x
T e c h A c a d e m y

Advanced Data Analysis

  • Whislist
  • Share
    Share Course
    Page Link
    Share On Social Media

About Course

This course is meticulously designed for professionals who already possess a basic understanding of data analysis and aspire to dive deeper into the world of advanced analytical techniques. In an era dominated by data, the ability to competently analyze, interpret, and derive insightful information is invaluable. This course delves into sophisticated analysis strategies, statistical tools, and data visualization techniques to empower you with the skills needed to make data-driven decisions effectively. It bridges the gap between basic analytical skills and advanced expertise, enabling you to tackle more complex data challenges in your professional field.

What you’ll learn:

– How to apply advanced statistical techniques for deeper data insights
– Techniques for effective data cleaning and preparation
– Strategies for building predictive models
– Best practices for data visualization and interpretation
– Approaches to handling large datasets efficiently
– Methods for effective data-driven decision making

Skills you’ll gain:

– Advanced statistical analysis
– Predictive modeling
– Data cleaning and preparation
– Complex data visualization
– Critical thinking and problem-solving with data

Please enable JavaScript in your browser to complete this form.

Student Details

Address

Enrollment Payment

Price: $250.00

Important Note:

Total Cost: $2500 CAD + HST
Balance remaining will be collected 2 weeks ahead of our program start date.
Order Summary
Item Quantity Total
Program Deposit (10%)1$250.00
Total$250.00

Syllabus

Module 1: Advanced Foundations of Data Analysis

  • Recap of basic data analysis principles
  • Exploring multi-dimensional data sets
  • Advanced data collection techniques

Module 2: Data Cleaning and Preprocessing

Module 3: Advanced Statistical Analysis

Module 4: Deep Dive into Data Visualization

Module 5: Machine Learning Models for Data Analysis

Module 6: Big Data Techniques and Tools

Module 7: Communicating Data Analysis Findings

Module 8: Capstone Project