Business Analytics Course Training in Bangalore
- 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
Academic Partners & International Accreditations
Business Analytics is the process of studying business data and then transforming data into business insights using statistics and iterative procedures.It is a data-driven, decision-making approach for a business problem. With increasing emphasis on digitization in every aspect of life, data continues to expand at an unprecedented pace and that means more potential insights into identifying patterns and delivering predictive results related to consumer action or market trends. In the past, varied businesses have shown tremendous growth by incorporating various approaches and techniques used in business analytics. To gain a competitive edge join the in Business Analytics Certification in Bangalore and increase your chances of success.
Certified Data Science Course in Bangalore
Why 360DigITMG for Business Analytics Training?
The Business Analytics course in Bangalore assists learners to develop skills in analytics. Business analytics majorly deals with analyzing data collected by businesses, non-profits, and government agencies to gain insights and make better decisions. The course aims to cover all the relevant techniques of business analytics used in operations, marketing, finance, and strategic planning in an organization. Students will learn to identify, evaluate, and capture data to create value using business analytics. The course will also take upon analytical tools like various types of Regression, Hypothesis testing, Black Box techniques, and Data Mining, etc. to solve real-time business problems.
With an upward trajectory in the volume of searches, Business Analytics will be the most popular, in-demand profession that will affect all aspects of businesses right from data collection to data cleansing to data mining to statistical analysis and data optimization. A Business Analyst plays a crucial role in every area of business as they fix outdated processes and drive new technology and innovation. This training in Business Analytics, Bangalore will ensure you are market-ready with real-world case studies that will help you have endless growth opportunities.
What is Business Analytics?
To gain new insight and improve strategic decision-making, businesses use various statistical methodologies and techniques for analyzing past data. This process is called Business Analytics. It is a data management technique that uses various tools like data mining, predictive analytics, and statistical analysis to transform and analyze data. Business analytics uses data from annual reports, financial ratios, marketing research, etc. and uses analytics to understand the past and present situation of the business. Business analytics has a wide range of usages and can be used for descriptive analysis, predictive analysis, and prescriptive analysis.
Outcomes of Business Analytics Course
This training is formulated keeping in mind the needs of students and helping professionals gain new skills and proficiency in Business Analytics. Students will be able to understand the role of a business analyst and how analytics adds value to the business by collecting, monitoring, forecasting, and planning using data. Business analysts are in-demand across a varied number of industries and help companies thrive and grow. In this program, learn to use analytical techniques to outline a problem and then find solutions for businesses. You will also learn to analyze data using data visualization to build interactive dashboards, business reports, stories, maps, etc. Using business data gain insight into the various applications and approaches to implement Analytical solutions. Master the art of improvising the results of Prediction Models and explore the different Regression techniques. Absorb the various mathematical approaches in data mining to understand Descriptive and Predictive Analysis. Join the Business Analytics course in Bangalore and master the various techniques and skills required to become a Business Analyst. You will also
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Who Should Sign Up?
- Candidates aspiring to be Data Scientist, Machine Learning Expert, Analytics Manager / Professional, Business Analyst, Data Analyst, etc.
- Employees of organizations which are planning to devise proactive strategies using Machine Learning approaches
- Managers with knowledge of basic programming and decision-makers who want to make data-driven decisions
Modules of Business Analytics Certification Course
The Business Analytics in Bangalore is curated to teach you the various essential techniques, tools, and skills used in Analytics. The modules are designed in such a way that they start with basic concepts and then move to advanced level techniques which makes it suitable for freshers as well as for professionals. We begin with an introduction to what is Data Science, Machine Learning, and Artificial Intelligence and move on to implement Descriptive and Predictive Analytics as part of the first module. Then we move to learn Hypothesis Tests to solve business problems and then Regression, Data Mining, Time Series, Data Visualization, so on, and so forth. These modules on business analytics provide you with business solutions using the theory, language, and models of Analytics. Enroll for the Business analytics training and kick start your career towards your goals.
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 Training Trends in Bangalore
Data has become a primary tool for any forward-looking business. Business analytics has to evolve to keep with the demands of the sheer amount of data that is being produced every second. This data has to be collected and analyzed to produce valuable business insights. Some of the important business analytics trends to look out for include, wide application of AI. AI businesses use complex software tools to sift through huge amounts of data to find correlation between them. The other trend catching up is combining reporting with business intelligence with the help of newly emerging tools to analyze data and single out trends. Moving forward it is predicted that more than 40% of data science tasks are going to be fully automated to deal with the lack of experts with sufficient skills.
Today, technology is available to all kinds of businesses irrespective of their size, and with more and more AI-based solutions businesses are willing to implement AI in its analytics. Analytics solution providers have created interfaces that would allow non-data experts also to interact with them with the help of Natural Language Processing that can generate analytical queries using simple language. The other area of concern is the protection of data and that’s where the technology of Blockchain will be seen as one of the trends catching up. With Blockchain one can ensure the security of data across a network of multiple participants and it will be able to instantly detect if something changes in the network. This will immensely be useful in tracking false reports and fake news.
Additional assignments of over 140+ hours
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