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Business Analytics Certification Training in Thane

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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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Upcoming Batches

22-July-2024
Mon-Fri

Weekdays Regular

08:00 AM & 10:00 AM Batches

(Class 1Hr - 1:30Hrs) / Per Session

17-July-2024
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08:00 AM & 10:00 AM Batches

(Class 1Hr - 1:30Hrs) / Per Session

20-July-2024
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(Class 3hr - 3:30Hrs) / Per Session

20-July-2024
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(09:00 AM - 02:00 PM)

(Class 4:30Hr - 5:00Hrs) / Per Session

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Obtain Our Business Analytics Certification Course in Thane

  • 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

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 Thane?

  • Install the RStudio and Business Analytics Training packages.
  • A Gentle Introduction to Tidy 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 Course in Thane

This Business Analytics Course open-source programming language and programming climate known as Business Analytics is a programming language and climate created by analysts and for analysts. Measurable calculations and progressed designs are principally done utilizing it. Henceforth, it is a famous language for applied mathematicians, analysts, information investigators, and furthermore for researchers to examine information. Factual processing or illustrations is performed utilizing Business Analytics language, an open-source programming language. Information mining and factual examination frequently utilize this programming language. By distinguishing examples and building functional models, it can fill in as an examination instrument. Also, R can be utilized to fosteBusiness Analytics applications that dissect information and perform measurable investigation, for example, the formation of information examination programming. R offers a graphical UI that can be utilized to create programs, including traditional measurable tests, group examination and other time-series investigation procedures, just as direct and nonlinear displaying strategies. There are four windows on the interface: a content window, console window, work area and history window, and tabs for various regions (help, bundles, plots, and documents). Plots and illustrations can be written in R for distribution and examination can be put away for sometime later.

Throughout the years, R has filled in prominence, and it is one of the most famous investigation dialects for schools and colleges. Scholastics and enterprises all through the world have represented its dependability, precision, and power. As of late, the UI of R has become more easy to use, which was at first seen as an obstruction to non-analysts learning this programming language. The application presently upholds augmentations and other modules like R Studio and R Excel, which helps new clients in learning it all the more rapidly and successfully. As more alumni enter the labor force as R-prepared examiners, it is relied upon to turn into the business standard for measurable investigation and information mining projects.

Additional Info

Intro Of Business Analytics :

Business examination, an information the executive's arrangement and business insight subset, alludes to the utilization of procedures, for example, information mining, prescient investigation, and measurable investigation to break down and change information into helpful data, distinguish and expect patterns and results, and eventually make more intelligent, information-driven business choices.

The fundamental parts of a regular business investigation dashboard include:

Information Aggregation: Before the examination, information should initially be assembled, coordinated, and separated, either through chipped in information or conditional records.

Information Mining: Information digging for business investigation figures out huge datasets utilizing data sets, insights, and AI to recognize drifts and build up connections.

Affiliation and Sequence Identification: The ID of unsurprising activities that are acted in relationship with different activities or successively.

Text Mining: Investigates and arranges enormous, unstructured text datasets for subjective and quantitative examination.

Anticipating: Examines authentic information from a particular period to make educated appraisals that are prescient in deciding future occasions or practices.

Prescient Analytics: Prescient business examination utilizes an assortment of factual strategies to make prescient models, which separate data from datasets, recognize designs, and give a prescient score to a variety of hierarchical results.

Improvement: Once drifts have been recognized and expectations have been made, organizations can connect with reenactment strategies to try out best-case situations.

Information Visualization: Gives visual portrayals, for example, diagrams and charts for simple and fast information examination.

This Business Analytics Course open-source programming language and programming climate known as Business Analytics is a programming language and climate created by analysts and for analysts. Measurable calculations and progressed designs are principally done utilizing it. Henceforth, it is a famous language for applied mathematicians, analysts, information investigators, and furthermore for researchers to examine information. Factual processing or illustrations is performed utilizing Business Analytics language, an open-source programming language. Information mining and factual examination frequently utilize this programming language. By distinguishing examples and building functional models, it can fill in as an examination instrument. Also, R can be utilized to fosteBusiness Analytics applications that dissect information and perform measurable investigation, for example, the formation of information examination programming. R offers a graphical UI that can be utilized to create programs, including traditional measurable tests, group examination and other time-series investigation procedures, just as direct and nonlinear displaying strategies. There are four windows on the interface: a content window, console window, work area and history window, and tabs for various regions (help, bundles, plots, and documents). Plots and illustrations can be written in R for distribution and examination can be put away for sometime later.

Throughout the years, R has filled in prominence, and it is one of the most famous investigation dialects for schools and colleges. Scholastics and enterprises all through the world have represented its dependability, precision, and power. As of late, the UI of R has become more easy to use, which was at first seen as an obstruction to non-analysts learning this programming language. The application presently upholds augmentations and other modules like R Studio and R Excel, which helps new clients in learning it all the more rapidly and successfully. As more alumni enter the labor force as R-prepared examiners, it is relied upon to turn into the business standard for measurable investigation and information mining projects.

The most ideal approach to execute Business Analytics?

Originally intended for analysts, Business Analytics is presently used to play out an assortment of undertakings, including demonstrating information, prescient investigation, and information mining. R gives a stage where organizations can make custom models for information assortment, bunching, and investigation. The utilization of R investigation for business knowledge can give an important method to quickly fabricate models that target explicit spaces of the business and give custom fitted experiences custom-made to meeting each day needs.

The following purposes can be accomplished utilizing Business Analytics Certification :

  • Statistical analysis
  • Predictive analytics
  • Analytical prediction
  • Analyzing time series
  • Analyzing consider the possibility that scenarios
  • Models of regression
  • Exploration of data
  • The anticipating process
  • Searching for text
  • Mining data
  • Analyzing visual data
  • Analytics on the web
  • Analyzing social media
  • Analyzing sentiment
  • By Turbocharging an association's investigation program, R can be utilized to tackle true business issues. An examination stage can incorporate this instrument into a business' framework to assist clients with expanding information utilization. You can apply measurable models to your investigation utilizing R by applying its broad library of capacities and progressed factual methods. Among its benefits are that it empowers organizations to distinguish openings and dangers, anticipate business results, and construct intuitive dashboards for an outline of the information. A superior comprehension of this can permit organizations to settle on better choices and increment income.


Skills of Business Analytics :

Ability :

Professionals are battling to stay aware of the gigantic changes to the large information scene, which makes it extreme to realize where to focus their endeavors. In spite of the quickly advancing nature of the business investigation discipline, there are sure center skills that are fundamental for a strong vocation in this field.

Business investigators ought to have the accompanying attributes :

  • Communication Skills are Important :

    Making sure that all partners get experiences and can carry out suggestions requires the capacity to introduce discoveries in a reasonable and compact way. Composing and introducing information can be useful assets for individuals who work in investigation.

  • Inquisitive :

    This field requires people with a characteristic interest and a longing to continue learning and seeing how things work. Stay up with the latest on changes in the business, even as investigators become supervisors.

  • The capacity to tackle issues :

    Using legitimate reasoning, prescient investigation, and measurements, investigators make suggestions for tackling issues and impelling organizations forward. A capacity to take care of issues normally is significant for a calling that endeavors to transform information into replies.

  • Critical thinking :

    It is pivotal that business investigation experts consider what information they gather, yet regarding what information they should gather in any case. To use sound judgment, they are relied upon to examine and feature just the most important information.

  • Using a Visualizer :

    Data that is scattered will not help anybody. An investigation proficient should have the option to decipher and envision information in a compact and precise manner that is not difficult to process to make esteem from it.

  • A conscientious mastermind just as a 10,000 foot view thinker
  • As much as business investigation experts need to comprehend complex information, they should likewise guarantee that their proposals will emphatically affect the main concern of an organization. In the event that you don't have a clue how to use enormous amounts of data for examining and further developing methodologies, strategies and cycles, approaching information is futile.


The Technical Skills Necessary for Business Analytics :

Analytics experts are answerable for satisfying the interest for specialized mastery in a business climate that quickly becomes overwhelmed by enormous information by wearing both investigator and designer caps. To make an interpretation of information into unmistakable arrangements, both get instruments and programming dialects thoughtfully and for all intents and purposes.

Business examination experts ought to know about these top devices :

1. SQL :

An investigation expert's toolbox ought to contain the language SQL, which codes data sets. SQL questions are composed by experts to recover and investigate information from exchange data sets and to make perceptions for partners to see.

2. Dialects of Statistical Analysis :

R, which is utilized for factual investigation, and Python, which is utilized in everyday writing computer programs, are the two most regularly utilized dialects in examination. Albeit enormous informational indexes are broke down utilizing both of these dialects, master information in either isn't required.

3. Programming for Statistical Analysis :

A profession in examination is in some cases fit to the individuals who can program. In any case, aptitude recorded as a hard copy code isn't required. For overseeing and dissecting information, you can use measurable programming like SPSS, SAS, Sage, Mathematica, and even Excel.


Benefits of Learning :

  • Use examination instruments, like R and progressed Excel, to investigate, break down, and settle business problems

  • Learn how to gather information and the 'what' and 'how'

  • Discover how to quantify and dissect information utilizing Industry Best Practices

  • Business Objectives will be imparted to information experts in an engaged way and they will actually want to figure better ends from information examination.

  • Develop business procedures that are objective oriented

  • Integrate+integrate+analyse client information from numerous sources and draw in with clients continuously to acquire a general perspective on clients across various channels

  • Analyzing value-based information assists with deciding the fondness of items.

  • Understanding logically based monetary dynamic will help with supporting your organization's benefit margins

  • Market offer can be expanded by taking significant information driven decisions

  • Predictive models can be acclimated to full scale changes with this tool


Career Benefits :

  • Prepare yourself for jobs requiring a background in analytics
  • Opening doors to international job opportunities requiring specialized skills
  • Talent Shortage gives you access to thousands of untapped analytics jobs that pay well
  • You will be promoted within your current profile with the most highly sought-after skills
  • When interviewing for a job, separate your profile from those of your peers
  • The 'Certified Business Analytics Practitioner' (CBAP) certification is rewarding and a great career switch
  • Add your name next to the Hallmark of Global Credential-CBAP Professional to your business card
  • The best way to improve your CV and LinkedIn profile is to develop your skills
  • Provide high ROI support for startups
  • Become a leader in today's most exciting field, Analytics!

The Career Benefits of Business Analytics Training :

  • We offer our students a variety of career-related benefits. Students who go through this course often get better jobs as a result of their education. Other people started their own businesses as well, including consulting firms. We have a student who became so passionate about machine learning and statistics that he is now doing a Ph.D. in machine learning full time.

  • A candidate's aspirations determine how much he or she will gain from a career change. In fact, many of our students moved into data-science roles after taking this course, whether looking for a new job or even moving within their company. Freshers seeking career advancement who do not only wish to do web development, testing, or typical software engineering jobs may find this course to be a great difference maker in their career and life goals.

  • Therefore, we suggest to our students to not worry too much about benefits. Rather, learn all the concepts, learn the skill, become confident in coding and solving problems, and then you will certainly receive the benefit because you will be the one receiving it, not the third person. In fact, Business Analytics is more relevant now than it has ever been, and we cover everything a student needs with extensive practice and real-world applications. This seventy-hour course covers everything a student needs.


At the End of the Training, You will Get :

You will learn all the topics required to pass the Business Analytics certification course in our Business Analytics course. Participants will receive a Business Analytics certification guide, Business Analytics certification practice questions, and Business Analytics certification sample questions.

What are the benefits of Business Analytics Training?

Business data can be analyzed more efficiently using R's business analytics. Companies that use R in theiBusiness Analytics programs achieve some of the following benefits:


Organizational Democratization of Analytics :

Using interactive data visualization and reporting tools, R enables business users to gain insight into their data. In order for business users and citizen data scientists to make better business decisions, R can be used for data science by nondata scientists. Additionally, Business Analytics allows data scientists to concentrate their efforts on more complex data science initiatives, reducing the amount of time they devote to data preparation and data wrangling.


Insights that are more Deep and Precise :

Nowadays, the majority of successful companies rely on data and data analytics affects virtually every aspect of their operation. Despite the fact that R is a powerful language for creating models to analyze large amounts of data, there are a lot of powerful data analysis tools that are available. Using Business Analytics, companies are able to collect and store data more accurately, which provides them with more valuable insight to users. Business insights are gained more accurately and more deeply with the use of analytics and statistical engines using R. R is capable of producing detailed analyses of very specific data.

Utilizing big data :

Big data can be queried with R, and many industry leaders are leveraging big data across their businesses with this tool. Business Analytics enables organizations to discover new insights for their data sets and give their information a coherent context. As easy as, or perhaps easier than, most other analysis tools available today, R uses big datasets to handle these big data sets.


Visualizing Interactive Data :

As another benefit, Business Analytics online Course allows you to create graphs and diagrams to aid in creating data visualizations and data exploration. Visualizations, 3D charts, and graphs are among the features that help users communicate with each other.

Payscale:

The salary of a Business Analyst in Thane depends upon several factors like company size and reputation, job position, location, education qualifications, and experience. Usually, reputed companies like TCS, Amazon, Accenture, Deloitte, etc., pay higher salaries. Then again candidates hailing from reputed institutes/b-schools earn more than their counterparts. This holds true for work experience as well – the more your experience, the higher will be your market value.

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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 Thane
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.

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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 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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