Overview of Course

IBM Watson Analytics is a powerful analytics tool that empowers businesses to make data-driven decisions. Our IBM Watson Analytics Training is designed to help you master this tool and leverage its features to drive better business outcomes.

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Course Highlights

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In-depth coverage of IBM Watson Analytics

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Hands-on learning with real-world examples

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Expert-led online sessions




Key Differentiators

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    Real-world Projects

    We work with experts to curate real business scenarios as training projects

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Skills You’ll Learn

#1

Data preparation and analysis

#2

Visualization and reporting

#3

Predictive modeling

#4

Cognitive computing

Training Options

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1-on-1 Training

On Request
  • Option Item Access to live online classes
  • Option Item Flexible schedule including weekends
  • Option Item Hands-on exercises with virtual labs
  • Option Item Session recordings and learning courseware included
  • Option Item 24X7 learner support and assistance
  • Option Item Book a free demo before you commit!
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Corporate Training

On Request
  • Option Item Everything in 1-on-1 Training plus
  • Option Item Custom Curriculum
  • Option Item Extended access to virtual labs
  • Option Item Detailed reporting of every candidate
  • Option Item Projects and assessments
  • Option Item Consulting Support
  • Option Item Training aligned to business outcomes
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Course Reviews

Curriculum

  • Introduction to data series
  • Understanding time-series data and its characteristics
  • Importing and preparing time-series data in Watson Analytics

  • Techniques for data cleaning and data manipulation
  • Exploring and visualizing data to identify patterns and outliers
  • Applying filters, pivots, and aggregations to refine data

  • Understanding the distribution of data
  • Identifying relationships and correlations between variables
  • Using Watson Analytics' visualizations and statistical tools to explore data

  • Introduction to predictive modeling and machine learning
  • Understanding supervised and unsupervised learning techniques
  • Building predictive models using Watson Analytics

  • Combining data sources to create more complex datasets
  • Creating dashboards and reports to communicate insights
  • Understanding how to use Watson Analytics in a business context
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Description

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Target Audience:

  • Data analysts and business analysts
  • Data scientists and machine learning engineers
  • Business professionals looking to gain insights from data
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Prerequisite:

  • Basic knowledge of statistics and data analysis
  • Familiarity with Microsoft Excel
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Benefits of the course:

  • Master the IBM Watson Analytics tool and its features
  • Gain hands-on experience with real-world datasets
  • Get industry-recognized certification
  • Boost your career prospects in the field of data analytics
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Exam details to pass the course:

  • The IBM Watson Analytics Training does not have a separate exam.
  • Certification is awarded based on the completion of the course and passing the final project.
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Certification path:

  • Upon completion of the IBM Watson Analytics Training, you will receive a certificate of completion from Skillzcafe.
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Career options:

  • Data analyst
  • Business analyst
  • Data scientist
  • Machine learning engineer

Why should you take this course from Skillzcafe:

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Why should you take this course from Skillzcafe:
  • Bullet Icon Expert-led online sessions
  • Bullet Icon Lifetime access to course materials
  • Bullet Icon Hands-on learning with real-world examples
  • Bullet Icon Industry-recognized certification
  • Bullet Icon Affordable pricing

FAQs

IBM Watson Analytics is a data analytics tool that enables businesses to extract insights from their data.

Basic knowledge of statistics and data analysis, and familiarity with Microsoft Excel.

No, prior experience is not required. The course covers all aspects of the tool from the basics to advanced topics.

No, certification is awarded based on completion of the course and passing the final project.

You will have lifetime access to the course materials, including videos, slides, and project files.

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