Data Analytics Training Institute & Certification Exam Center

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Reviews 5 Star Rating: Recommended Overall rating: 4.9 based on 1150 reviews
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This course is designed to give learners a broad overview of data science. This includes topics such as data collection, data management, statistical analysis, machine learning, data visualization, information retrieval, natural language processing, and much more. This course is designed to build up foundational skills that allow learners to analyze and find insights in any domain.

Data Analytics Training Key Features

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Course Duration : 2 Months

Real Time Projects : 2

Hands-on Training

Full Day Lab Access

Certification & Job Assistance

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Data Analytics Training Calender

Start Date Training Mode Enroll Status
May 28, 2024
10:00 - 13:00 (IST)
Enrollment Open
Jun 05, 2024
13:00 - 16:00 (IST)
Enrollment Open
May 18, 2024
14:00 - 17:00 (IST)
Enrollment Close

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Data Analytics Overview

The term Data Analytics, refers to the use of technology to extract insights from data. Data analytics is a subset of AI (Artificial Intelligence) where algorithms are applied to analyze and draw conclusions from large amounts of data. This helps companies understand customer behavior, predict future trends, improve sales and marketing strategies, and gain competitive advantage.
 As a business owner, it is important to know if data analytics is right for your company's needs. Here are some questions you should ask yourself before investing in data analysis:
 What kind of information do I need?
 Do you need to collect data from a system or a third-party API? What types of data does your organization store? Do any systems exist within your company that generate valuable data? If so, what information do they produce? How frequently does your organization update these records? What type of data would be useful to track? Does your organization have existing customers who provide you with feedback? If so, how often do you collect this data?
 Who owns the data?
 How much control do you want over the data you are analyzing? Is it your personal property or do you want someone else to own it? Who is responsible for maintaining the data? Are you collecting this information as a service to others or do you want to become more involved in managing your own data collection? Why invest in data analytics?
 Although data analytics can cost money, there are several reasons why using data analytics makes sense for your business. Knowing about your business will help you make informed decisions about which data analytics tools are best suited to meet your current needs. There are two primary types of data analytics solutions: cloud-based and self-hosted. Cloud-based solutions offer flexibility and scalability, while self-hosted solutions give you complete control over your data. When choosing between the two, consider the following factors:
 Cost - Cloud-based solutions generally cost less than self-hosted solutions. However, when considering the long term costs, self-hosting may be cost effective.
 Security - Self-hosted solutions generally provide greater security compared with cloud-based solutions due to their lower access levels.
 Ease of Use - A major benefit to having both cloud-based and self hosted solutions is the ability to switch back and forth between them for different projects. By being able to choose from the options most suitable for your project, you can save time and money while still getting the job done.
 Flexibility - Depending on your specific requirements, you may require only a small amount of data analysis or a lot of it. Cloud-based and self- hosted solutions allow you to scale up or down based on your needs.
 Access to Expertise - Many organizations leverage their expertise by hiring outside consultants or contractors. If you plan to bring in experts to perform data analytics work, self-hosted solutions may be ideal since they allow you to retain full ownership of your data and ensure that your information remains private.
 Analyzing Data
Data Definitions and Analysis Techniques
·         Elements, Variables, and Data categorization
·         Levels of Measurement
·         Data management and indexing
·         Introduction to statistical learning and R-Programming
Descriptive Statistics

·         Measures of central tendency
·         Measures of location of dispersions
Basic Analysis Techniques

·         Basic analysis techniques
·         Statistical hypothesis generation and testing
·         Analysis of variance
·         Correlation analysis
Data analysis techniques

·         Regression analysis
·         Classification techniques
·         Clustering
·         Association rules analysis
Case studies and projects

·         Understanding business scenarios
·         Feature engineering and visualization
·         Scalable and parallel computing with Hadoop and Map-Reduce
·         Sensitivity Analysis
Note: **The topics said above are only the short blueprint of the syllabus. On the off chance that you feel that we have missed any subject, you can simply come to us and learn it, or simply call us to affirm

Call at 8485847920 | 8485846227 WebAsha Provides Best Online [Live Interactive Class] / Calssroom with practical based hands-on Data Analytics Training and Certification in Pune and near by area. Get Course Details, Certification Cost, Fees, Syllabus, Duration, Batch Timings, Exam Preparation, workshops in Pune, Mumbai, Delhi NCR, Noida, Gurugram (Gurgaon), Hyderabad, Bengaluru (Bangalore), India, UK, USA, UAE, Dubai, Singapore, and Australia

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Mode of Training

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Trainer Profile

Our Trainers explains concepts in very simple and smooth to understand his language, so the candidates can analyze in a totally effective way. We offer students, complete freedom to explore the subject. We train you concepts based on real-time examples. Our trainers assist the candidates in finishing their projects or even prepare them for interview questions and answers. Candidates can learn in our one to one training classes and are free to ask any questions at any time.
Companies who have been benefited with his experience & knowledge Atos, Cloud reach, IBM, Samsung R&D, Wipro, Dell, HPE, GE, JP Morgan, Wells Fargo, RBS, Vodafone, Airtel, Nokia, Ericsson, Accenture, Capgemini and many more
  • They have More than 10+ years of experience in Linux and related technologies.
  • Our Trainers are expert level and completely up-to- date in the subjects they teach because they continue to spend time working on real- world industry applications.
  • Our Trainers have Experienced on multiple real- time Industries related projects
  • He Trained more than 1000+ Students in a year.
  • He's certified Professionals with High Grade
  • Having Strong Theoretical & Practical Knowledge.
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Data Analytics Certification Bootcamp

Data Analytics Training Institte in Pune. Get Course Details

WebAsha Technologies offers job-orientated Online and Classroom Data Analytics Training in Pune. Data Analytics is a subject of computer science that offers computer systems with the capability to analyze with out being explicitly programmed. It is a part of artificial intelligence (AI) that allows software program programs to turn out to be extra particular in predicting consequences with out being explicitly programmed. According to the experts, machine learning and artificial intelligence are going to change the manner we have interaction with everything in our surroundings in the coming days.

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Real Exam Format and Information

  • Multiple-choice exam of 100 marks.
  • You need to acquire 70+ marks to clear the exam.
  • If you fail, free re-examination attempt with 15 days from the date of 1st exam attempt.

Data Analytics Benefits & Job

As the job market continues to shift towards more data-driven professions, the field of analytics is expanding at a rapid pace. Nowadays, jobs related to data analysis have become commonplace, especially in industries where big data already exists. Data analysts help companies make sense of their information and discover insights that would not have been possible before. They are responsible for interpreting business intelligence reports and presenting them in an understandable format. By doing so, they increase the chances of making informed decisions.

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  • Enhance your interview preparation and performance by participating in our Mock Interviews at WebAsha Technologies. Gain the confidence to excel in real-life job interviews with the guidance of our expert team.
  • If you feel uncertain about interview environments, rest assured that our team will familiarize you with different scenarios, enabling you to showcase your skills under any level of pressure.
  • Our Mock Interviews are conducted by industry experts who possess extensive years of experience. Their insights and expertise will significantly improve your chances of securing a job in the real world.
WebAsha Technologies Placement


  • Projects: Validate your skills and knowledge by working on industry-based projects that feature real-time use cases. Obtain hands-on expertise in top IT skills, becoming industry-ready through our project works and assessments.
  • Our projects align perfectly with the curriculum's modules and are selected based on the latest industry standards. Enhance your resume with meaningful project work, capturing the attention of top industries and opening doors to lucrative salary opportunities.
  • Join our Mock Interviews program today and elevate your interview skills to new heights, paving the way for a successful career.

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Data Analytics FAQ

  • What is the purpose of Data Analytics training?

    The purpose of Data Analytics training is to educate individuals about the techniques and tools used for analyzing and interpreting data, and to provide them with the knowledge and skills necessary to make informed decisions based on data.
  • What are the benefits of learning Data Analytics?

    The benefits of learning Data Analytics include the ability to extract insights and make informed decisions from data, the ability to solve complex problems, and the ability to work with large, complex datasets.
  • What are the prerequisites for Data Analytics training?

    The prerequisites for Data Analytics training vary depending on the level of the course, but generally, a basic understanding of mathematics, statistics, and programming is necessary.
  • What are the key topics covered in Data Analytics training?

    The key topics covered in Data Analytics training include data visualization, descriptive statistics, inferential statistics, data cleaning, data transformation, and data exploration.
  • How long does it take to learn Data Analytics?

    The time it takes to learn Data Analytics varies depending on the individual's level of education, work experience, and their time availability for the preparation. It can take anywhere from a few weeks to several months to become proficient in Data Analytics.
  • What are the best resources to learn Data Analytics?

    The best resources to learn Data Analytics include online tutorials, books, and video courses, interactive coding challenges and practice, and community support.
  • What are the common use cases of Data Analytics?

    The common use cases of Data Analytics include customer segmentation, market research, sales analysis, and financial analysis.
  • What are the most popular tools and technologies used in Data Analytics?

    The most popular tools and technologies used in Data Analytics include Excel, R, Python, SQL, Tableau, and Power BI.
  • What are the common mistakes made by Data Analytics beginners?

    Common mistakes made by Data Analytics beginners include not understanding the data, not understanding the problem, not understanding the evaluation metric, and not understanding the assumptions of the model.
  • What are some of the best practices for working with data in Data Analytics?

    Some of the best practices for working with data in Data Analytics include data cleaning, data transformation, and data exploration.

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