Analytics

Data Analytics

Become a Data Analyst with AmbitionHub

Descriptions

Data analytics is a field that involves the examination, interpretation, and visualization of data to extract meaningful insights, draw conclusions, and support decision-making. It encompasses a variety of techniques and methods for processing and analyzing large volumes of data, with the ultimate goal of uncovering valuable information that can inform business strategies, improve processes, and drive informed decision-making.

Key Features

100% PLACEMENT ASSURANCE

Industry-aligned course and exhaustive curriculum and unlimited call supports till your placement for achieving your dream job

LIVE PROJECT BASED TRAINING

Industry-standard tools provide complete walk throughs for two live projects, offering hands-on experience to each candidate

IT PROFESSIONAL TRAINERS

Industry-aligned course and exhaustive curriculum and unlimited call supports till your placement for achieving your dream job

MOCK INTERVIEW PREPARATION

Continuous mock interviews enhance preparation, all owing unlimited practice to better understand and improve our performance.

Tools Covered

Advance Excel

MySQL

Apache Spark

Power BI

Statistics

Jupyter Notebook

Python

Apache Hadoop

Where Data Analytics Used

  • Risk assessment and management
  • Fraud detection
  • Portfolio optimization
  • Credit scoring
  • Customer segmentation and targeting
  • Inventory management
  • Demand forecasting
  • Price optimization
  • Customer behavior analysis
  • Campaign performance measurement
  • Market basket analysis
  • A/B testing for ad campaigns
  • Production optimization
  • Quality control
  • Supply chain optimization
  • Predictive maintenance
  • Network performance analysis
  • Churn prediction and retention strategies
  • Customer service optimization
  • Budget allocation and financial analysis
  • Crime prediction and law enforcement
    optimization
  • Social program effectiveness assessment
  • Energy consumption analysis
  • Equipment maintenance and optimization
  • Renewable energy forecasting
  • Employee performance analysis
  • Workforce planning
  • Talent acquisition and retention
  • Diversity and inclusion analytics
  • Route optimization
  • Vehicle maintenance scheduling
  • Inventory management
  • Property valuation
  • Housing market analysis
  • Rental yield prediction
  • Player/team performance analysis
  • Fan engagement and ticket pricing
  • Broadcast viewership analysis
  • Student performance analysis
  • Enrolment forecasting
  • Education program evaluation
  • Carbon emissions tracking and reduction strategies
  • Energy efficiency optimization
  • Donor segmentation and fundraising optimization
  • Impact assessment and program evaluation
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Instructors
Joshua Hamilton

Web Developer

This course includes:
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