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Getting started with Data and Business Analytics Course Overview

Getting started with Data and Business Analytics Course Overview

Get started with Data and Business Analytics through our comprehensive 3-day course designed for business analysts, data scientists, IT professionals, and anyone eager to harness the power of data. This program equips you with essential skills in Data collection, Preprocessing, Visualization, Statistical analysis, and Predictive modeling. You'll gain hands-on experience with tools like Excel, Python, R, Tableau, and Power BI. By the end of the course, you'll be proficient in implementing data-driven strategies, leveraging business intelligence tools, and applying advanced analytics techniques such as Machine learning and AI for informed decision-making. Join us to elevate your data analytics capabilities and drive impactful business decisions.

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Getting started with Data and Business Analytics
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Target Audience for Getting started with Data and Business Analytics

Introduction

Getting started with Data and Business Analytics is a 3-day training program designed for professionals looking to leverage data to drive business decisions through comprehensive hands-on exercises and case studies.


Target Audience and Job Roles:

  • Business analysts and data analysts
  • Data scientists and data engineers
  • IT professionals and software developers
  • Business managers and decision-makers
  • Financial analysts and accountants
  • Marketing analysts and specialists
  • Project managers
  • Operations managers
  • Entrepreneurs and startup founders
  • HR professionals interested in analytics
  • Sales analysts and CRM specialists
  • Consultants in business intelligence and analytics
  • Healthcare analysts
  • Supply chain and logistics analysts
  • Anyone interested in gaining skills in data and business analytics


Learning Objectives - What you will Learn in this Getting started with Data and Business Analytics?

1. Introduction:

This comprehensive 3-day course on Data and Business Analytics equips participants with essential skills and knowledge to harness data for driving business decisions. Concepts include data collection, visualization, statistical analysis, predictive modeling, machine learning, and more.

2. Learning Objectives and Outcomes:

  • Understand the fundamental concepts of data and business analytics.
  • Learn to collect, clean, and preprocess data for analysis.
  • Gain proficiency in data visualization techniques and tools.
  • Develop skills in statistical analysis and predictive modeling.
  • Apply business intelligence tools to generate insights and inform decision-making.
  • Implement data-driven strategies to solve business problems.
  • Explore advanced analytics techniques, including machine learning and AI.
  • Understand the principles of Big Data and Cloud Analytics.
  • Learn ethical considerations and data governance principles in data analytics.
  • Leverage analytics for strategic decision-making and effectively communicate insights to stakeholders.

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