Advanced Data Analytics - Pro Plan

Advanced Data Analytics - Pro Plan

₦150,000.00
₦200,000.00
Pro Plan: Advanced Data Analytics
Description:
The Advanced Data Analytics plan is tailored for individuals with foundational knowledge in data analysis who seek to deepen their expertise. This plan focuses on more sophisticated techniques, including advanced data manipulation, statistical modeling, and the use of industry-standard tools like SQL and Python. Learners will also explore data visualization using specialized software and gain experience in analyzing large datasets.

Course Outline:

Advanced Data Manipulation with SQL

Writing Complex SQL Queries
Database Design and Normalization
Joins, Subqueries, and Advanced Filtering Techniques
Data Analysis with Python

Introduction to Pandas and NumPy
Data Cleaning and Preparation with Python
Performing Advanced Statistical Analysis using Python
Advanced Statistical Modeling

Regression Analysis (Linear, Logistic)
Time Series Analysis
Multivariate Analysis and Dimensionality Reduction
Data Visualization with Tableau/Power BI

Creating Interactive Dashboards
Advanced Chart Types and Visualizations
Data Storytelling Techniques
Big Data Concepts and Tools

Introduction to Big Data Technologies (Hadoop, Spark)
Handling Large Datasets
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Pro Plan: Advanced Data Analytics

Description: The Advanced Data Analytics plan is tailored for Advanced Data Analytics - Pro Planindividuals with foundational knowledge in data analysis who seek to deepen their expertise. This plan focuses on more sophisticated techniques, including advanced data manipulation, statistical modeling, and the use of industry-standard tools like SQL and Python. Learners will also explore data visualization using specialized software and gain experience in analyzing large datasets.

Course Outline:

  1. Advanced Data Manipulation with SQL

    • Writing Complex SQL Queries
    • Database Design and Normalization
    • Joins, Subqueries, and Advanced Filtering Techniques
  2. Data Analysis with Python

    • Introduction to Pandas and NumPy
    • Data Cleaning and Preparation with Python
    • Performing Advanced Statistical Analysis using Python
  3. Advanced Statistical Modeling

    • Regression Analysis (Linear, Logistic)
    • Time Series Analysis
    • Multivariate Analysis and Dimensionality Reduction
  4. Data Visualization with Tableau/Power BI

    • Creating Interactive Dashboards
    • Advanced Chart Types and Visualizations
    • Data Storytelling Techniques
  5. Big Data Concepts and Tools

    • Introduction to Big Data Technologies (Hadoop, Spark)
    • Handling Large Datasets
    • Introduction to Cloud-based Data Services (AWS, Azure)

This plan empowers learners to perform complex data analyses, build predictive models, and create powerful visualizations, making them highly skilled data analysts ready to tackle real-world challenges.