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Business Analytics Certification Training in Delhi

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  • Classes for Beginners and Advanced Students.
  • With R, you can learn how to do business analytics by doing it yourself.
  • Interview Preparation Techniques in Business Analytics: Best Practices
  • Student Portal, Study Materials, Videos, and Top MNC Interview Questions are all Available for a lifetime.
  • Fees are reasonable, and the program is created by an R expert.
  • Presented by a Business Analytics Certified Expert with more than 12 years of Experience.
  • 13492+ Students Trained & 370+ Clients Recruited
  • Next Business Analytics Batch to Begin this week – Enroll Your Name Now!

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24-Apr-2024
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Obtain Our Business Analytics Certification Course in Delhi

  • Our Business Analytics Training course strives to provide high-quality training that combines sound underlying knowledge with a practical approach to core concepts.
  • The instructor will provide business analytics using the R certification guide, sample questions, and practice questions.
  • The program will provide you with hands-on experience with RStudio, an integrated development environment (IDE) that comes with a number of built-in tools that make coding with R easier.
  • R for Business Intelligence The goal of this training course is to assist students to comprehend real-world knowledge and become Business Analytics experts.
  • R is providing the excellent capability to the analytics professionals' open source programming environment.
  • Our Business Analytics course covers everything you'll need to know to pass the Business Analytics exam.
  • Concepts: Introduction to Schema, Changing Datatypes Of Elements In Schema, Validating Maps (Schema), Debugging & Exceptions, Flat Files, Power shell Scripting.
  • START YOUR CAREER WITH Business Analytics CERTIFICATION COURSE THAT GETS YOU A JOB OF UPTO 8 TO 17 LACS IN JUST 80 DAYS!
  • Classroom Batch Training
  • One To One Training
  • Online Training
  • Customized Training
  • Enroll Now

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Course Objectives

R Programming Language, often known as Business Analytics, is an open-source programming language and software environment created by and for statisticians. It's primarily utilized for statistical calculations and high-resolution visuals. As a result, it is a popular language for data analysis among mathematicians, statisticians, data miners, and scientists.
Business Analytics R programming is a powerful enterprise-oriented programming language with the following distinguishing characteristics:
  • Business Analytics R programming is a free and open-source programming language.
  • Business Analytics R programming was created with data analysis in mind.
  • Business Analytics R programming is an object-oriented programming language.
  • Business Analytics R programming is a computer language that is interpreted.
  • The Business Analytics R programming language generates high-end images.
  • Advanced Analytics with Business Analytics programming.
  • >Business Analytics R programming has a close-knit community for the business analytics community.
Business Analytics Training is a completely programmable computer language that: Efficiently stores and processes data utilizing a set of arithmetic and textual operators for array and matrix calculations. It consists of data analysis tools. It was provided with graphical services to give data analysis that is both understandable and instructive. It Contains no-nonsense programming approaches such as well-defined functions, loops, conditionals, and input-output capabilities. It Contains a LaTeX-like documentation format that delivers a wide range of documentation in both hardcopy and softcopy formats. As a result, R is easily expandable via functions and extensions, allowing developers to extend its capabilities.
The Business Analytics Training programming language is riddled with myths. To be clear, R is not a database, even though the R programming language may readily link to a database management system (DBMS). Though it can call its C/C++ code, R's Language interpreter can be slow at times. Business Analytics R programming does not have a graphical user interface, however, it is compatible with Java and Tcl/TK. Although it is easy to connect to Excel/MS Office, the Business Analytics Training language does not provide a spreadsheet view of data.
It depends on your skill level, but it's still a difficult task. You can begin by running simple programs like a file open/close, directory change, and so on. However, writing real software may take longer. However, if you devote 6 month to learning the fundamentals of R and put forth a genuine effort, you will be quite proficient in the language.
    Statistical Analysis in Business Analytics Online Training is a book that teaches you how to do statistical analysis in Business Analytics R programming. Certification in Data Science. Professional Certificate in IBM Data Analytics with Excel and R. Business Analytics R programming Nanodegree Programming for Data Science.
    It's entirely plausible. Business Analytics Online Training is a very simple way to learn a high-level interpreted language. There are high-quality Business Analytics online courses available in our ACTE, the most well-known of which being freshers, where you may enroll for free, learn at your own pace, practice and comprehend R, and receive a certificate of completion!

What is the best way for a fresher to learn Business Analytics Online course in Delhi?

  • Install the RStudio and Business Analytics Training packages.
  • A Gentle Introduction to Today Statistics in Business Analytics Training will take you an hour.
  • Use RStudio to begin coding.
  • Use R Markdown to publish your work.
  • Learn about some useful development tools.

Is Business Analytics appropriate for Business Analysts?

As a result, Business Analytics refocuses analysis on the analysts rather than the tools. Analysts with R language abilities can also become heroes within their analytical departments by assisting in the reduction of their department's annual budget costs.

What are the different types of tools used to analyse the data in Business Analytics?

The language was created to aid in the analysis of data. It includes a number of methods for retrieving, analysing, and interpreting data, as well as high-quality visuals. It includes statistical approaches such as
  • Median Distributions
  • Covariance Regression
  • Non-linear Mixed-Effects
  • GLM
  • GAM, and many others.

What is the importance of using Business Analytics Training?

    Another excellent feature of this language is that it is object-oriented. As a result, the language excels in creating comprehensive object-oriented programs. It's also a language that lets you perform some amazing branching and looping, as well as modular programming.

How Business Analytics programming differs from other programming languages?

    The benefit of utilizing R for business analytics is that it is a language that allows you to produce some stunning visuals. It also has advanced analytics, which is a huge plus. Its packages, such as CRAN and Task Views, are also useful.
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Overview of Business Analytics Certification Training in Delhi

Our Business Analytics Training in Delhi has the infrastructure to offer you hands-on training. In addition, we offer certification education in Business Analytics. We have effectively taught and placed some of our students in Business Analytics international businesses when they have finished the Business Analytics Training course. We deliver 100% placement assistance to our students.


Additional Info

Introduction Business Analytics Certification Training In Delhi :

    Business Analytics defined:

    We offer Classroom Training, Weekend Training, and a Fast Song Route for amusing Business Analytics Training in Delhi. Students can choose the maximum reachable adventure instances for them. Business Analytics Training course content material fabric material is designed in slight of contemporary sports and might help college university college students in sincerely greedy Business Analytics principles. From the basics to superior problems, we cowl it all. Every scenario matter included withinside the Business Analytics Training can be defined thru manner of the usage of examples from real-existence circumstances. Our Business Analytics Experts are SAP-licensed specialists which have hands-on records with Business Analytics projects.

    Business Analytics described: Business Analytics defined: Business Analytics defined: The terms are often used interchangeably, but, a distinction does exist. Traditional statistics Analytics refers to the approach of analyzing large portions of accumulated statistics to get insights and predictions. Business statistics Analytics (every so often stated as Business Analytics) takes that idea, but, locations it withinside the context of Business notion, often with prebuilt Business content material fabric material cloth and tool that expedites the assessment approach.

    Specifically, Business Analytics refers to:

  • Taking in and processing ancient Business statistics.
  • Analyzing the statistics to apprehend trends, patterns, and root motives.
  • Making statistics-driven Business alternatives based mostly on the one's insights. In brilliant terms, statistics Analytics is more than a desired description of the gift-day Analytics approach. Business Analytics implies narrower interest and has functionally grown to be more every day and additional vital for agencies across the area as the overall amount of statistics has increased. Using a cloud Analytics tool, agencies can consolidate statistics from brilliant departments—earnings, marketing and marketing and marketing and marketing, and advertising and advertising, HR, and finance—for a unified view that indicates how one department’s numbers can affect the others. Further, a tool, which incorporates visualization, predictive insights, and situation modeling substances all kinds of unique insights withinside the course of an entirely commercial enterprise organization.


Tools Of Business Analytics Certification Training :

    Business Analytics tool assists analysts to perform the reaction commercial enterprise Analyticslities available and generate reviews that may be smooth for a layman to recognize. Business statistics Analytics has many individual components which are probably artwork together to provide insights. While the Business Analytics tool seems after the elements of crunching statistics and growing insights through reviews and visualization, the approach starts offevolved offevolved with the infrastructure for bringing that truth in. The present-day workflow for the Business Analytics approach is as follows:

  • Data collection:
  • Wherever statistics come from, be it IoT gadgets, apps, spreadsheets, or social media, all of these statistics pick out to get pooled and centralized for access. Using a cloud database makes the collection approach appreciably lots a whole lot much less complex.

  • Data mining:
  • Once statistics arrive and are stored (normally in a statistics lake), it desires to be looked after and processed. Machine studying algorithms can accelerate this with the useful resource of the usage of recognizing patterns and repeatable actions, which incorporates putting in place metadata for statistics from unique sources, allowing statistics scientists to interest more in deriving insights rather than guiding logistical responsiBusiness Analyticslities.

  • Descriptive Analytics:
  • Descriptive statistics Analytics answers one's questions to acquire more records of the story withinside the returned of the statistics.

  • Predictive Analytics:
  • With enough statistics—and enough processing of descriptive Analytics — a Business Analytics tool can start to acquire predictive models based mostly on trends and ancient context. These models can due to being used to inform future alternatives concerning Business and organizational choices.

  • Visualization and reporting:
  • Visualization and reporting systems can help smash down the numbers and models so that the human eye can without issues draw near to what is being presented. Not best does this make indicates lots a whole lot much less complex, but, the one's kinds of the tool can also help everyone from professional statistics scientists to Business clients rapidly find out new insights.


Benefits of Business Analytics Online Training :

    Business Analytics advantages affect every corner of your commercial enterprise organization. When statistics withinside the course of departments consolidate well proper right into a Single transport, it syncs up everyone withinside the surrender-to-surrender approach. This ensures there are not any gaps in statistics or communication, due to this unlocking blessing which encompass:

  • Data-pushed selections:
  • With Business Analytics, tough alternatives turn out to be smarter—and with the useful resource of the usage of smart, this means that that they'll be backed up with the useful resource of the usage of statistics. Quantifying root motives and identifying trends creates a higher way to have a take a study the future of a commercial enterprise organization, whether or not or now no longer or now not or now not it is HR budgets, marketing and marketing, and marketing and marketing, and advertising and advertising campaigns, manufacturing and transport chain goals or earnings outreach packages.

  • Easy visualization:
  • Unwieldy sections of records may become easy but powerful visuals the usage of Business Analytics software program packages. Subjects are finished because of this. For starters, it makes insights ways greater to be had to Business clients with just a few mouse clicks. Second, via way of means of the usage of the useful resource of putting information in a seen format, the brand new thoughts can be uncovered absolutely via way of means of the usage of the useful resource of seeing information uniquely.

  • Modeling the what-if situation:
  • PUnwieldy sections of statistics may be was clean but powerful visuals the use of Business Analytics software program packages. Subjects are finished due to this. For starters, it makes insights some distance extra to be had to Business clients with only some mouse clicks. Second, via way of means of the use of the aid of putting records in a seen format, the brand new thoughts can be uncovered absolutely via way of means of the use of the aid of seeing records uniquely.

  • Go Augmented:
  • Predictive Analytics creates models for clients to look for trends and patterns in a way to affects future consequences. This previously has to turn out to be the vicinity of professional statistics scientists, but, with Business Analytics software program application software program packages powered with the useful resource of the usage of gadgets studying, the one's models can be generated withinside the platform.


What is Business Analytics Online Training ?

    Business Analytics Online Training is a statistics manipulate to reply and Business intelligence subset refers to the usage of methodologies that consists of statistics mining, predictive analytics, and statistical assessment to research and remodel statistics into useful information, apprehend and expect trends and consequences, and in the end make smarter statistics-driven Business alternatives.

    The vital components of a normal Business Analytics dashboard encompass:

  • Data Mining:
  • To support the assessment, statistics want to first be accumulated, organized, and filtered, each through volunteered statistics or transactional information.

  • Association and Sequence Identification:
  • Records mining for Business Analytics sorts through large datasets the usage of databases, information, and gadgets studying to apprehend trends and installation relationships.

  • Text Mining:
  • The identification of predictable actions may be finished in association with brilliant actions or sequentially.

  • Forecasting:
  • Explores and organizes large, unstructured text datasets for qualitative and quantitative assessment.

  • Predictive Analytics:
  • Analyzes ancient statistics from a particular duration to make informed estimates which may be predictive in identifying future sports activities or behaviors.

  • Optimization:
  • Predictive Business Analytics uses masses of statistical techniques to create predictive models, which extract information from datasets, apprehend patterns, and provide a predictive score for an array of organizational consequences.

  • Data Visualization:
  • Provides seen representations that encompass charts and graphs for smooth and short statistics assessment.


Most helpful 4 Types of Business Analytics Training :

There are four super sorts of business organization analytics, each of these is becoming more sophisticated. They allow us to be on the internal music close to developing real-time and future situation planning programs. Each of these sorts of business organization analytics is described withinside the subsequent sections.

1. Descriptive Analytics

2. Diagnostic Analytics

3. Predictive Analytics

4. Prescriptive Analytics

1. Descriptive Analytics:

Descriptive Analytics summarizes a commercial enterprise organization’s gift statistics to recognize what has taken region withinside the pastor is taking location currently. Descriptive Analytics is an exceptional form of Analytics as it employs statistics aggregation and mining techniques. It makes statistics more reachable to people of a commercial enterprise organization which incorporates investors, shareholders, marketing and marketing and marketing and marketing and advertising and advertising executives, and earnings managers. It can help apprehend strengths and weaknesses and gives a notion into customer behavior too. This permits informing strategies that can be advanced withinside the place of centered marketing and marketing and marketing and marketing and advertising and advertising.

2. Diagnostic Analytics:

Our Training In Delhi is ready the sort of Analytics that permits shift interest from past normal usual overall performance to gift-day sports activities and determine which factors are influencing trends. To find out the inspiration purpose of sports activities, techniques which encompass statistics discovery, statistics mining, and drill-down are employed. Diagnostic Analytics makes use of pro-business organization Analyticslities, and likelihoods to recognize why sports activities may additionally occur. Techniques that encompass sensitivity assessment and education algorithms are employed for kind and regression.

3. Predictive Analytics:

This sort of analytics is used to forecast the possibility of a future event with the help of statistical models and ML techniques. It builds on the result of descriptive Analytics to plot models to extrapolate the threat of items. To run predictive assessment, Machine Learning specialists are employed. They can collect a higher degree of accuracy than Business intelligence alone. One of the most, now not unusualplace programs is sentiment assessment. Here, gift statistics are accumulated from social media and are used to provide a whole photograph graph of a user's opinion. This truth is analyzed to are searching out his or her sentiment (powerful, neutral, or negative).

4. Prescriptive Analytics:

Going a step beyond predictive analytics, it gives hints for the subsequent extraordinary motion to be taken. It suggests all favorable consequences often with a particular route of motion and recommends the precise movements needed to deliver the most desired result. It especially is primarily based totally on subjects, a strong comments tool, and an everyday iterative assessment. It learns the relation between actions and their consequences. One now not unusualplace use of this sort of Analytics is to create recommendation structures.

Future Trends of Business Analytics :

An accurate communicator:

Being able to present findings clean and concisely is vital to making sure that each one gamer apprehends insights and might characteristic hints into practice. People running withinside the assessment want to have the economic organization Analyticslity to tell a story with statistics through strong writing and presentation skills.

Inquisitive:

People in this vicinity need to have a natural hobby and strain to maintain studying and figuring out how subjects fit together. Even as analysts turn out to be managers, it’s vital to stay in touch with the Business and its changes.

A Trouble Solver :

Professionals in Analytics use an aggregate of logical questioning, predictive Analytics, and information to make hints as a way to remedy problems and propel a Business ahead. In a profession that seeks to reveal statistics to solutions, being natural trouble solver permits being part of the dots.

A vital Thinker:

Business Analytics specialists need to count on extensively about now not best the results of the statistics they acquire but about what statistics they need to be gathering withinside the primary location. They are anticipated to research and highlight best the statistics that could help make alternatives.

A Visualizer:

Disorganized statistics don’t help everyone. To create nicely in reality well genuinely nicely well worth from statistics, Analytics specialists need to be able to translate and visualize statistics concisely and effectively that’s smooth to digest.

Both detail-orientated and a Huge Photo Thinker:

While Business Analytics specialists have to be able to deal with complex statistics, moreover they need to recognize how their hints will affect the bottom line of a Business. There’s no issue in getting access to large quantities of information without the records of the manner it may be harnessed to research and decorate tactics, methods, and strategies.

Career Path of Business Analytics:

    1. Accelerated SaaS and Cloud Adoption:

    This year, more and more businesses are searching out migrating to the cloud and leverage all the advantages of cloud-based Business Analytics, whether or not or now no longer or now not or now not with the useful resource of the usage of net hosting it themselves on a private or public cloud or subscriBusiness Analyticsng to a Software as a Service (SaaS) answer. The name for cloud Business Analytics keeps to expand at a large pace; 95% of commercial enterprise organization software program application software program businesses undergo in thoughts it's miles a want-to-have and 54% of organizations say it’s each vital or very vital to their Business initiatives, every day with Dresner’s 2020 Cloud Computing & Business Intelligence Market Report.

    2. AI Will Be the New Business Analytics:

    Companies withinside the course of the U.S. are ramping up their AI investments in a post-COVID world, with the ramifications powerful to reflect in years to come; 86% of executives surveyed with the useful resource of the usage of PWC said that AI may be a mainstream era at their commercial enterprise organization in 2021. Whether through personalization driven with the useful resource of the usage of tool studying, augmented statistics prep, auto-charted statistics visualizations, or reasons created via natural language era, artificial intelligence era has made its mark on Business Analytics and are proper right here to stay. Thanks to the tool studying algorithms and advanced neural networks, gift-day Business Analytics solutions empowered with augmented Analytics can find out anomalies, check surprising sports activities, and dig even deeper to ground the most relevant and useful information viable. Contrary to its name, artificial intelligence permits humanize statistics and make them more reachable to all.

    3. Automation :

    Automation is up and trending this year – 64% of large agencies said they used AI to automate statistics assessment in 2020, up from 55% in 2019, every day with Adobe’s 2020 Digital Trends Report. Automation can address monotonous responsiBusiness Analyticslities and time-eating responsiBusiness Analyticslities otherwise finished with the useful resource of the usage of people, freeing up one's belongings for brilliant, more nuanced projects. As statistics Analytics scales up and statistics volumes make bigger constantly, automation may be vital to removing manual statistics methods, considering more time spent on selection-making. The cappotential to rapidly check statistics and act on the consequences defines Business intelligence, and automation hastens Business methods the least bit steps of the statistics workflow, making it lots a whole lot much less complex for clients to get the answers to their Business questions that they need.

    4. Natural Language Processing :

    Natural Language Processing: Natural language processing (NLP) bridges the space amongst pc structures and those with the useful resource of the usage of removing the need for any programming language – and it’s a style that has been remodeling Business intelligence withinside the past few years. With an NLP-powered Business Analytics answer, withinside the selection to seeking to spend time and belongings studying a manner to invite questions, clients can ask their tool in smooth English much like what they'll ask a colleague. NLP we should clients interact with statistics with the useful resource of the usage of asking questions in natural language and receiving relevant consequences.NLP makes business organization intelligence more reachable to non-technical clients thru a manner of simplifying it. Natural language generation (NLG) generates information in conversational language, allowing the Business Analytics tool to answer inquiries in effects comprehensible terms, which incorporates describing the vital issue elements from a positive statistics visualization.

    5. Data Literacy and Data-Driven Cultures :

    Data Literacy and Data-Driven Cultures: Companies are beginning to recognize the importance of imposing statistics Analytics for the duration of their commercial enterprise organization. Instead of preserving aside the assessment and selection-making methods, businesses withinside the interim are seeking to placed insights first, letting their statistics inform every selection, from setting wants to developing strategies and on the save you taking motion. Businesses are also looking to empower all stages of their commercial enterprise organization with statistics-driven selection-making, but, to do so, they need to first defloration and expand an enterprise foundation of statistical literacy.

    6. Data Scientist, With An Emphasis On Computer Science:

    Some of the folks who artwork withinside the analytics problem are especially interested in the technical elements of the job. These statisticians deal with databases and code, similarly to high-usual overall performance computing and parallel processing, similarly to tool mastery. It is viable to approach statistics (manipulate the usage of pc structures) and boom statistics (classify statistics sets) the usage of this sort of tool; the tool mastery is used to generate forecasts that can be carried out for commercial enterprise objectives.

    Salary :

    Business Analyst in Delhi income in Maharashtra tiers among ₹ 2.7 Lakhs to ₹ 16.0Lakhs with a common annual income of ₹ 7. 0Lakhs. Salary estimates are primarily based totally on 51.8k salaries obtained from Business Analysts. Top Earners Of Business Analyst in Delhi is $118,500 annually. While a Business Analyst with 5-9 years of experience can expect to earn about Rs 8,30,975, a Senior Business Analyst with over 15 years of experience can expect to earn around Rs 12,09,787. The pay rises to Rs. 16,54,946.

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Key Features

ACTE offers Business Analytics Training in more than 27+ branches with expert trainers. Here are the key features,

  • 40 Hours Course Duration
  • 100% Job Oriented Training
  • Industry Expert Faculties
  • Free Demo Class Available
  • Completed 500+ Batches
  • Certification Guidance

Authorized Partners

ACTE TRAINING INSTITUTE PVT LTD is the unique Authorised Oracle Partner, Authorised Microsoft Partner, Authorised Pearson Vue Exam Center, Authorised PSI Exam Center, Authorised Partner Of AWS and National Institute of Education (nie) Singapore.

Curriculum

Syllabus of Business Analytics Course in Delhi
Module 1: Data Science Project Lifecycle
  • Recap of Demo
  • Introduction to Types of Analytics
  • Project life cycle
  • An introduction to our E learning platform
Module 2: Introduction To Basic Statistics Using R And Python
  • Data Types
  • Measure Of central tendency
  • Measures of Dispersion
  • Graphical Techniques
  • Skewness & Kurtosis
  • Box Plot
  • R
  • R Studio
  • Descriptive Stats in R
  • Python (Installation and basic commands) and Libraries
  • Jupyter note book
  • Set up Github
  • Descriptive Stats in Python
  • Pandas and Matplotlib / Seaborn
Module 3: Probability And Hypothesis Testing
  • Random Variable
  • Probability
  • Probility Distribution
  • Normal Distribution
  • SND
  • Expected Value
  • Sampling Funnel
  • Sampling Variation
  • CLT
  • Confidence interval
  • Assignments Session-1 (1 hr)
  • Introduction to Hypothesis Testing
  • Hypothesis Testing with examples
  • 2 proportion test
  • 2 sample t test
  • Anova and Chisquare case studies
Module 4: Exploratory Data Analysis -1
  • Visualization
  • Data Cleaning
  • Imputation Techniques
  • Scatter Plot
  • Correlation analysis
  • Transformations
  • Normalization and Standardization
Module 5: Linear Regression
  • Principles of Regression
  • Introduction to Simple Linear Regression
  • Multiple Linear Regression
Module 6: Logistic Regression
  • Multiple Logistic Regression
  • Confusion matrix
  • False Positive, False Negative
  • True Positive, True Negative
  • Sensitivity, Recall, Specificity, F1 score
  • Receiver operating characteristics curve (ROC curve)
Module 7: Deployment
  • R shiny
  • Streamlit
Module 8: Data Mining Unsupervised Clustering
  • Supervised vs Unsupervised learning
  • Data Mining Process
  • Hierarchical Clustering / Agglomerative Clustering
  • Measure of distance
  • Numeric - Euclidean, Manhattan, Mahalanobis
  • Categorical - Binary Euclidean, Simple Matching Coefficient, Jaquard’s Coefficient
  • Mixed - Gower’s General Dissimilarity Coefficient
  • Types of Linkages
  • Single Linkage / Nearest Neighbour
  • Complete Linkage / Farthest Neighbour
  • Average Linkage
  • Centroid Linkage
  • Visualization of clustering algorithm using Dendrogram
Module 9: Dimension Reduction Techniques
  • PCA and tSNE
  • Why dimension reduction
  • Advantages of PCA
  • Calculation of PCA weights
  • 2D Visualization using Principal components
  • Basics of Matrix algebra
Module 10: Association Rules
  • What is Market Basket / Affinity Analysis
  • Measure of association
  • Support
  • Confidence
  • Lift Ratio
  • Apriori Algorithm
Module 11: Recommender System
  • User-based collaborative filtering
  • Measure of distance / similarity between users
  • Driver for recommendation
  • Computation reduction techniques
  • Search based methods / Item to item collaborative filtering
  • Vulnerability of recommender systems
Module 12: Introduction To Supervised Machine Learning
  • Workflow from data to deployment
  • Data nuances
  • Mindsets of modelling
Module 13: Decision Tree
  • Elements of Classification Tree - Root node, Child Node, Leaf Node, etc.
  • Greedy algorithm
  • Measure of Entropy
  • Attribute selection using Information Gain
  • Implementation of Decision tree using C5.0 and Sklearn libraries
Module 14: Exploratory Data Analysis - 2
  • Encoding Methods
  • OHE
  • Label Encoders
  • Outlier detection-Isolation Fores
  • Predictive power Score
Module 15: Feature Engineering
  • Recurcive Feature Elimination
  • PCA
Module 16: Model Validation Methods
  • Splitting data into train and test
  • Methods of cross validation
  • Accuracy methods
Module 17: Ensembled Techniques
  • Bagging
  • Boosting
  • Random Forest
  • XGBM
  • LGBM
Module 18: KNN And Support Vector Machines
  • Deciding the K value
  • Building a KNN model by splitting the data
  • Understanding the various generalization and regulation techniques to avoid overfitting and underfitting
  • Kernel tricks
Module 19: Regularization Techniques
  • Lasso Regression
  • Ridge Regression
Module 20: Neural Networks
  • Artificial Neural Network
  • Biological Neuron vs Artificial Neuron
  • ANN structure
  • Activation function
  • Network Topology
  • Classification Hyperplanes
  • Best fit “boundary”
  • Gradient Descent
  • Stochastic Gradient Descent Intro
  • Back Propogation
  • Intoduction to concepts of CNN
Module 21: Text Mining
  • Sources of data
  • Bag of words
  • Pre-processing, corpus Document-Term Matrix (DTM) and TDM
  • Word Clouds
  • Corpus level word clouds
  • Sentiment Analysis
  • Positive Word clouds
  • Negative word clouds
  • Unigram, Bigram, Trigram
  • Vector space Modelling
  • Word embedding
  • Document Similarity using Cosine similarity
Module 22: Natural Language Processing
  • Sentiment Extraction
  • Lexicons and Emotion Mining
Module 23: Naive Bayes
  • Probability – Recap
  • Bayes Rule
  • Naive Bayes Classifier
  • Text Classification using Naive Bayes
Module 24: Forecasting
  • Introduction to time series data
  • Steps of forecasting
  • Components of time series data
  • Scatter plot and Time Plot
  • Lag Plot
  • ACF - Auto-Correlation Function / Correlogram
  • Visualization principles
  • Naive forecast methods
  • Errors in forecast and its metrics
  • Model Based approaches
  • Linear Model
  • Exponential Model
  • Quadratic Model
  • Additive Seasonality
  • Multiplicative Seasonality
  • Model-Based approaches
  • AR (Auto-Regressive) model for errors
  • Random walk
  • ARMA (Auto-Regressive Moving Average), Order p and q
  • ARIMA (Auto-Regressive Integrated Moving Average), Order p, d and q
  • Data-driven approach to forecasting
  • Smoothing techniques
  • Moving Average
  • Simple Exponential Smoothing
  • Holts / Double Exponential Smoothing
  • Winters / HoltWinters
  • De-seasoning and de-trending
  • Forecasting using Python and R
Module 25: Survival Analysis
  • Concept with a business case
Module 26: End To End Project Description With Deployment
  • End to End project Description with deployment using R and Python
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Get Hands-on Knowledge about Real-Time Business Analytics Projects

Project 1
Uber Data Analysis

The Uber Analysis Project is a assignment in statistics visualization, wherein R and its libraries are used to research parameters or variables just like the journeys in the course of a day, or the month-to-month journeys in a year.

Project 2
Customer Segmentation

Customer Segmentation is one of the maximum essential R assignment topics. Whenever groups want to become aware of and goal the maximum capability patron base, the Customer Segmentation technique is available in handy.

Project 3
Movie Recommendation System

A Recommendation System may be constructed in R the use of the “MovieLens Dataset” and the packages – “ggplot2”, “encouraged lab”, ”statistics. table”, and “reshape2”.

Project 4
Sentiment Analysis

Sentiment evaluation is the manner of reading phrases to check evaluations and sentiments which have distinct polarities – positive, negative, or neutral.

Our Best Hiring Partner for Placements

ACTE offers placement opportunities as an add-on to all students/professionals who have taken classrooms or online education. Some of our students work for the following companies.
  • Among our clients is IBM India Pvt. Limited, Wipro, Novartis Healthcare Pvt. Ltd., VMware, Google, CTS, TCS, IBM, and others. It allows us to place our students in leading global organizations all around the world.
  • We have separate student placement webpages where you can access all of the interview schedules and receive email notifications.
  • Upon completion of 70% of Business Analytics training course content, prepare students for interview calls and prepare for F2F interactions.
  • We have a professional placement support team to help ensure placement according to student needs.
  • The emphasis is entirely on placing students in firms where they will fit in intellectually and culturally.
  • Trainers in Business Analytics aid students in constructing a resume that is relevant to current industry needs.

Get Certified By Business Analytics & Industry Recognized ACTE Certificate

Acte Certification is Accredited by all major Global Companies around the world. We provide after completion of the theoretical and practical sessions to fresher's as well as corporate trainees.

Our certification at Acte is accredited worldwide. It increases the value of your resume and you can attain leading job posts with the help of this certification in leading MNC's of the world. The certification is only provided after successful completion of our training and practical based projects.

Complete Your Course

a downloadable Certificate in PDF format, immediately available to you when you complete your Course

Get Certified

a physical version of your officially branded and security-marked Certificate.

Get Certified

About Satisfactory Business Analytics Training Mentors

  • Our Business Analytics Training Tutors are certified professionals with 9+ years of experience in their respective domains as well as they are currently working with Top MNCs.
  • Since all trainers are experts in the operation of the Business Analytics R domain, there are many live projects, so trainers will use these projects during their training sessions.
  • All our Trainers are working with companies such as IBM India Pvt. Limited, Wipro, Novartis Healthcare Pvt. Ltd., HCL Technologies, etc.
  • Our trainers also assist candidates in being placed in the company through an employee nomination / internal employment process.
  • Our training program is designed to provide students from all disciplines with instruction in a variety of technologies, depending on their area of interest.
  • We have received various prestigious awards for Business Analytics Training from recognized IT organizations.

Business Analytics Course Reviews

Our ACTE Reviews are listed here. Reviews of our students who completed their training with us and left their reviews in public portals and our primary website of ACTE & Video Reviews.

Vanitha

BizTalk

I underwent Business Analytics training in ACTE, Porur. The training session was good. My tutor Mr.Anbu have been outstanding. I liked the sessions taught by him who is an experienced faculty. Each and every topic is explained very clearly. Materials provided by him were useful. He is really good with his training and has the best content with him for the training which is really useful for a fresher like me to learn.

Dinesh Karthik

BizTalk

Good Institute for getting your basics right in any course, Thanks to Prabhu sir for training me for Business Analytics has around 10+ years of experience in Business Analytics and covers all the real time scenario's in the classes

Prabhakaran

BizTalk

I have enrolled for Business Analytics course in ACTE, Chennai It is a very nice experience. Trainer is very good and talented. All the concepts are thoroughly explained by the time you don't understand. Facilities are good. There is the provision of paying fees in instalment. Hence overall it's nice to choose

Madhumathi

Studying

It was a great learning experience in ACTE, Banglore. The entire course structure designed for its students, the teaching methodology, as well as placement assistance, is really good. ACTE helped me a lot to get my first job. Had a wonderful opportunity to learn under the guidance of dedicated faculty team headed and gain knowledge in the field of Business Analytics . I would recommend ACTE to people who are interested to learn Business Analytics .

Lakshika

BizTalk

Very motivational environment. Best way to teach. Really appreciate the efforts they put from there side to increase the knowledge and development of students. Thanks, ACTE

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Business Analytics Course FAQs

Looking for better Discount Price?

Call now: +91 93833 99991 and know the exciting offers available for you!
  • ACTE is the Legend in offering placement to the students. Please visit our Placed Students List on our website
  • We have strong relationship with over 700+ Top MNCs like SAP, Oracle, Amazon, HCL, Wipro, Dell, Accenture, Google, CTS, TCS, IBM etc.
  • More than 3500+ students placed in last year in India & Globally
  • ACTE conducts development sessions including mock interviews, presentation skills to prepare students to face a challenging interview situation with ease.
  • 85% percent placement record
  • Our Placement Cell support you till you get placed in better MNC
  • Please Visit Your Student Portal | Here FREE Lifetime Online Student Portal help you to access the Job Openings, Study Materials, Videos, Recorded Section & Top MNC interview Questions
    ACTE Gives Certificate For Completing A Course
  • Certification is Accredited by all major Global Companies
  • ACTE is the unique Authorized Oracle Partner, Authorized Microsoft Partner, Authorized Pearson Vue Exam Center, Authorized PSI Exam Center, Authorized Partner Of AWS and National Institute of Education (NIE) Singapore
  • The entire Business Analytics training has been built around Real Time Implementation
  • You Get Hands-on Experience with Industry Projects, Hackathons & lab sessions which will help you to Build your Project Portfolio
  • GitHub repository and Showcase to Recruiters in Interviews & Get Placed
All the instructors at ACTE are practitioners from the Industry with minimum 9-12 yrs of relevant IT experience. They are subject matter experts and are trained by ACTE for providing an awesome learning experience.
No worries. ACTE assure that no one misses single lectures topics. We will reschedule the classes as per your convenience within the stipulated course duration with all such possibilities. If required you can even attend that topic with any other batches.
We offer this course in “Class Room, One to One Training, Fast Track, Customized Training & Online Training” mode. Through this way you won’t mess anything in your real-life schedule.

Why Should I Learn Business Analytics Course At ACTE?

  • Business Analytics Course in ACTE is designed & conducted by Business Analytics experts with 10+ years of experience in the Business Analytics domain
  • Only institution in India with the right blend of theory & practical sessions
  • In-depth Course coverage for 60+ Hours
  • More than 50,000+ students trust ACTE
  • Affordable fees keeping students and IT working professionals in mind
  • Course timings designed to suit working professionals and students
  • Interview tips and training
  • Resume building support
  • Real-time projects and case studies
Yes We Provide Lifetime Access for Student’s Portal Study Materials, Videos & Top MNC Interview Question.
You will receive ACTE globally recognized course completion certification Along with National Institute of Education (NIE), Singapore.
We have been in the training field for close to a decade now. We set up our operations in the year 2009 by a group of IT veterans to offer world class IT training & we have trained over 50,000+ aspirants to well-employed IT professionals in various IT companies.
We at ACTE believe in giving individual attention to students so that they will be in a position to clarify all the doubts that arise in complex and difficult topics. Therefore, we restrict the size of each Business Analytics batch to 5 or 6 members
Our courseware is designed to give a hands-on approach to the students in Business Analytics . The course is made up of theoretical classes that teach the basics of each module followed by high-intensity practical sessions reflecting the current challenges and needs of the industry that will demand the students’ time and commitment.
You can contact our support number at +91 93800 99996 / Directly can do by ACTE.in's E-commerce payment system Login or directly walk-in to one of the ACTE branches in India
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