Research, Data Management and Data Science

Introduction and Getting Started

Research Problem

Literature Review

Research Hypotheses

Research Approach

Research Strategies

Sampling

Data Collection Methods

Data Analysis & Report Writing

Report Format & Content

MODULE 1: ESSENTIAL REPORTING REQUIREMENT SKILLS

MODULE 2: BUILDING THE EXCEL DASHBOARD LOOKUP DATA

MODULE 3: BUILDING THE EXCEL DASHBOARD FILTERING DATA

MODULE 4: BUILDING THE EXCEL DASHBOARD SUBTOTALS

MODULE 5: BUILDING THE EXCEL DASHBOARD PIVOT TABLES AND PIVOT CHARTS

MODULE 6: BUILDING THE EXCEL DASHBOARD INTERACTIVE BUTTONS

MODULE 7: BUILDING THE EXCEL DASHBOARD FORMATTING

MODULE 8: ADVANCED DATA STRUCTURING TECHNIQUES

MODULE 9: CHARTING AND VISUALISATION TECHNIQUES

MODULE 10: BUILDING REPORT SOLUTIONS

MODULE 11: MACRO CHARGED REPORTING

MODULE 1: DATA SCIENCE OVERVIEW

MODULE 2: DATA ANALYTICS OVERVIEW

MODULE 3: STATISTICAL ANALYSIS AND BUSINESS APPLICATIONS

MODULE 4: PYTHON ENVIRONMENT SETUP AND ESSENTIALS

MODULE 5: MATHEMATICAL COMPUTING WITH PYTHON (NUMPY)

MODULE 6: SCIENTIFIC COMPUTING WITH PYTHON (SCIPY)

MODULE 7: DATA MANIPULATION WITH PANDAS

MODULE 8: MACHINE LEARNING WITH SCIKITLEARN

MODULE 9: NATURAL LANGUAGE PROCESSING WITH SCIKIT LEARN

MODULE 10: DATA VISUALISATION IN PYTHON USING MATPLOT-LIB

MODULE 11: WEB SCRAPING WITH BEAUTIFUL SOUP

MODULE 12: INTEGRATION WITH HADOOP MAP-REDUCE AND SPARK

Introduction to Statistics

Examining Numerical Data

Examining Categorical Data

Probability

Distributions of Random Variables

Foundations for Inference

Confidence Intervals 

Hypothesis Testing

Correlation/Regression Analysis

Inference for Numerical Data

Introduction to Data Analysis

Data Analysis and the Stata Environment

Working with Data in Stata

Data Management in Stata

Advanced Data Management and Analysis in Stata

Basics of Graphing With Stata

Generalized Syntax for Overlaying Multiple Graphs

Advanced Graphing in Stata

Subgroups and Overlays in Stata Graphics

Quantitative Data Analysis Using Stata

Regression Analysis

Panel Data Analysis using Stata

Output Management in Stata

Basics of Stata Programming

Introduction to Anaconda

Arrays and Vectorized Computation

Tabular and Heterogeneous Data

Data Loading, Storage and File Formats

Data Cleaning and Preparation

Plotting and Visualization

Foundations of Qualitative Research and Qualitative Data Analysis

Introduction to Atlas.ti

Components of an Atlas.ti Project.

Importing Survey Data

Organizing Documents in Groups/Families.

Data Segmentation

Writing Reflections in the Form of Memos

Coding in Atlas.ti

Other Useful Tools in Atlas.ti

Word Frequency Counts: The Word Cruncher

Co-occurrences

The Query Tool

Operators

Data Analysis and Exploration

Modeling Using Network Views to Visualize Data

Team Work