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Data Analytics Training

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  • Affordable Fees with Best curriculum Designed by Industrial Data Analytics Expert.
  • Delivered by 11+ years of Data Analytics Certified Expert | 12540+ Students Trained & 380+ Recruiting Clients.
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Upcoming Batches

29- May - 2023

Weekdays Regular

08:00 AM & 10:00 AM Batches

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

31- May - 2023

Weekdays Regular

08:00 AM & 10:00 AM Batches

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

03- Jun - 2023

Weekend Regular

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

03- Jun - 2023

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Online Courses by Certified Experts

Learn From Experts, Practice On Projects & Get Placed in IT Company

  • 100% Guaranteed Placement Support for Freshers & Working Professionals
  • You will not only gain knowledge of Data Analytics Certification and advanced concepts, but also gain exposure to Industry best practices
  • Experienced Trainers and Lab Facility
  • Data Analytics Professional Certification Guidance Support with Exam Dumps
  • Practical oriented / Job oriented Training. Practice on Real Time project scenarios.
  • We have designed an in-depth course so meet job requirements and criteria
  • Resume & Interviews Preparation Support
  • Concepts: Data Science course in the market, covering the complete Data Science life cycle concepts from Data Extraction, Data Cleansing, Data Integration, Data Mining, building Prediction models and Data Visualization. Skills and tools ranging from Statistical Analysis, Text mining, Regression models, Natural Language Processing (NLP), Hypothesis testing, Predictive Analytics, Machine Learning, R Studio, Tableau, programming languages like R, Python for Data Science.
  • Classroom Batch Training
  • One To One Training
  • Online Training
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This is How ACTE Students Prepare for Better Jobs


Course Objectives

Data Analytics Certification courses are designed to help people develop their data analysis skills and employ them in order to become more effective and efficient decision makers. These courses provide participants with the knowledge and skills needed to analyze large datasets and uncover hidden insights.
  • To develop an understanding of the fundamentals of data analytics
  • To gain knowledge on the various data analysis techniques
  • To understand the importance of data visualization
  • To develop the skills to interpret and present data
  • To learn how to use advanced analytics tools and techniques
  • To gain hands-on experience in data mining and predictive analytics
Yes, data analytics trends that will lead the tech industry in 2023 include artificial intelligence (AI), machine learning, big data, and cloud computing. AI and machine learning will continue to be key components of data analytics, as they offer automated decision making and predictive insights.
Yes, there is a great demand for Data Analytics Training. Data Analytics is a rapidly growing field, and organizations are in need of professionals with the skills to analyze and interpret data. As the amount of data available continues to grow, the demand for data analysts is expected to increase.
The requirements for the Data Analytics Course vary depending on the program. Generally, applicants must have a Bachelor’s degree in a related field (e.g. computer science, mathematics, statistics, economics, business, etc.).
The future of data analytics is very bright, as the demand for data-driven decisions is increasing. Organizations of all sizes are looking for professionals who can analyze data and interpret it in order to make informed decisions. Data analytics is being used in a variety of industries, such as finance, healthcare, retail, and manufacturing, and it is expected to continue to grow.
In order to practice in a Data Analytics lab, you need to access a lab that offers data analytics services. There are many organizations and universities that offer data analytics labs and courses. These courses usually include hands-on practice and allow students to access real-world data.

What are the job roles offered to Data Analytics Professionals?

Data Analytics Professionals can pursue a variety of job roles, such as Data Analyst, Business Intelligence Analyst, Data Scientist, and Machine Learning Engineer. Depending on their experience and expertise, they can also specialize in other fields, such as predictive analytics, data visualization, and data warehousing.

What are the skills that you will learn in our Data Analytics Online Training?

The skills that you will learn in our Data Analytics Online Training include data collection and cleaning, data exploration and analysis, machine learning, predictive analytics, data visualization, and communication. Additionally, you will gain experience in using various data analytics tools, such as Python, R, SQL, Tableau, and Excel.

What jobs can you get in Data Analytics Training?

The jobs that you can get in Data Analytics Training include Data Scientist, Data Analyst, Business Intelligence Analyst, Machine Learning Engineer, and Predictive Analytics Expert. Depending on your experience and expertise, you may also be able to specialize in fields such as data visualization, data warehousing, and natural language processing.

How can Online Courses help you learn Data Analytics?

Online courses can help you learn data analytics by providing access to course material such as lectures, case studies and exercises. You can practice data analysis techniques, work on projects with real datasets, and receive feedback from instructors and peers.

What are the advantages of being a Data Analytics?

  • Ability to solve complex problems and uncover insights
  • Developing data-driven strategies to improve efficiency
  • Understanding and interpreting data to identify trends and patterns
  • Developing data models and algorithms to uncover hidden information
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About Data Analytics Online Training Course

ACTE’s online Data Analytics course is designed to help learners understand the concepts of data analysis and develop the skills required for a successful career in this field. The course covers topics such as data visualization, predictive analytics, machine learning, big data, and more. Learners will have access to real-world projects and case studies that can be used to practice their newly learned skills. The Data Analytics course provides an overview of the most popular techniques used in data analysis today. Learners will gain an understanding of basic principles such as descriptive statistics and hypothesis testing. They will also learn topics related to predictive analytics including regression models, neural networks, decision trees, clustering algorithms and text mining techniques. In addition to these core topics, learners will gain experience with applying these techniques on large datasets using tools such as Microsoft Excel or R programming language.


Additional Info

Future Frameworks For Data Analytics ?

Future frameworks for data analytics will focus on making data analysis easier, faster, and more efficient.

One framework that is gaining popularity is Apache Spark. Apache Spark is a fast and general-purpose cluster computing system that can handle large amounts of data quickly. It has an extensive library of algorithms for machine learning, streaming analytics, graph processing and SQL queries. Furthermore, it provides APIs in Java, Scala and Python to enable developers to quickly build applications using the same unified engine.Another popular framework is TensorFlow. TensorFlow was developed by Google to provide a powerful tool for doing machine learning tasks such as image recognition or natural language processing (NLP). It also provides an interface called Keras which makes it easier to use high-level neural networks without having to write code from scratch. Additionally, it has tools for deploying models into production environments and supports distributed training on multiple GPUs or machines so that large datasets can be handled easily.

Finally there are a number of other frameworks such as H2O AI Platforms which are designed specifically for deep learning; Amazon SageMaker which allows users to quickly build and deploy models; Microsoft Azure Machine Learning Studio which enables users to rapidly build predictive models; IBM Watson Machine Learning Accelerator which simplifies the deployment process; and Google Cloud ML Engine which helps developers train models at scale with minimal effort and cost. All these platforms offer powerful tools that allow businesses to analyze big data quickly while providing insights into customer behavior or market trends in order to make better decisions going forward.

What Are The Prerequisites For Data Analytics Online Course?

The prerequisites for a data analytics online course vary depending on the course. Generally, you should have a basic understanding of mathematics, computer programming, and statistics, as well as an understanding of data analysis and data modeling. Some courses may also require knowledge of a specific software program or programming language. In addition, some courses may require basic knowledge of databases, web technologies, and data visualization.

Why Data Analytics Online Course From ACTE?

Data analytics online courses from ACTE are a great way to gain the skills and knowledge needed to become a successful data analyst. The courses provide a comprehensive overview of the data analytics process, from collecting and analyzing data to interpreting results and making business decisions. The courses are designed to help learners understand the fundamentals of data analytics, gain an understanding of the various data analytics tools, and develop the necessary skills to use them effectively. Additionally, the courses can be tailored to meet the needs of any learner, whether they are new to the field or looking to advance their existing knowledge.

How Should They Utilise Data Analysis?

Now that we've seen what data analysis is, let's understand how it can be used.

  • Better decision-making: Data analysis eliminates guesswork and manual work. Selecting appropriate content, planning marketing campaigns, developing products, etc. Organizations can use insights gained from data analysis to make informed decisions. This leads to better results and customer satisfaction.

  • Better customer service: With the help of data analytics, customer service can be adapted to customer needs. It also offers personalization and builds stronger relationships with customers. The analyzed data can reveal information about customer interests, concerns and more. It helps us to better recommend products and services.

  • Efficient operations: With the help of data analytics, we can streamline processes, save money and increase production. By better understanding what your audience wants, you can spend less time creating ads and content that doesn't fit your audience's interests.

  • Effective marketing: Data analytics provide valuable insight into campaign performance. This will help you fine-tune for optimal results. Additionally, you can find the leads most likely to engage in campaigns and convert to leads.

What Are The Procedures Involved In Data Analysis Online Course ?

  • Understanding the problem: Understanding the business problem, defining business goals, and planning profitable solutions are the first steps in the analysis process. E-commerce businesses often encounter problems such as predicting product returns, recommending related products, canceling orders, detecting fraud, and optimizing vehicle routes.

  • Data collection: Next, you need to collect transaction-related business and customer data. Relevant information from the past few years to address issues facing businesses. The data may include information about total product sales, sales and profits, and the time an order was placed. Historical data plays an important role in shaping the future of a company.

  • Data Cleansing: All data collected is often chaotic and chaotic and contains unwanted missing values. Such data is not suitable for performing data analysis. Therefore, you should clean your data to remove unnecessary, redundant, or missing values ​​and make it ready for analysis.

  • Data Exploration and Analysis: Once you have collected the right data, the next important step is to perform exploratory data analysis. Data visualization and business intelligence tools, data mining techniques, and predictive modeling can be used to analyze, visualize, and predict future outcomes from that data. Applying these methods can provide insight into the influence and relationships of specific traits on other variables.

  • Interpret the results: The final step is to interpret the results and verify that the results are what you expected. This gives you insights that help you make better data-driven decisions.

Tools Used In Data Analysis

Now that we have seen different steps of data analysis, let's take a look at data analysis tools to perform the above steps. In this blog, we'll discuss seven data analysis tools, including several programming languages, that can help you perform your analysis better.

Python: Python is an open source, object-oriented programming language. It supports dozens of libraries for data manipulation, data visualization, and data modeling.

R: R is an open source programming language primarily used for numerical and statistical analysis. It provides a set of libraries for data analysis and visualization.

Tableau: A simple data visualization and analysis tool. This allows you to create a variety of visualizations to view your data interactively, as well as reports and dashboards to show insights and trends.

Power BI: Power BI is a business intelligence tool with simple drag and drop functionality. Supports multiple data sources with the ability to make data visually appealing. Power BI supports features that help you ask questions of your data and gain instant insights.

QlikView: QlikView provides interactive analytics using in-memory storage technology to analyze large amounts of data and use data discovery to support decision making. Provides social data discovery and interactive guided analysis. Manipulate massive datasets with precision and in seconds.

Apache Spark: Apache Spark is an open source data analytics engine that processes data in real time and performs advanced analytics using SQL queries and machine learning algorithms.

SAS: SAS is statistical analysis software that allows you to perform analytics, visualize data, write SQL queries, perform statistical analysis, and build machine learning models to make future predictions.

What Are The Skill Sets To Be Developed For Data Analytics ?

Problem-solving Skills: Data analytics revolves around solving problems using data. Therefore, problem-solving skills are essential for data analytics professionals. Problem-solving involves analyzing data, identifying patterns and trends, and developing relevant insights to drive decisions that can improve business performance.

Business Acumen: Data analysts must understand the company’s business goals and objectives in order to identify areas where improvements can be made through the use of data analytics tools and techniques. They need to have a deep understanding of the market conditions and industry dynamics so they can make informed decisions about how best to leverage their analysis for maximum benefit.

Technical Skills: Technical skills are essential for all data analysts as they will be working with different types of software applications and databases on a daily basis such as SAS, R Programming Language, or Python among others .They must also have knowledge of SQL which is used by many businesses to store large amounts of structured data in relational databases. In addition, they should be proficient in Excel which is commonly used for managing small datasets and creating basic reports or visualizations from them quickly without having to learn complex software applications such as Tableau or Power BI etc..

Communication & Interpersonal Skills: Communication is key when it comes to translating complex technical concepts into simple language that can be understood by stakeholders at all levels within an organization – from executives down through middle management right down line staff who may not necessarily have a background in technology or math/statistics etc.. Good interpersonal skills also help when interacting with clients or colleagues from other departments who need clarification on certain aspects related to the analysis being conducted by the analyst team etc.. In addition , good writing skills are important since many times an analyst may need write up summary reports for senior management outlining their findings/recommendations based on their analysis work done previously .

Analytical Mindset: Data analysts must have the ability to think critically and analytically in order to interpret data correctly and draw meaningful conclusions from it. They need to be able to identify patterns and trends in large datasets and use their findings to develop insights that can drive decisions for the business. To do this, they must have a good understanding of mathematics, statistics, probability theory, and other related disciplines. They must also be comfortable working with large datasets and creating visualizations from them that can be easily understood by decision makers.

Data analysis Application:

Data analytics are used in almost every area of ​​business. Let's discuss some of them.

  • Retail: Data analytics helps retailers understand customer needs and buying habits, predict trends, recommend new products, and drive business. Optimize supply chain and retail at every stage of the customer journey.

  • Healthcare: The healthcare industry analyzes patient data to provide life-saving diagnostics and treatment options. Data analytics can also help discover new drug development methods.

  • Manufacturing: With the help of data analytics, manufacturing departments can find new opportunities for cost reduction. Complex Supply He can solve chain problems, work restrictions and equipment failures.

  • Banking Sector: Banks and financial institutions use analytics to determine potential loan defaults and customer churn rates. It also helps detect fraudulent transactions instantly.

  • Logistics: Logistics organizations use facts analytics to broaden new commercial enterprise fashions and optimize routes. This guarantees that your shipping arrives on time in a cost-powerful manner.

What Is The Career Scope For Data Analytics ?

Data analytics is a rapidly growing field with a variety of career options. There are many different roles that require data analytics skills, including data scientist, business analyst, database administrator, statistician, and more. Data analysts can work in fields such as finance, healthcare, marketing research, telecommunications and more. They use their analytical skills to identify trends in large datasets and draw meaningful insights from them.

Data analysts can also develop algorithms to automate decision making processes or predict outcomes based on past behavior. Companies often rely on data analytics professionals to make informed decisions about how to allocate resources or improve customer experience. With the rise of big data analysis and machine learning technologies over the past decade, the demand for qualified data analysts has increased significantly.

When it Comes to Data Analytics, What Kind of Employment Openings can We Expect to See?

Data analytics has become one of the most in-demand careers in the world, as organizations from all industries are now looking to leverage data to improve their operations and gain an edge over competitors. With this trend, job opportunities for data analytics professionals have grown exponentially.

Data analysts use software tools like SQL and Python to analyze large datasets and interpret trends or patterns within them. They possess a deep knowledge of statistical models, machine learning algorithms, and predictive analytics techniques that allow them to understand current results and anticipate future outcomes. Companies hire data analysts to help make decisions by analyzing large amounts of structured or unstructured data. The most common roles in the field of data analytics include:

  • Data Analyst: These professionals analyze large datasets using various methods such as descriptive statistics, linear regression, cluster analysis, and decision trees. Data analysts are responsible for preparing reports based on their findings that can be used by other departments or organizations for business decisions.

  • Business Intelligence (BI) Analyst: BI Analysts apply advanced analytical methods such as predictive modeling and time series forecasting to draw insights from complex datasets. Their primary goal is to provide information that helps companies answer questions about their customers’ needs, market trends, product performance etc., which can help them develop better strategies for success.

  • Data Scientist: This role involves combining programming skills with analytical abilities in order to uncover hidden patterns within large datasets using sophisticated tools like Hadoop MapReduce or Apache Spark MLlib . The insights gained from these analyses can be used to make informed business decisions based on customer behavior patterns or market trends among others .

  • Database Administrator (DBA): DBAs are responsible for managing databases such as MySQL , Oracle , SQL Server , PostgreSQL etc., which store crucial organizational data . They work with database developers on designing efficient database systems that scale effectively with company growth while ensuring high levels of security at all times .

  • Data engineers : These professionals design systems capable of processing massive amounts of structured/unstructured data while adhering strictly with industry regulations regarding scalability , reliability , privacy, etc., so organizations can access timely actionable insights when required .

Online class

ACTE provides participants with the knowledge and skills necessary to understand and analyze data in order to develop actionable insights. The course covers topics such as data collection, data storage, data analysis, data visualization, and data-driven decision making. Participants will learn how to use a variety of popular tools and techniques to explore, identify trends, and gain insights from data. Additionally, the course will discuss various best practices for data analysis, including how to make a data-driven decision and how to communicate results to stakeholders.

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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 Online Training Course

Module 1: Descriptive Statistics

  • 1. Introduction to the course
  • 2. Descriptive Statistics
  • 3. Probability Distributions

Module 2: Inferential Statistics

  • 1. Inferential Statistics through hypothesis tests
  • 2. Permutation & Randomization Test

Module 3: Regression & ANOVA

  • 1. Regression
  • 2. ANOVA(Analysis of Variance)

Module 4: Machine Learning: Introduction and Concepts

  • 1. Differentiating algorithmic and model based
  • 2. frameworks
  • 3. Regression : Ordinary Least Squares, Ridge
  • 4. Regression, Lasso Regression

Module 5: Supervised Learning with Regression and Classification techniques -1

  • 1. Bias-Variance Dichotomy
  • 2. NPTEl
  • 3. Department of Management
  • 4. StudiesIIT Madras
  • 5. Model Validation Approaches
  • 6. Logistic Regression
  • 7. Linear DiscriminantAnalysis
  • 8. Quadratic DiscriminantAnalysis
  • 9. Regression and Classification Trees
  • 10. Support Vector Machines

Module 6: Supervised Learning with Regression and Classification techniques -2

  • 1. Ensemble Methods: Random Forest
  • 2. Neural Networks
  • 3. Deep learning

Module 7: Unsupervised Learning and Challenges for Big Data Analytics

  • 1. Clustering
  • 2. Associative Rule Mining
  • 3. Challenges for big data anlalytics

Module 8: Prescriptive analytics

  • 1. Creating data for analytics through designed experiments
  • 2. Creating data for analytics through Active learning
  • 3. Creating data for analytics through Reinforcement learning
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Hands-on Real Time Data Analytics Projects

Project 1
Market Basket Analysis project

As a new manager in the company, you are assigned the task of increasing cross selling.

Project 2
Loan Approval Prediction project

Predict the approval rate of a loan by using multiple labels.

Our Top Hiring Partner for Placements

ACTE offers placement opportunities as add-on to every student / professional who completed our classroom or online training. Some of our students are working in these companies listed below.

  • We are associated with top organizations like HCL, Wipro, Dell, Accenture, Google, CTS, TCS, IBM etc. It make us capable to place our students in top MNCs across the globe
  • We have separate student’s portals for placement, here you will get all the interview schedules and we notify you through Emails.
  • After completion of 70% Data Analytics training course content, we will arrange the interview calls to students & prepare them to F2F interaction
  • Data Analytics Trainers assist students in developing their resume matching the current industry needs
  • We have a dedicated Placement support team wing that assist students in securing placement according to their requirements
  • We will schedule Mock Exams and Mock Interviews to find out the GAP in Candidate Knowledge

Get Certified By Data Analytic & 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.
There are many ways to get a data analytics certification. You can pursue a degree or certificate program in data analytics at a college or university, or you can take online courses or certification programs through organizations such as Coursera, Udacity, or edX.
Yes, data analytics certifications can be very valuable and can help to demonstrate your knowledge and skills in the field. A certification can help you stand out from other job applicants and can help to demonstrate your commitment to the field.
  • Research the data analytics field. Understand the topics and skills related to data analytics, such as data mining, machine learning, and data visualization.
  • Choose a certification program or course. Consider factors such as the cost, duration, and content of the program.
  • Prepare for the exam. Read books and articles, take practice tests, and review the material covered in the courses or program.
  • Take the exam.
  • Maintain your certification. Most certifications require you to take continuing education classes or exams to remain certified.
ACTE’s Data Analytics certification is valid for one year. After one year, you must retake the exam to maintain the certification.
Once you have successfully passed the exam, you will receive an email confirmation and a digital certificate. The digital certificate will be available immediately and can be printed or downloaded for your records.

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 Experienced Data Analytics Trainer

  • Our Data Analytics Training in . Trainers are certified professionals with 7+ years of experience in their respective domain as well as they are currently working with Top MNCs.
  • As all Trainers are Data Analytics domain working professionals so they are having many live projects, trainers will use these projects during training sessions.
  • All our Trainers are working with companies such as Cognizant, Dell, Infosys, IBM, L&T InfoTech, TCS, HCL Technologies, etc.
  • Trainers are also help candidates to get placed in their respective company by Employee Referral / Internal Hiring process.
  • Our trainers are industry-experts and subject specialists who have mastered on running applications providing Best Data Analytics training to the students.
  • We have received various prestigious awards for Data Analytics Training in 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.



Best place to learn Data Analytics . I have done training from here. Nice experience.Gopal sirs teaching was awesome everyone can understand subject very easily compare from other institute faculties his teaching is very good. In ACTE institutes to learn Data Analytics technology I referred best to go for Gopal sirs class in ACTE Institute in Tambaram.


Software Engineer

I have attended Data Analytics Training organized by ACTE. The trainer was very professional with very good experience in the domain. Extensive knowledge make sure you are learning and get value from sessions. Food was very nice.


Software Engineer

ACTE is best institute for Data Analytics training in Velachery. The faculty explains each and every module with real time scenarios. This is the best institute for Data Analytics . Thanks a lot…


"I would like to recommend to the learners who wants to be an expert on Data Analytics just one place i.e., ACTE. After several research with several Training Institutes I ended up with ACTE. My Data Analytics trainer was so helpful in replying, solving the issues and Explanations are clean, clear, easy to understand the concepts and it is one of the Best Training Institute for Data Analytics Training"


Software Testing

I joined in ACTE omr for Data Analytics course here without any basic knowledge on Big Data concepts.Now i can say this is the Best Data Analytics training institute in chennai. Here the trainers provide you complete knowledge on each course with Real- time scenarios, project, case studies, Interview questions and all possible ways to make you a successful Professional.

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Data 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 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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