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Business Analytics Certification Training in Hyderabad

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Obtain Our Business Analytics Certification Course in Hyderabad

  • 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.
  • 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 Hyderabad?

  • 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 Hyderabad

Our Business Analytics Training in Hyderabad has Brand-Newlabs and infrastructure to provide you hands-on training. In addition, we provide certification training in Business Analytics. We have successfully taught and positioned a number of our university college students in Business Analytics worldwide corporations after they have completed the Business Analytics Training direction. We supply 100% placement help to our university college students.

We provide Classroom Training, Weekend Training, and a Fast Song Route for a laugh Business Analytics Training in Hyderabad. Students can select the most accessible journey times for them. Business Analytics Training direction content material cloth is designed in moderate of current activities and may assist university college students in without a doubt grasping Business Analytics principles. From the fundamentals to advanced issues, we cover it all. Every situation count covered withinside the Business Analytics Training may be described via way of means of using examples from real-life circumstances. Our Business Analytics Experts are SAP-certified professionals that have hands-on information with Business Analytics projects.

Additional Info

Introduction Business Analytics Certification Training In Hyderabad :

    Business Analytics defined:

    Business Analytics described: Business Analytics described: The phrases are frequently used interchangeably, however, a difference does exist. Traditional records Analytics refers back to the technique of reading big quantities of amassed records to get insights and predictions. Business records Analytics (on occasion said as Business Analytics) takes that idea, however, places it withinside the context of Business belief, frequently with prebuilt Business content material cloth fabric and device that expedites the evaluation technique.

    Specifically, Business Analytics refers to:

  • Taking in and processing historic Business records.
  • Analyzing the records to recognize developments, styles, and root reasons.
  • Making records-pushed Business options primarily based totally on the one's insights. In notable phrases, records Analytics is extra than a preferred description of the present-day Analytics technique. Business Analytics implies narrower attention and has functionally grown to be extra each day and extra essential for organizations around the arena as the general quantity of records has increased. Using a cloud Analytics device, organizations can consolidate records from notable departments—income, advertising and advertising, and marketing and marketing, HR, and finance—for a unified view that suggests how one department’s numbers can affect the others. Further, a device, which includes visualization, predictive insights, and state of affairs modeling supplies all sorts of specific insights withinside the direction of a whole business enterprise.

Tools Of Business Analytics Certification Training :

    Business Analytics device assists analysts to carry out the response business Analyticslities to be had and generate critiques that can be clean for a layman to understand. Business records Analytics has many character additives which might be artwork collectively to offer insights. While the Business Analytics device appears after the factors of crunching records and developing insights thru critiques and visualization, the technique begins offevolved offevolved with the infrastructure for bringing that reality in. The brand new workflow for the Business Analytics technique is as follows:

  • Data collection:
  • Wherever records come from, be it IoT devices, apps, spreadsheets, or social media, all of those records choose to get pooled and centralized for access. Using a cloud database makes the gathering technique substantially a lot much less complicated.

  • Data mining:
  • Once records arrive and are stored (typically in a records lake), it wants to be sorted and processed. Machine learning algorithms can boost up this with the aid of using spotting styles and repeatable movements, which includes installing area metadata for records from specific sources, permitting records scientists to attention extra of deriving insights as opposed to guiding logistical responsiBusiness Analyticslities.

  • Descriptive Analytics:
  • Descriptive records Analytics solutions one's inquiries to collect extra information of the tale in the back of the records.

  • Predictive Analytics:
  • With sufficient records—and sufficient processing of descriptive Analytics — a Business Analytics device can begin to collect predictive fashions primarily based totally on developments and historic context. These fashions can because of this be used to tell destiny options regarding Business and organizational choices.

  • Visualization and reporting:
  • Visualization and reporting structures can assist break down the numbers and fashions so that the human eye can without problems draw close to what's being presented. Not simplest does this make suggests a lot much less complicated, however, the one's sorts of the device also can assist everybody from expert records scientists to Business customers swiftly discover new insights.

Benefits of Business Analytics Online Training :

    Business Analytics blessings affect each nook of your business enterprise. When records withinside the direction of departments consolidate nicely right into a single delivery, it syncs up everybody withinside the give up-to-give up technique. This guarantees there aren't any gaps in records or communication, because of this unlocking blessing which embody:

  • Data-pushed selections:
  • With Business Analytics, hard options grow to be smarter—and with the aid of using smart, which means that they may be subsidized up with the aid of using records. Quantifying root reasons and figuring out developments creates a better manner to have a take a observe the destiny of a business enterprise, whether or not or now no longer or now no longer it's far HR budgets, advertising and advertising, and marketing and marketing campaigns, production and delivery chain dreams or income outreach programs.

  • Easy visualization:
  • Unwieldy sections of information can be turned into smooth yet effective visuals using Business Analytics software programs. Subjects are completed as a result of this. For starters, it makes insights far more available to Business customers with only a few mouse clicks. Second, by using the resource of placing statistics in a visible format, the new mind may be exposed completely by using the resource of seeing statistics uniquely. Modeling the what-if scenario:

  • 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 fashions for customers to search for developments and styles in a manner to affect destiny effects. This formerly has emerge as the location of expert records scientists, however, with Business Analytics software program software programs powered with the aid of using devices learning, the one's fashions may be generated withinside the platform.

What is Business Analytics Online Training ?

    Business Analytics Online Training is a records control to answer and Business intelligence subset refers to using methodologies that carries records mining, predictive analytics, and statistical evaluation to investigate and redecorate records into beneficial statistics, recognize and count on developments and effects, and in the long run make smarter records-pushed Business options.

    The crucial additives of a regular Business Analytics dashboard embody:

  • Data Mining:
  • To strengthen the evaluation, records need to first be amassed, organized, and filtered, every thru volunteered records or transactional statistics.

  • Association and Sequence Identification:
  • Records mining for Business Analytics kinds thru big datasets using databases, statistics, and devices learning to recognize developments and set up relationships.

  • Text Mining:
  • The identity of predictable movements can be completed in affiliation with notable movements or sequentially.

  • Forecasting:
  • Explores and organizes big, unstructured textual content datasets for qualitative and quantitative evaluation.

  • Predictive Analytics:
  • Analyzes historic records from a specific period to make knowledgeable estimates which can be predictive in figuring out destiny sports or behaviors.

  • Optimization:
  • Predictive Business Analytics makes use of loads of statistical strategies to create predictive fashions, which extract statistics from datasets, recognize styles, and offer a predictive rating for an array of organizational effects. Data Visualization:

  • Data Visualization:
  • Provides visible representations that embody charts and graphs for clean and brief records evaluation.

Most helpful 4 Types of Business Analytics Training :

There are 4 wonderful types of commercial enterprise analytics, every of that is turning into extra sophisticated. They permit us to be at the inner tune with regards to growing real-time and destiny state of affairs making plans packages. Each of those types of commercial enterprise analytics is defined withinside the following sections.

1. Descriptive Analytics

2. Diagnostic Analytics

3. Predictive Analytics

4. Prescriptive Analytics

1. Descriptive Analytics:

Descriptive Analytics summarizes a business enterprise’s present records to understand what has taken place withinside the pastor is taking region currently. Descriptive Analytics is the best shape of Analytics because it employs records aggregation and mining strategies. It makes records extra on hand to individuals of a business enterprise which includes investors, shareholders, advertising and advertising and marketing and marketing executives, and income managers. It can assist recognize strengths and weaknesses and affords a belief into purchaser conduct too. This allows informing techniques that may be superior withinside the area of targeted advertising and advertising and marketing and marketing.

2. Diagnostic Analytics:

Our Training In Hyderabad is prepared the type of Analytics that allows shift attention from beyond regular usual overall performance to present-day sports and decide which elements are influencing developments. To discover the foundation cause of sports, strategies which embody records discovery, records mining, and drill-down are hired. Diagnostic Analytics uses pro-commercial enterprise Analyticslities, and likelihoods to understand why sports may also occur. Techniques that embody sensitivity evaluation and schooling algorithms are hired for type and regression.

3. Predictive Analytics:

This type of analytics is used to forecast the opportunity of a destiny occasion with the assist of statistical fashions and ML strategies. It builds at the result of descriptive Analytics to plan fashions to extrapolate the hazard of items. To run predictive evaluation, Machine Learning professionals are hired. They can gather a better diploma of accuracy than Business intelligence alone. One of the maximum, now no longer unusualplace packages is sentiment evaluation. Here, present records are amassed from social media and are used to offer an entire image graph of a user's opinion. This reality is analyzed to are looking for his or her sentiment (effective, neutral, or negative).

4. Prescriptive Analytics:

Going a step past predictive analytics, it affords suggestions for the following great movement to be taken. It shows all favorable effects frequently with a specific course of movement and recommends an appropriate movement had to supply the maximum preferred result. It specifically is based mostly on topics, a sturdy remarks device, and an ordinary iterative evaluation. It learns the relation among movements and their effects. One now no longer unusualplace use of this type of Analytics is to create advice systems.

Future Trends of Business Analytics :

An accurate communicator:

Being capable of gift findings clear and concisely is crucial to ensuring that every one gamer apprehends insights and may feature suggestions into practice. People operating withinside the evaluation need to have the commercial enterprise Analyticslity to inform a tale with records thru sturdy writing and presentation talents.


People on this location must have a herbal interest and stress to preserve learning and identifying how topics suit collectively. Even as analysts grow to be managers, it’s essential to live in contact with the Business and its changes.

A Trouble Solver :

Professionals in Analytics use a combination of logical questioning, predictive Analytics, and statistics to make suggestions as a manner to treatment issues and propel a Business ahead. In a career that seeks to show records to answers, being a herbal hassle solver allows being a part of the dots.

A vital Thinker:

Business Analytics professionals want to anticipate drastically approximately now no longer simplest the outcomes of the records they accumulate however approximately what records they must be amassing withinside the number one region. They are predicted to investigate and spotlight simplest the records that might assist make options.

A Visualizer:

Disorganized records don’t assist everybody. To create well clearly nicely really well worth from records, Analytics professionals want which will translate and visualize records concisely and successfully that’s clean to digest.

Both detail-orientated and a Huge Photo Thinker:

While Business Analytics professionals have which will cope with complicated records, furthermore they want to understand how their suggestions will affect the lowest line of a Business. There’s no factor in gaining access to big portions of statistics without the information of the way it could be harnessed to investigate and enhance tactics, processes, and techniques.

Career Path of Business Analytics:

    1. Accelerated SaaS and Cloud Adoption:

    This year, an increasing number of corporations are seeking out migrating to the cloud and leverage all of the blessings of cloud-primarily based Business Analytics, whether or not or now no longer or now no longer with the aid of using internet web website hosting it themselves on a personal or public cloud or subscriBusiness Analyticsng to a Software as a Service (SaaS) answer. The call for cloud Business Analytics maintains to develop at a big pace; 95% of business enterprise software program software corporations go through in mind it is a need-to-have and 54% of groups say it’s every essential or very essential to their Business initiatives, ordinary with Dresner’s 2020 Cloud Computing & Business Intelligence Market Report.

    2. AI Will Be the New Business Analytics:

    Companies withinside the direction of the U.S. are ramping up their AI investments in a post-COVID world, with the ramifications effective to mirror in years to come; 86% of executives surveyed with the aid of using PWC stated that AI can be a mainstream technology at their business enterprise in 2021. Whether thru personalization pushed with the aid of using device learning, augmented records prep, auto-charted records visualizations, or motives created through herbal language technology, synthetic intelligence technology has made their mark on Business Analytics and are right proper right here to live. Thanks to the device learning algorithms and superior neural networks, present-day Business Analytics answers empowered with augmented Analytics can discover anomalies, test sudden sports, and dig even deeper to floor the maximum applicable and beneficial statistics feasible. Contrary to its call, synthetic intelligence allows humanize records and makes them extra on hand to all.

    3. Automation :

    Automation is up and trending this year – 64% of big organizations stated they used AI to automate records evaluation in 2020, up from 55% in 2019, ordinary with Adobe’s 2020 Digital Trends Report. Automation can deal with monotonous responsiBusiness Analyticslities and time-ingesting responsiBusiness Analyticslities in any other case completed with the aid of using human beings, liberating up one's assets for notable, extra nuanced projects. As records Analytics scales up and records volumes expand constantly, automation can be crucial to casting off guide records processes, thinking about extra time spent on selection-making. The cappotential to swiftly test records and act at the effects defines Business intelligence, and automation speeds up Business processes in any respect steps of the records workflow, making it a lot much less complicated for customers to get the solutions to their Business questions that they want.

    4. Natural Language Processing :

    Natural Language Processing: Natural language processing (NLP) bridges the gap among computer systems and people with the aid of using casting off the want for any programming language – and it’s a fashion that has been transforming Business intelligence withinside the beyond few years. With an NLP-powered Business Analytics answer, withinside the choice to trying to spend time and assets learning a way to ask questions, customers can ask their device in easy English just like what they may ask a colleague. NLP we could customers have interaction with records with the aid of using asking questions in herbal language and receiving applicable effects.NLP makes commercial enterprise intelligence extra on hand to non-technical customers via way of means of simplifying it. Natural language generation (NLG) generates statistics in conversational language, permitting the Business Analytics device to reply to inquiries in effortlessly understandable phrases, which includes describing the important thing factors from a sure records visualization.

    5. Data Literacy and Data-Driven Cultures :

    Data Literacy and Data-Driven Cultures: Companies are starting to understand the significance of enforcing records Analytics all through their business enterprise. Instead of retaining apart the evaluation and selection-making processes, corporations withinside the period in-between are looking to positioned insights first, letting their records tell each selection, from putting desires to growing techniques and at the prevent taking movement. Businesses also are searching to empower all tiers in their business enterprise with records-pushed selection-making, however, to do so, they have to first defloration and develop a company basis of statistical literacy.

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

    Some of those who paintings withinside the analytics subject is specifically inquisitive about the technical factors of the job. These statisticians cope with databases and code, in addition to high-overall performance computing and parallel processing, in addition to device mastery. It is feasible to technique records (control it the use of computer systems) and increase records (classify records sets) the use of this type of device; the device mastery is used to generate forecasts that may be applied for business objectives.

    7. Data scientists additionally use plenty of equipment for facts visualization.

    The cappotential to offer hard records and evaluation withinside the shape of charts and tables (i.e., in a manner that everybody can understand it!) is particularly essential withinside the Business world. Skilled records scientists also are generally striving to maintain the current on a brand new and developing device that might assist them to do their interest better, like Python, Spark, Scala, and Julia, to call simplest some. Many those who pass straight away to get an MS in Business Analytics and are inquisitive about this a part of the arena have backgrounds in engineering, mathematics, or accounting. They experience com commercial enterprise Analyticsng thru records and using statistical devices to discover styles.

    8. Data Scientist, With An Emphasis On Analysis :

    Not all records scientists are created equal. Some those who input the arena have an extra hobby in evaluation and modeling than they do in laptop technological knowledge. Compared with the preceding type of records scientist (it is heavy on laptop technological knowledge), this course focuses extra on math and statistics. With extraordinary statistics of statistics and coding talents, records scientists collect complex fashions and simulations in a big records environment.

    ACTE students who are excited with the useful resource of the use of this expert route may be interested in any of these statistics technological information electives:

  • Web-Based Application Development.
  • Data Management Architectures.
  • Business Intelligence Methods & Technologies.
  • Object-Oriented Application Development.
  • Quantitative Analyst/Modeler.
  • “Quants,” as they may be on occasion said as general artwork withinside the monetary Business and use records and records modeling to assist control risk. They frequently use statistical fashions to aid funding options, which turn out to be in extra dependable and regular effects. People who pick this tune generally have backgrounds in mathematics, technological knowledge, laptop technological knowledge, or engineering. Here, employers are searching plenty a lot much less for humans with traditional Business analytic talents and extra for human beings with an aptitude for clinical questioning. The cappotential to artwork with mathematical fashions is extra valuable without a doubt as it gives extra concrete effects—and avoids the dangers related to human reasoning.

Salary :

Business Analyst in Hyderabad 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 Hyderabad is $118,500 annually.

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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.


Syllabus of Business Analytics Course in Hyderabad
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

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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's E-commerce payment system Login or directly walk-in to one of the ACTE branches in India
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