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Business Analytics Course in Delhi
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What Is Business Analystics & Why It Is The Most Demanding Skill Now a Days?

  • Business analytics is known as the science of analyzing historical data to find out useful patterns to develop new insight and provide strategies for decision making by using statistical methods and technologies.

    Almost every kind of industry nowadays uses business analytics and hires skilled business analysts to perform the job.

    It is estimated that 163 zettabytes of data might be created by 2025. Data science is being utilised by every Big corporation, government organizations, entrepreneurs to generate insights by extracting patterns from the historical datasets.

    These insights, later on, help to offer solutions to business problems and improve output.

    Business analytics is a data management solution and a business intelligence (BI) subset that uses methodologies like data aggregation, data mining, association and sequence identification, text mining, forecasting, predictive analysis, optimization and data visualization to make data-driven and ultimately smarter & quicker business decisions.

    There are three types of business analytics. These are Descriptive analytics, predictive analytics and prescriptive analytics.

Importance of business analytics in the digital era:


There are many reasons why business analytics is now so popular and widely being used in all industries worldwide. In this blog, we will show you the 3 major causes that industries are now looking for business analysts to make data-driven decisions.

  • Informed-decision making- Uber upgraded its Customer Obsession Ticket Assistant (COTA), which is basically a tool that uses machine learning algorithms (ML) and natural language processing (NLP) to help agents develop their speed and precision when responding to support tickets, in early 2018.

    It used prescriptive business analytics to examine whether the innovative iteration of the product would be further effective than its initial version.

    Then the company was finally concluded that the updated product led to more rapid service, more correct resolution recommendations, and higher consumer satisfaction. These insights saved the company millions of dollars.

  • Increase in revenue – Companies that use data and analytics initiatives can experience major financial returns.

    Research by McKinsey shows organizations that endowed big data yield a 6% average increase in profits, which eventually jumps to 9% for investments spanning five years.

    These findings demonstrate the clear financial payoff that can be gained from a robust business analytics strategy.

  • Quality improvement in the organisation’s internal business operations – Beyond financial gains, analytics can be used to fine-tune business operations. Armed with the information, firms can prevent outages by more effective time management, enabling it to save on operational costs and ensure that it leverages assets at optimal performance levels.

business analytics course in delhi

Business Analysts are high in Demand:

  • LinkedIn listed business analysis as one of the skills companies need most in 2020. The Bureau of Labor Statistics predicts operations research analyst jobs to rise by 27% by 2026 which is faster than any other operation.

    Business analytics career growth has an excellent stance. The number of jobs for business analysts will boost from the current 364,000 to 2,720,000 openings by 2020.

    According to the latest survey, the salary package for beginner business varies between ₹ 3,55,000 – ₹5,00,000 per annum. A business analyst with 1 to 4 years of experience can expect a salary up-to ₹5,50,5000.

    By choosing a business analyst career path, you can achieve a strong role in the business process analytics and opportunities to work on more than one operating system.

    Kickstart your business analyst career with the business analytics course in Delhi provided by Madrid Software Trainings which is recognized as the best business analytics training institute in Delhi by industry professionals.

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Business Analytics Course Highlights !



Business Analytics Course in Delhi
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Course Outline

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Our Business Analytics Course Is Designed By Industry Experts That Gives The Candidate an Edge In The Market



  •   Introduction To Business Analytics

    •   Requirement Lifecycle Management & Strategy Analysis

    •   Identifying The Research Questions

    •   Source Data & Data Analytics

    •   Getting Started With Excel

    •   Formatting Essentials

    •   Functions & Formulas

    •   List Of Functions & Formulas

    •   Dashboard Designing In Excel

    •   Excel Charts

    •   Various Analytics Tools

    •   Pivot Table

    •   Python Programming Concepts

    •   Numpy & Pandas Concepts

    •   Visualization With MatplotLib

    •   Statistics Concepts For Analytics

    •   Harnessing Data

    •   Exploratory Analysis

    •   Distributions

    •   Hypothesis & Computational Techniques

    •   Correlation & Regression

    •   Predictive Modeling Concepts

    •   Machine Learning Concepts For Analytics

    •   Business Intelligence Concepts

    •   Microsoft Power BI Concepts

    •   Connecting Power BI With Different Data Sources

    •   Power Query For Data Transformation

    •   Data Modelling In Power BI

    •   Reports In Power BI

    •   Reports & Visualization Types In Power BI

    •   Dashboards In Power BI

    •   Introduction To Tableau

    •   Working With Tableau

    •   Case Studies

    •   Capstone Projects



Job Profile And Salaries Of Business Analytics



business analytics salary in india

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  • Course Curriculum Design by Industry Experts
  • Real Time Assignments Case Study & Projects
  • Got Better Salary Hike and Promotion
  • Industry recognized certificates
  • Mock tests and Mock interview
  • Dedicated placement coordinator assigned to every
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Business Analytics Interview Q & A


1.What is logistic regression in Data science?

Logistic regression measures the relationship between the dependent variable (our label of what we want to predict) and one or more independent variables (our features) by estimating probability using its underlying logistic function (sigmoid). Logistic Regression is also called as the logit model. It is a method to forecast the binary outcome from a linear combination of predictor variables.

2.Differentiate between univariate, bivariate, and multivariate analysis ?

  • Univariate - Univariate data contains only one variable. The purpose of the univariate analysis is to describe the data and find patterns that exist within it.

  • Bivariate - Bivariate data involves two different variables. The analysis of this type of data deals with causes and relationships and the analysis is done to determine the relationship between the two variables.

  • Multi-variate - Multivariate data involves three or more variables, it is categorized under multivariate. It is similar to a bivariate but contains more than one dependent variable.

3.How does data cleaning play a vital role in the analysis?

Dirty data often leads to the incorrect inside, which can damage the prospect of any organization. For example, if you want to run a targeted marketing campaign. However, our data incorrectly tell you that a specific product will be in-demand with your target audience; the campaign will fail.

4.What is the difference between supervised and unsupervised machine learning?

Supervised machine learning – It used unknown and labeled data. It has a feedback mechanism. The most commonly used supervised ML algorithms are decision trees, logistic regression, and support vector machines.

Unsupervised machine learning – It doesn’t require labeled data. Unlike supervised machine learning, it has no feedback mechanism. k-means clustering, hierarchical clustering, and apriori algorithm are the most commonly used unsupervised algorithms.

5.Explain the Decision Tree algorithm in detail?

A decision tree is a popular supervised machine learning algorithm. It is mainly used for Regression and Classification. It allows breaks down a dataset into smaller subsets. The decision tree can able to handle both categorical and numerical data.

6.What do you understand by the term recommender systems? Where are they used?

A subclass of information filtering systems that are meant to predict the preferences or ratings that a user would give to a product are recommender systems. Recommender systems are widely used in movies, news, research articles, products, social tags, music, etc. It helps you to predict the preferences or ratings which users likely to give to a product.

7.What is the p-value? What is its importance?

When you conduct a hypothesis test in statistics, a p-value allows you to determine the strength of your results. It is a numerical number between 0 and 1. Based on the value it will help you to denote the strength of the specific result.

p-value typically ≤ 0.05 shows strong evidence against the null hypothesis; so you reject the null hypothesis.

p-value typically > 0.05 shows weak evidence against the null hypothesis, so you accept the null hypothesis.

p-value at cutoff 0.05, this is considered to be marginal, meaning it could go either way.

8.We want to predict the probability of death from heart disease based on three risk factors: age, gender, and blood cholesterol level. What is the most appropriate algorithm for this case?

Choose the correct option:

  • Logistic Regression
  • Linear Regression
  • K-means clustering
  • Apriori algorithm

  • The most appropriate algorithm for this case is A, logistic regression.

9.Below are the eight actual values of the target variable in a train file. Find out the entropy of the target variable.

[0, 0, 0, 1, 1, 1, 1, 1]
Choose the correct answer.

  • -(5/8 log(5/8) + 3/8 log(3/8))
  • 5/8 log(5/8) + 3/8 log(3/8)
  • 3/8 log(5/8) + 5/8 log(3/8)
  • 5/8 log(3/8) – 3/8 log(5/8)

The target variable, in this case, is 1.
The formula for calculating the entropy is:
Putting p=5 and n=8, we get
Entropy = A = -(5/8 log(5/8) + 3/8 log(3/8))

10.Why do you want to be a data scientist?

The answer may vary from person to person. The aim is, to be honest, and polite. You may answer this like this. “I have a passion for working for data-driven, innovative companies. Your firm uses advanced technology to address everyday problems for consumers and businesses alike, which I admire. I also enjoy solving issues using an analytical approach and am passionate about incorporating technology into my work.”

FAQ


1.What is the most valuable skill for a business analytics professional?

Business analyst skill requirements are a combination of technical and non- technical skills from an abstract perspective. The in-demand skills that every enterprise is looking for in a business analyst are:

  • Excellent verbal communication
  • A good listener
  • Capable of understanding delegated objectives
  • Managing meetings with stakeholders
  • Project Management skills
  • Documenting and reporting
  • Analytical & problem solving
  • Testing Software & designing business models
  • Technical aptitude
  • In-depth knowledge of Python
  • Python coding
  • MS Excel  Mathematics
  • Mathematics Expertise
  • Business/strategy acumen

2.How much statistics and machine learning is used in business analytics?

Business analytics requires big data, statistical analysis, predictive analysis, and data visualization to implement organizational changes and create statistical models. These models can predict results in effecting business decisions—machine learning algorithms from Decision trees, Random forest, to clustering. The algorithms are used to solve complex business problems and derive the best outcomes.

3. What is the average salary of a business analytics professional?

The average salary in India for the year 2017 was 12.7 Lakhs Rupees. Mumbai offers the highest package of almost 13.3 Lakhs per annum, followed by Bengaluru at 12.5 Lakhs rupees.

4. Why Madrid Software Trainings is known as the best business analytics Institute in Delhi?

Expert trainers at Madrid Software Training focus on doing extensive research on the essential tools and techniques applied in the industry to develop Industry-Readiness on course completion. The course's pragmatic approach blends academic content with hands- on training and equally focuses on developing the soft skills in the students that all the top leading companies are looking for in a business analyst. We provide 100% placement assistant.

5.Who will be our trainer for the business analytics course in Delhi?

The trainers at Madrid Software Trainings are industry experts who have the experiential knowledge of all the latest business analytics methodologies and avenues. They are aware of the current industry requirements to make you a skilled business analytics professional.

6. What is the average salary of a business analytics professional?

According to glassdoor, a business analytics professional's average salary in India is 5 lakh rupees per year. The higher compensation can go up to 15 lakh to 30 lakh rupees per year or more with more experience and expertise.

7. Do we get placement support after completing the course?

Yes, Madrid Software Trainings assign you a dedicated placement coordinator to provide 100% placement support after completing the course to ensure you a secure and safe future.

8.What if I miss a business analytics class?

All our classes are recorded for self-study purposes and future refrence.Hence, if you miss a class, you can refer to the video recording and then reach out to the faculty during their doubts clearing sessions or attend any other batch for the same topic.

9.Will I get a business analytics course completion certificate from Madrid Software trainings?

Yes, We will provide you with a completion certificate. Students get weekly assignments and module wise case studies in our courses. Once all your submissions are received and evaluated, the certificate shall be awarded.

10.Do Madrid Software also provide online training in business analytics course?

Yes, since the pandemic arrived, we provide online training with the same quality course curriculum and training environment.

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