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Data Analytics Certification Training in Kenya

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  • Hands-On Learning in Data Analytics .
  • Best Practice for interview Preparation Techniques in Data Analytics .
  • Affordable Fees with Best curriculum Designed by Industrial Data Analytics Expert.
  • Delivered by 9+ years of Data Analytics Certified Expert | 12402+ Students Trained & 350+ Recruiting Clients.
  • Lifetime Access for Student’s Portal, Study Materials, Videos & Top MNC Interview Question.
  • Next Data Analytics Batch to Begin this week – Enroll Your Name Now!

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Upcoming Batches

25- Sep- 2023

Weekdays Regular

08:00 AM & 10:00 AM Batches

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

27- Sep- 2023

Weekdays Regular

08:00 AM & 10:00 AM Batches

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

30- Sep- 2023

Weekend Regular

(10:00 AM - 01:30 PM)

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

30- Sep- 2023

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Obtain Our Data Analytics Certification Training in Kenya

  • Data Analytics is a technology developed by experts in the sector. Instructors who are qualified and who have access to a lab.
  • Every year, we train about 15,000 college students. If you're having trouble deciding on a degree, ACTE experts can assist you in making an excellent system forecast.
  • Our professors have been delivering Data Analytics ByDesign courses for over 10 years.
  • Placement for freshers and working professionals is 100% guaranteed. Our novice employees are operating the most prestigious IT firm.
  • There are additional practical courses, comparable to theoretical studies, in which we regularly conduct practical courses with the help of the Best Trainers.
  • We've prepared all of the course materials provided by the teacher so that you'll be able to obtain a take a look at and a percentage with you at the end of the programmed.
  • 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

This is How ACTE Students Prepare for Better Jobs


Course Objectives

  • Communication skills: Business examiners should work in gatherings, gathering here and there thick, specialized data and introducing it to wide-going partners in the organization.
  • Business knowledge and critical thinking: Business examiners should comprehend numerous features of the organization they are working with. They should have the option to capture the jobs of various people and offices, and how these offices interface and rely on one another.
  • Technical skills: Business experts might utilize a wide scope of specialized projects, remembering programs for graphing, information crunching, wireframing, the executives of necessities, and the introduction of results.
  • Business analysis key concepts.
  • Understanding of Business Analysis planning and Monitoring (BAPM).
  • Understanding for elicitation and collaboration.
  • Understanding the Requirements Life cycle management.
  • Understanding Strategic Analysis.
  • Understanding Requirements Analysis and design definition.
  • Understanding basics of Solution evaluation Examination.
  • It's an obvious fact that data is all over the place. From fundamental numbers to multifaceted recipes, information furnishes organizations of all sizes with the data expected to follow deals and execution, present new items and benefits, and energize Data-driven business choices. To arrive at ideal execution and keep a strategic advantage, brands need to accumulate, dissect, and set out to utilize these huge informational indexes. This is the place where business examiners become possibly the most important factor.
  • Business examiners go about as contacts between interior offices by gathering, circulating, and overseeing organization information. Demand career paths for business investigators scouts hope to satisfy incorporate IT business expert, information examination researcher, framework examiner, business expert director, and software engineering information investigator.

    Listed are the roles and responsibilities of an influence BI developer:-

    • Understand the business needs and develop data models consequently.
    • Accountable for style methodology and project documentation.
    • Improving visual reports, dashboards, and KPI scorecards utilizing Power BI desktop.
    • Highly proficient in the analytical study for turning data into educational visuals and stories.
    • Excellent in creating DAX queries on Business Analyst desktop.

You don't want any coding skills to learn or work with Business Analyst. How if you want to figure on the far side what the essential Graphical computer program (GUI) of Business Analyst offers you, you'll research DAX, R or M, to make your job done. Business Analyst changes that. Any analyst will hook up with any information supply and quickly summarize findings into an easy report, no programming needed. Any surpass user snug with building models that reference different sheets or conducting advanced functions like operation can simply be ready to create the amendment to Business Analyst.

  • This course will give at least 21 expert instruction hours to fit the bill for the Entry Certificate in Business Analysis (ECBA) accreditation. This course will acquaint members with the International Institute of Business Analysis (IIBA) confirmations and give bit-by-bit rules on the affirmation interaction. MSBM/PSU/TP/03 © 2014 Mona School of Business, UWI, Mona.
  • This course will give IIBA enrollment giving you admittance to a wide scope of assets to guide and help you on your Business Analysis venture. These incorporate limits for accreditation, professional appraisal, and rules, free computerized library, and so on.
  • Practice genuine contextual investigations utilizing formats and gain from professionals.
  • Get perceived as a feature of an International tip-top proficient body and increment your height among peers and workgroups.
  • Apply the figuring out how to your work circumstances and further develop effectiveness, efficiency, and quality.
  • Master ideas like knowledge visualization and Integration
  • They are additionally answerable for reporting utilitarian and specialized plans of business frameworks.
  • To ensure that the framework is carried out accurately, they need to associate with the framework draftsmen and designers.
  • The Business examiner additionally cooperates with the partners and educated authorities to comprehend their concerns and needs.
  • Use and implement Custom Visuals
  • Explore Business Analyst metal Q&A
  • Perform knowledge Binding and data formatting

What is the Scope of a Career as a Business Analyst in Kenya?

  • The Business Analyst works with the business to perceive the chances so the business activity and cycles get improved.
  • The Business Analyst is likewise associated with the planning and alteration of the business framework.
  • Their essential job is to accumulate, record, and examine different business necessities.
  • They are additionally engaged with tackling business issues as required and planning specialized arrangements.
  • They additionally offer their help to test the framework and produce the framework documentation and client manuals.

What is the aim of Business Analyst Online Course in Kenya?

    Business Analyst is a variety of computer software services, apps, and connectors that job along to show your independent sources of data into coherent, visually immersive, and interactive insights. Your knowledge could also be an excel program or a group of cloud-based and on-premises hybrid data warehouses.

Who should take up this Business Analyst Certification Course?

  • Individuals trying to find jobs as Business Analysts, Business.
  • Development Managers, etc.
  • Statisticians progressing to implement their statistics skills to derive business insights.
  • Marketing, finance, sales, and different domain professionals who want intensive Business Intelligence.

What is a Business Analyst developer's average salary?

    The national average salary for a Business Analyst/Developer is MYR 604,31 per year in Kenya. Filter by location to see Business Analyst/Developer salaries in your area. Salaries estimates are based on 4 salaries submitted anonymously by Business Analyst/Developer employees.

What are Business Analyst tools?

    The top tools every Business Analyst must know:
  • Jira and Confluence
  • Trello
  • Rational Requisite Pro
  • Balsamiq
  • Pencil
  • Microsoft Visio
  • Google Docs.
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Overview of Data Analytics Certification Training in Kenya

Our Data Analytics Training in Kenya has brand new labs and infrastructure to offer you hands-on schooling. In addition, we offer certification schooling in Data Analytics. We have effectively taught and located a lot of our college students in Data Analytics global companies once they have finished the Data Analytics Training path. We deliver 100% placement assistance to our college students. We offer Classroom Training, Weekend Training, and a Fast Song Route for amusing Data Analytics Training in Kenya. Students can pick the maximum handy adventure instances for them. Data Analytics Training path content material is designed in mild of modern-day occasions and might help college students in absolutely greedy Data Analytics principles. From the basics to superior troubles, we cowl it all. Every subject matter blanketed withinside the Data Analytics Training can be defined by the use of examples from real-lifestyles circumstances. Our Data Analytics Experts are SAP-licensed specialists which have hands-on know-how with Data Analytics projects.

Additional Info

Introduction Data Analytics Certification Training In Kenya :

    Data Analytics defined:

    Data Analytics defined: The terms are often used interchangeably, but, a distinction does exist. Traditional statistics Analytics refers to the approach of analyzing massive portions of gathered statistics to get insights and predictions. Business statistics Analytics (from time to time stated as Data Analytics) takes that idea, but locations it withinside the context of Business notion, often with prebuilt Business content material cloth and system that expedites the assessment approach.

    Specifically, Data Analytics refers to:

  • Taking in and processing ancient Business statistics.
  • Analyzing the statistics to understand trends, patterns, and root motives.
  • Making statistics-driven Business alternatives based mostly on the one's insights. In exceptional terms, statistics Analytics is more than a desired description of the gift-day Analytics approach. Data Analytics implies a narrower cognizance and has functionally grown to be more every day and more crucial for businesses around the sector as the overall amount of statistics has increased. Using a cloud Analytics system, businesses can consolidate statistics from exceptional departments—earnings, marketing and marketing, and advertising, HR, and finance—for a unified view that shows how one department’s numbers can affect the others. Further, a system, which incorporates visualization, predictive insights, and scenario modeling delivers all types of unique insights in the course of an entire enterprise.

Tools Of Data Analytics Certification Training :

    Data Analytics system assists analysts to perform the responsiData Analyticslities available and generate evaluations that may be smooth for a layman to recognize. Business statistics Analytics has many individual components that are artwork together to provide insights. While the Data Analytics system looks after the elements of crunching statistics and growing insights through evaluations and visualization, the approach starts offevolved with the infrastructure for bringing that truth in. The latest workflow for the Data Analytics approach is as follows:

  • Data collection:
  • Wherever statistics come from, be it IoT gadgets, apps, spreadsheets, or social media, all of that statistics preference to get pooled and centralized for access. Using a cloud database makes the collection approach drastically much less complex.

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

  • Descriptive Analytics:
  • Descriptive statistics Analytics answers one's questions to assemble more know-how of the story behind the statistics.

  • Predictive Analytics:
  • With enough statistics—and enough processing of descriptive Analytics — a Data Analytics system can start to assemble predictive models based mostly on trends and ancient context. These models can for that reason be used to inform future alternatives concerning Business and organizational choices.

  • Visualization and reporting:
  • Visualization and reporting systems can help spoil down the numbers and models so that the human eye can without issues draw near to what is being presented. Not only does this make shows much less complex, but, the one's types of system can also help anybody from professional statistics scientists to Business clients rapidly find out new insights.

Benefits of Data Analytics Online Training :

    Data Analytics advantages affect every corner of your enterprise. When statistics in the course of departments consolidate properly into a single delivery, it syncs up every person withinside the surrender-to-surrender approach. This ensures there are not any gaps in statistics or communication, for that reason unlocking advantages which encompass:

  • Data-pushed selections:
  • With Data Analytics, tough alternatives come to be smarter—and with the resource of the use of smart, that means that they are backed up with the resource of the use of statistics. Quantifying root motives and identifying trends creates a higher way to have a look at the future of an enterprise, whether or not or now no longer it is HR budgets, marketing and marketing, and advertising campaigns, manufacturing and transport chain desires or earnings outreach applications. Easy visualization:

  • Easy visualization:
  • Unwieldy sections of information can be turned into smooth yet effective visuals using Data 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:
  • Predictive Analytics creates models for clients to look for trends and patterns as a way to affect future outcomes. This previously has become the vicinity of professional statistics scientists, but, with Data Analytics software program applications powered with the resource of the use of gadgets mastering, the one's models can be generated withinside the platform. Go Augmented:

  • Go Augmented:
  • All of the following factors are taken into account when considering the techniques used by Business Statistics Analytics to speed up user-driven insights. However, the power of enhanced Analytics is unleashed when the Data Analytics software program application is driven by the usage of tool mastery and artificial intelligence. To automate techniques and create insights without human Data Analytics, Augmented Analytics makes use of the ability to self-learn, adapt, and approach large amounts of data.

What is Data Analytics Online Training ?

    Data Analytics Online Training, is a statistics manipulate to reply and Business intelligence subset, refers to the use of methodologies that incorporates statistics mining, predictive analytics, and statistical assessment to research and remodel statistics into useful information, understand and anticipate trends and outcomes, and ultimately make smarter statistics-driven Business alternatives.

    The vital components of a normal Data Analytics dashboard encompass:

  • Data Aggregation:
  • Data Mining:
  • In advance of the assessment, statistics want to first be gathered, organized, and filtered, each through volunteered statistics or transactional data.

  • Association and Sequence Identification:
  • statistics mining for Data Analytics types through massive datasets the use of databases, data, and gadgets mastering to understand trends and installation relationships.

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

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

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

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

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

Most helpful 4 Types of Data Analytics Training :

There are four distinct forms of Data Analytics, each of which is becoming more sophisticated. They allow us to be on the inside track when it comes to developing real-time and future scenario planning programs. Each of these forms of Data Analytics is described in the following sections.

1. Descriptive Analytics

2. Diagnostic Analytics

3. Predictive Analytics

4. Prescriptive Analytics

1. Descriptive Analytics:

Descriptive Analytics summarizes an enterprise’s gift statistics to recognize what has occurred withinside the pastor is taking location currently. Descriptive Analytics is the most effective form of Analytics as it employs statistics aggregation and mining techniques. It makes statistics more accessible to participants of an enterprise which incorporates investors, shareholders, marketing and marketing and advertising executives, and earnings managers. It can help understand strengths and weaknesses and provides a notion into consumer behavior too. This enables informing strategies that can be advanced withinside the place of focused marketing and marketing and advertising.

2. Diagnostic Analytics:

Our Training In Kenya is ready the kind of Analytics that enables shift cognizance from past ordinary overall performance to gift-day activities and determine which factors are influencing trends. To find out the inspiration purpose of activities, techniques which encompass statistics discovery, statistics mining, and drill-down are employed. Diagnostic Analytics makes use of pro-Data Analyticslities, and likelihoods to recognize why activities might also occur. Techniques that encompass sensitivity assessment and training algorithms are employed for kind and regression.

3. Predictive Analytics:

This kind of analytics is used to forecast the possibility of a future event with the help of statistical models and ML techniques. It builds on the result of descriptive Analytics to devise models to extrapolate the danger of items. To run predictive assessment, Machine Learning experts are employed. They can acquire a higher degree of accuracy than Business intelligence alone. One of the most, now no longer unusualplace programs is sentiment assessment. Here, gift statistics are gathered from social media and are used to provide a whole picture graph of a user's opinion. This truth is analyzed to are watching for their sentiment (positive, neutral, or negative).

4. Prescriptive Analytics:

Going a step beyond predictive analytics, it provides tips for the subsequent first-rate motion to be taken. It suggests all favorable outcomes regularly with a selected route of motion and recommends the appropriate actions needed to deliver the most desired result. It particularly is primarily based totally on subjects, a strong comments tool, and a regular iterative assessment. It learns the relation between actions and their outcomes. One now no longer unusualplace use of this kind of Analytics is to create recommendation structures.

Future Trends of Data Analytics :

A correct communicator:

Being able to present findings surely and concisely is vital to making sure that each one gamer apprehends insights and can function tips into practice. People working withinside the assessment want to have the Data Analyticslity to tell a story with statistics through strong writing and presentation capabilities.


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

A Trouble Solver :

Professionals in Analytics use a mixture of logical questioning, predictive Analytics, and data to make tips as a way to remedy troubles and propel a Business ahead. In a profession that seeks to expose statistics to solutions, being a natural problem solver enables be part of the dots.

A vital Thinker:

Data Analytics specialists need to assume significantly about now no longer only the effects of the statistics they collect but about what statistics they should be accumulating withinside the primary location. They are expected to research and highlight only the statistics that would help make alternatives.

A Visualizer:

Disorganized statistics don’t help anybody. To create nicely really well worth from statistics, Analytics specialists need for you to translate and visualize statistics concisely and effectively that’s smooth to digest.

Both detail-orientated and a Huge Photo Thinker:

While Data Analytics specialists have for you to deal with complex statistics, moreover they need to recognize how their tips will affect the bottom line of a Business. There’s no component in getting access to massive quantities of information without the know-how of how it can be harnessed to research and decorate tactics, approaches, and strategies.

Career Path of Data Analytics:

    1. Accelerated SaaS and Cloud Adoption:

    This year, increasingly companies are looking for migrating to the cloud and leverage all the advantages of cloud-based Data Analytics, whether or not or now no longer with the resource of the use of net hosting it themselves on a non-public or public cloud or subscriData Analyticsng to a Software as a Service (SaaS) answer. The name for cloud Data Analytics keeps to broaden at a massive pace; 95% of enterprise software program application companies undergo in thoughts it's miles a want-to-have and 54% of corporations say it’s each crucial or very crucial to their Business initiatives, regular with Dresner’s 2020 Cloud Computing & Business Intelligence Market Report.

    2. AI Will Be the New Data Analytics:

    Companies in the course of the U.S. are ramping up their AI investments in a post-COVID world, with the ramifications positive to reflect in years to come; 86% of executives surveyed with the resource of the use of PWC said that AI may be a mainstream era at their corporation in 2021. Whether through personalization driven with the resource of the use of tool mastering, augmented statistics prep, auto-charted statistics visualizations, or reasons created thru natural language era, artificial intelligence era has made their mark on Data Analytics and are proper right here to stay. Thanks to the tool mastering algorithms and advanced neural networks, gift-day Data Analytics solutions empowered with augmented Analytics can find out anomalies, take a look at surprising activities, and dig even deeper to ground the most relevant and useful information possible. Contrary to its name, artificial intelligence enables humanize statistics and makes them more accessible to all.

    3. Automation :

    Automation is up and trending this year – 64% of massive businesses said they used AI to automate statistics assessment in 2020, up from 55% in 2019, regular with Adobe’s 2020 Digital Trends Report. Automation can cope with monotonous responsiData Analyticslities and time-consuming responsiData Analyticslities otherwise finished with the resource of the use of humans, freeing up one's belongings for exceptional, more nuanced projects. As statistics Analytics scales up and statistics volumes develop constantly, automation may be critical to removing manual statistics approaches, considering more time spent on selection-making. The potential to rapidly take a look at statistics and act on the outcomes defines Business intelligence, and automation accelerates Business approaches the least bit steps of the statistics workflow, making it much less complex for clients to get the answers to their Business questions that they need.

    4. Natural Language Processing :

    Natural Language Processing: Natural language processing (NLP) bridges the space amongst laptop structures and those with the resource of the use of removing the need for any programming language – and it’s a style that has been reworking Business intelligence withinside the past few years. With an NLP-powered Data Analytics answer, in the desire to looking to spend time and belongings mastering a manner to invite questions, clients can ask their tool in simple English much like what they could ask a colleague. NLP shall we clients interact with statistics with the resource of the use of asking questions in natural language and receiving relevant outcomes.NLP makes business intelligence more accessible to non-technical clients by simplifying it. Natural language generation (NLG) generates information in conversational language, allowing the Data Analytics system to respond to inquiries in easily comprehensible terms, such as describing the key points from a certain statistics visualization.

    5. Data Literacy and Data-Driven Cultures :

    Data Literacy and Data-Driven Cultures: Companies are beginning to recognize the importance of implementing statistics Analytics for the duration of their enterprise. Instead of preserving aside the assessment and selection-making approaches, companies in the intervening time are searching for to placed insights first, letting their statistics inform every selection, from placing wants to developing strategies and on the stop taking motion. Businesses are also seeking to empower all degrees of their enterprise with statistics-driven selection-making, but, to do so, they must first install and grow an employer foundation of statistical literacy.

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

    Some people who work in the analytics field are particularly interested in the technical aspects of the job. These statisticians deal with databases and code, as well as high-performance computing and parallel processing, as well as tool mastery. It is possible to approach statistics (manipulate it using laptop structures) and build up statistics (classify statistics sets) using such a system; the tool mastery is used to generate forecasts that can be utilized for commercial objectives.

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

    The potential to provide tough statistics and assessment withinside the form of charts and tables (i.e., in a way that everyone can recognize it!) is especially crucial withinside the Business world. Skilled statistics scientists are also commonly striving to hold the modern-day on a new and growing system that would help them to do their hobby higher, like Python, Spark, Scala, and Julia, to name only some. Many folks who go at once to get an MS in Data Analytics and are interested in this part of the sector have backgrounds in engineering, mathematics, or accounting. They enjoy com Data Analyticsng through statistics and the use of the statistical system to find out patterns.

    8. Data Scientist, With An Emphasis On Analysis :

    Not all statistics scientists are created equal. Some folks who enter the sector have an additional interest in assessment and modeling than they do in computer technological knowledge. Compared with the previous kind of statistics scientist (it truly is heavy on computer technological knowledge), this route focuses more on math and data. With great facts of data and coding capabilities, statistics scientists assemble complicated models and simulations in a massive statistics environment.

    Bentley college students who're excited with the aid of using this professional direction can be inquisitive about any of those facts technological know-how electives:

  • Web-Based Application Development.
  • Data Management Architectures.
  • Business Intelligence Methods & Technologies.
  • Object-Oriented Application Development.
  • Quantitative Analyst/Modeler.
  • “Quants,” as they are from time to time stated as, commonly artwork withinside the financial Business and use statistics and statistics modeling to help manipulate risk. They often use statistical models to resource investment alternatives, which end up in more reliable and everyday outcomes. People who select this song commonly have backgrounds in mathematics, technological knowledge, computer technological knowledge, or engineering. Here, employers are looking lots much less for people with conventional Business analytic capabilities and more for humans with an inherent ability for medical questioning. The potential to artwork with mathematical models is more treasured absolutely because it offers more concrete outcomes—and avoids the risks associated with human reasoning.

Salary :

Business Analyst in Kenya earnings in Maharashtra ranges amongst ₹ 2.7 Lakhs to ₹ 16.0 Lakhs with average annual earnings of ₹ 7. 0 Lakhs. Salary estimates are based mostly on 51.8k salaries received from Business Analysts. Top Earners Of Business Analyst in Kenya is $118,500 annually.

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Key Features

ACTE offers Data 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 Data Analytics Course in Kenya
Module 1
  • Introduction to Data Science
  • Analytical Terminology, Analytical Methodology
  • Introduction to SAS, R, R-studio interface
  • Data Collection, Creating Datasets
  • Reading Data From External Files (.Txt, .Xls, .Csv) — Tasks
  • Data Exploration: Proc Print, Proc Contents —Tasks
  • Data Exploration: ProcGchart, ProcGplot —- Tasks
  • Data Exploration: Statistical Terminology
  • Data Exploration: Understanding Probability
  • Data Exploration : Analyzing Categorical Data (ProcFreq) — Tasks
  • Data Exploration : Hypothesis, Types of Errors
  • Data Preparation: Arranging the data: Proc Sort, Proc Format-Tasks
  • Data Preparation: Keeping, Dropping, Renaming, Transposing
  • Data Preparation: Using SAS Functions — Tasks
  • Data Preparation: Conditional Processing, By group Processing -Tasks
  • Data Preparation: Combining Data sets — Tasks
  • Data Preparation: Do-Loops, Arrays
  • Statistics: ProcFreq
  • Statistics: ProcTtest, ProcAnova
  • Proc Npar1way
Module 2
  • Data Mining: Introduction
  • Introduction to Regression: ProcCorr, ProcReg
  • Dimensionality Reduction Techniques: Proc Factor
  • Dimensionality Reduction Techniques: ProcPrincomp
  • Dimensionality Reduction Techniques: ProcDiscrim
  • Clustering: Introduction
  • Clustering case study — Task
  • Association Rules — Introduction
  • Association Rules — Case study: Task
  • Density Estimation: Proc KDE
Module 3
  • ProcReg: Case study — Task
  • ProcReg: Model Diagnostics — Task
  • Introduction to Logistic Regression
  • Proc Logistic -Case study, — Task
  • Introduction to Decision Trees
  • ProcDtree, Case study — Task
  • Introduction to SVM, Naive Bayes, Case study
  • Introduction to Neural nets,
  • Neural Nets – the Case study
  • Introduction to KNN, Case study — Task
  • Introduction to Bagging and Boosting
  • Ensemble methods Case study
  • Reinforcement Learning
Module 4
  • Introduction to Time series
  • Proc Arima — Case study — Task
  • Introduction to Text Analytics
  • Sentiment Analysis in R — Case study
  • Introduction to Optimization
  • Optimization — Case study
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Hands-on Real Time Projects for Data Analytics Certification Training in Kenya

Project 1
K-means clustering for topic modelling

Each observation—or, for our purposes, each document—can be assigned to one and only one cluster in k-means clustering.

Project 2
Telecom Churn Prediction

The churn metric is typically displayed as the percentage of customers who cancel a product or service within a given time frame.

Project 3
Wine Preference Prediction

This dataset contains the fundamental characteristics that influence wine quality.

Project 4
Recognizing Product Bundles

Many sellers on e-commerce platforms provide buyers with product bundles, which combine two or more different items.

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 Data 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 Data Analytics aid students in constructing a resume that is relevant to current industry needs.

Get Certified By Data 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 Data Analytics Training Mentors

  • Our Data 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 Data 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 Data Analytics Training from recognized IT organizations.

Data Analytics Course Reviews

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



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

Dinesh Karthik


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



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



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



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

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Data Analytics Course FAQs

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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 Data 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 Data Analytics Course At ACTE?

  • Data Analytics Course in ACTE is designed & conducted by Data Analytics experts with 10+ years of experience in the Data 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 Data Analytics batch to 5 or 6 members
Our courseware is designed to give a hands-on approach to the students in Data 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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