend catching up among analysts to provide an easy to understand interface for people to extract the required information from the database without the need for a dedicated data specialist. A Blockchain is a trend that is helping to a large extent in finding out which information can be trusted and used. It is also becoming handy in tracking false reports and fake news. Last but not least is the way data is presented graphically which is making it easy to unearth the relationship between transactions, organizations, and people.
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