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Business Analytics Certification Training in Ecil

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Rated #1 Recognized as the No.1 Institute for Business Analytics Certification Training in Ecil

Enhance your career with Business Analytics Certification Training in Ecil! Master data analysis, business intelligence, and decision-making strategies through expert-led sessions.

This Business Analytics Certification in Ecil is designed for professionals eager to improve their data analytics and business decision-making skills. Learn Business Analytics course, to analyze data, build reports, and uncover trends to solve real-world business problems.Gain practical experience with industry tools.

  • Master essential business analytics concepts to accelerate your career.
  • Gain practical experience working on business data projects and case studies.
  • Unlock exciting career opportunities with top companies in analytics and consulting.
  • Take Business Analytics Training in Ecil today and advance your career in business analytics!
  • Access affordable, industry-recognized Business Analytics Certification with expert guidance.
  • Join thousands of learners who have enhanced their skills with Business Analytics Certification.

    Fee INR 18000

    INR 14000

    Training

    • Case Studies and Projects 8+

    • Hours of Training 45+

    • Placement Assurance 100%

    • Expert Support 24/7

    • Support & Access Lifetime

    • Certification Yes

    • Skill Level All

    • Language All

    Obtain Our Business Analytics Certification Course in Ecil

    • 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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    • Non-IT to IT (Career Transition) 2371+
    • Diploma Candidates3001+
    • Non-Engineering Students (Arts & Science)3419+
    • Engineering Students3571+
    • CTC Greater than 5 LPA4542+
    • Academic Percentage Less than 60%5583+
    • Career Break / Gap Students2588+
    28-Apr-2025
    Mon-Fri

    Weekdays Regular

    08:00 AM & 10:00 AM Batches

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

    30-Apr-2025
    Mon-Fri

    Weekdays Regular

    08:00 AM & 10:00 AM Batches

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

    03-May-2025
    Sat,Sun

    Weekend Regular

    (10:00 AM - 01:30 PM)

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

    04-May-2025
    Sat,Sun

    Weekend Fasttrack

    (09:00 AM - 02:00 PM)

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

      Hear it from our Graduate

      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 Ecil?

      • 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 Ecil

      Our Business Analytics Training in Ecil  has state-of-the-art labs and infrastructure to give you with hands-on training. In addition, we provide certification training in Business Analytics. We have successfully taught and placed many of our students in big international organizations after they have completed the Business Analytics Training course. We give 100% placement help to our students. We provide Classroom Training, Weekend Training, and a Fast Song Route for fun Business Analytics Training in Ecil. Students can select the most convenient journey times for them. Business Analytics Training course content is designed in light of current events and can assist students in fully grasping Business Analytics principles. From the fundamentals to advanced issues, we cover it all. Every topic covered in the Business Analytics Training may be described using examples from real-life circumstances. Our Business Analytics Experts are qualified professionals and trained experts who have worked on business analytics projects before.

      Our Business Analytics Training in Ecil has the infrastructure to provide you with hands-on training. In addition, we provide certification training in Business Analytics. We have efficaciously taught and positioned a number of our college students in Business Analytics global groups once they have completed the Business Analytics Training direction. We supply 100% placement help to our college students.


      Additional Info

      Introduction Business Analytics Certification Training In Ecil :

        Business Analytics defined:

        We provide Classroom Training, Weekend Training, and a Fast Song Route for a laugh Business Analytics Training in Ecil. Students can pick out the most on-hand journey times for them. Business Analytics Training direction content material fabric cloth fabric is designed in moderate of present-day sports activities and can assist university college students in truly grasping Business Analytics principles. From the fundamentals to advanced issues, we cover it all. Every situation count number covered withinside the Business Analytics Training may be described through the way of the use of examples from real-lifestyles circumstances. Our Business Analytics Experts are SAP-certified professionals that have hands-on facts with Business Analytics projects.

        Business Analytics described: The phrases are frequently used interchangeably, however, a difference does exist. Traditional records Analytics refers back to the method of studying massive quantities of gathered 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 fabric cloth fabric material and device that expedites the evaluation method.

        Specifically, Business Analytics refers to:

      • Taking in and processing historic Business records.
      • Analyzing the records to recognize tendencies, styles, and root reasons.
      • Making records-pushed Business options primarily based totally on the one's insights. In fantastic phrases, records Analytics is greater than a favored description of the present-day Analytics method. Business Analytics implies a narrower hobby and has functionally grown to be greater each day and further critical for groups throughout the vicinity as the general quantity of records has increased. Using a cloud Analytics device, groups can consolidate records from fantastic departments—income, advertising and advertising and advertising and advertising, and marketing and marketing 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 materials all varieties of specific insights withinside the direction of a complete business employer business enterprise.


      Tools Of Business Analytics Certification Training :

        Business Analytics device assists analysts to carry out the response business employer 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 likely paintings collectively to offer insights. While the Business Analytics device appears after the factors of crunching records and developing insights via critiques and visualization, the method begins offevolved offevolved offevolved with the infrastructure for bringing that fact in. The gift-day workflow for the Business Analytics method is as follows:

      • Data collection:
      • Wherever records come from, be it IoT devices, apps, spreadsheets, or social media, all of those records choose out to get pooled and centralized for access. Using a cloud database makes the gathering method extensively masses an entire lot a whole 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 analyzing algorithms can boost up this with the beneficial aid of the use of spotting styles and repeatable moves, which includes installing area metadata for records from specific sources, permitting records scientists to hobby greater in deriving insights as opposed to guiding logistical responsiBusiness Analyticslities.

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

      • Predictive Analytics:
      • Visualization and reporting structures can assist damage down the numbers and fashions so that the human eye can without trouble draw close to what's being presented. Not exceptional does this make suggests masses an entire lot a whole lot much less complicated, however, the one's varieties of the device also can assist each person from expert records scientists to Business customers unexpectedly discover new insights.

      • Visualization and reporting:
      • Business Analytics blessings affect each nook of your business employer business enterprise. When records withinside the direction of departments consolidate properly right proper right into Single shipping, it syncs up each person withinside the give up-to-give up method. This guarantees there aren't any gaps in records or communication, because of this unlocking blessing


      Benefits of Business Analytics Online Training :

        With Business Analytics, difficult options become smarter—and with the beneficial aid of the use of smart, because of this that they will be sponsored up with the beneficial aid of the use of records. Quantifying root reasons and figuring out tendencies creates a better manner to have a take a look at the destiny of a business employer business enterprise, whether or not or now no longer or now not or no longer or no longer it's far HR budgets, advertising and advertising, and advertising and advertising, and marketing and marketing and marketing and marketing campaigns, production and shipping chain desires or income outreach applications.

      • Data-pushed selections:
      • Unwieldy sections of facts might also additionally come to be smooth however effective visuals the use of Business Analytics software program software applications. Subjects are completed due to this. For starters, it makes insights approaches more available to Business customers with only a few mouse clicks. Second, through manner of the use of the beneficial aid of setting records in a visible format, the state-of-the-art mind may be exposed genuinely through manner of the use of the beneficial aid of seeing records uniquely.

      • Easy visualization:
      • PUnwieldy sections of records can be become easy however effective visuals using Business Analytics software program software applications. Subjects are completed because of this. For starters, it makes insights a ways greater available to Business customers with only a few mouse clicks. Second, through manner of using the useful resource of setting facts in a visible format, the state-of-the-art mind may be exposed genuinely through manner of using the useful resource of seeing facts uniquely.

      • Modeling the what-if situation:
      • Predictive Analytics creates fashions for customers to search for tendencies and styles in a manner to influences destiny outcomes. This formerly has to become the place of expert records scientists, however, with Business Analytics software program software utility software program software applications powered with the beneficial aid of the use of devices analyzing, the one's fashions may be generated withinside the platform.


      What is Business Analytics Online Training ?

        Business Analytics Online Training is a record manage to answer and Business intelligence subset refers to the use of methodologies that includes records mining, predictive analytics, and statistical evaluation to analyze and redesign records into beneficial records, recognize and anticipate tendencies and outcomes, and ultimately make smarter records-pushed Business options.

        The critical additives of an ordinary Business Analytics dashboard embody:

      • Data Mining:
      • To assist the evaluation, records need to first be gathered, organized, and filtered, every via volunteered records or transactional records.

      • Association and Sequence Identification:
      • Records mining for Business Analytics types via massive datasets the use of databases, records, and devices analyzing to recognize tendencies and set up relationships.

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

      • Forecasting:
      • Explores and organizes massive, 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 activities sports 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:
      • Predictive Business Analytics makes use of loads of statistical strategies to create predictive fashions, which extract records from datasets, recognize styles, and offer a predictive rating for an array of organizational outcomes.


      Most helpful 4 Types of Business Analytics Training :

      There are 4 high-quality types of enterprise business enterprise analytics, every of those is turning into greater sophisticated. They permit us to be at the inner song near growing real-time and destiny state of affairs making plans applications. Each of those types of enterprise business 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 employer business enterprise’s present records to understand what has taken vicinity withinside the pastor is taking area currently. Descriptive Analytics is an outstanding shape of Analytics because it employs records aggregation and mining strategies. It makes records greater on hand to human beings of a business employer business enterprise which includes investors, shareholders, advertising and advertising and advertising and advertising and marketing and marketing and marketing and marketing executives, and income managers. It can assist recognize strengths and weaknesses and offers a belief into purchaser conduct too. This allows informing techniques that may be superior withinside the area of focused advertising and advertising and advertising and advertising and marketing and marketing and marketing and marketing.

      2. Diagnostic Analytics:

      Our Training In Ecil is prepared the kind of Analytics that allows shift hobby from beyond ordinary standard basic overall performance to present-day sports activities sports and decides which elements are influencing tendencies. To discover the muse cause of sports activities sports, strategies that embody records discovery records mining, and drill-down are hired. Diagnostic Analytics uses pro-enterprise business enterprise Analyticslities, and likelihoods to understand why sports activities sports might also additionally moreover occur. Techniques that embody sensitivity evaluation and training algorithms are hired for type and regression.

      3. Predictive Analytics:

      This kind 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 devise fashions to extrapolate the danger of items. To run predictive evaluation, Machine Learning professionals are hired. They can accumulate a better diploma of accuracy than Business intelligence alone. One of the maximum, no longer unusualplace applications is sentiment evaluation. Here, present records are gathered from social media and are used to offer an entire image graph of a user's opinion. This fact is analyzed to are looking for his or her sentiment (effective, neutral, or negative).

      4. Prescriptive Analytics:

      Going a step past predictive analytics, it offers pointers for the following first-rate movement to be taken. It shows all favorable outcomes frequently with a specific course of movement and recommends the ideal actions had to supply the maximum favored result. It mainly is based mostly on topics, a robust feedback device, and a regular iterative evaluation. It learns the relation among moves and their outcomes. One no longer unusualplace use of this kind of Analytics is to create advice systems.

      Future Trends of Business Analytics :

      An accurate communicator:

      Being capable of gift findings easy and concisely is critical to ensuring that all gamer apprehends insights and can feature pointers into practice. People jogging withinside the evaluation need to have the monetary business enterprise Analyticslity to inform a tale with records via robust writing and presentation skills.

      Inquisitive:

      People in this place want to have a herbal interest and pressure to hold analyzing and identifying how topics suit collectively. Even as analysts become managers, it’s critical to live in contact with the Business and its changes.

      A Trouble Solver :

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

      A vital Thinker:

      Business Analytics professionals want to anticipate significantly approximately no longer exceptional the consequences of the records they collect however approximately what records they want to be accumulating withinside the number one area. They are predicted to analyze and spotlight exceptional records that would assist make options.

      A Visualizer:

      Disorganized records don’t assist each person. To create without a doubt properly really well worth from records, Analytics professionals want which will translate and visualize records concisely and efficaciously 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 pointers will affect the lowest line of a Business. There’s no trouble in having access to massive portions of records without the facts of the way it can be harnessed to analyze and beautify tactics, techniques, and techniques.

      Career Path of Business Analytics:

        1. Accelerated SaaS and Cloud Adoption:

        This year, increasingly more groups are looking for 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 not or no longer or no longer with the beneficial aid of the use of the 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 continues to enlarge at a massive pace; 95% of business employer business enterprise software program software utility software program software groups go through in mind it's far a need-to-have and 54% of businesses say it’s every critical or very critical to their Business initiatives, each day 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 beneficial aid of the use of PWC stated that AI can be a mainstream generation at their business employer business enterprise in 2021. Whether via personalization pushed with the beneficial aid of the use of device analyzing, augmented records prep, auto-charted records visualizations, or motives created through herbal language generation, synthetic intelligence generation has made its mark on Business Analytics and is right proper right here to live. Thanks to the device analyzing algorithms and superior neural networks, present-day Business Analytics answers empowered with augmented Analytics can discover anomalies, test unexpected sports activities sports, and dig even deeper to floor the maximum applicable and beneficial records feasible. Contrary to its call, synthetic intelligence allows humanize records and causes them to be greater on hand to all.

        3. Automation :

        Automation is up and trending this year – 64% of massive groups stated they used AI to automate records evaluation in 2020, up from 55% in 2019, each day 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 beneficial aid of the use of human beings, releasing up one's assets for fantastic, greater nuanced projects. As records Analytics scales up and records volumes expand constantly, automation can be critical to getting rid of guide records techniques, thinking about greater time spent on selection-making. The cappotential to unexpectedly test records and act at the outcomes defines Business intelligence, and automation speeds up Business techniques in any respect steps of the records workflow, making it masses an entire lot a whole 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 distance among computer systems and people with the beneficial aid of the use of getting rid of the want for any programming language – and it’s a fashion that has been reworking Business intelligence withinside the beyond few years. With an NLP-powered Business Analytics answer, withinside the choice to looking for to spend time and assets analyzing a way to ask questions, customers can ask their device in clean English just like what they will ask a colleague. NLP we ought to customers have interaction with records with the beneficial aid of the use of asking questions in herbal language and receiving applicable outcomes.NLP makes enterprise business enterprise intelligence greater on hand to non-technical customers through a way of simplifying it. Natural language generation (NLG) generates records in conversational language, permitting the Business Analytics device to reply to inquiries in consequences understandable phrases, which includes describing the critical trouble factors from a fine records visualization.

        5. Data Literacy and Data-Driven Cultures :

        Data Literacy and Data-Driven Cultures: Companies are starting to understand the significance of implementing records Analytics during their business employer business enterprise. Instead of maintaining apart the evaluation and selection-making techniques, groups withinside the meantime are looking for 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 trying to empower all degrees in their business employer business enterprise with records-pushed selection-making, however, to do so, they want to first defloration and enlarge an employer basis of statistical literacy.

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

        Some of the people who paintings withinside the analytics trouble are mainly inquisitive about the technical factors of the job. These statisticians cope with databases and code, to high-standard basic overall performance computing and parallel processing, further to device mastery. It is feasible to method records (manage the use of computer systems) and growth records (classify records sets) the use of this kind of device; the device mastery is used to generate forecasts that may be performed for business employer objectives.

        Salary Business Analytics Certification Training in Ecil:

        Business Analyst in Ecil earnings in Hyderabad degrees among ₹ 2.7 Lakhs to ₹ 16.0Lakhs with a not unusualplace annual earnings of ₹ 7. 0Lakhs. Salary estimates are based mostly on 51.8k salaries received from Business Analysts. Top Earners Of Business Analyst in Ecil is $118,500 annually. While a Business Analyst with 5-nine years of revel can anticipate earning approximately Rs 8,30,975, a Senior Business Analyst with over 15 years of revel in can anticipate earning 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 .

      Curriculum

      Syllabus of Business Analytics Course in Ecil
      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

      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 FAQs

      Looking for better Discount Price?

      Call now: +91-7669 100 251 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
      • 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 project experience, job support, and lifetime resources.
      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 76691 00251 / 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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