This badge earner has acquired core skills for using the R programming language with practical use-cases. This includes Understanding R syntax, assigning variables and performing simple operations using R's vector data structures. Demonstrated understanding of other key areas includes arrays and data frames, conditional statements, debugging, and reading and writing data in R.

R Essentials

The badge earner demonstrates an understanding of Supervised vs. Unsupervised Learning, applications of different types of machine learning models, and how to build and evaluate machine learning models.

Machine Learning with Python - Level 1

This badge earner understands how Python libraries such as Matplotib, Seaborn and Folium are used for the creation and customization of graphical representation outputs for both small and large-scale data sets.

Data Visualization Using Python

This badge earner is able to code in Python for data science. They can analyze and visualize data with Python with packages like scikit-learn, matplotlib and bokeh.

Applied Data Science with Python - Level 2

This badge earner understands the essential steps necessary to analyze data in Python using multi-dimensional arrays, manipulating DataFrames in pandas, using SciPy library of mathematical routines and performing machine learning using scikit-learn. This includes hands-on demonstration using Jupyter notebook in JupyterLab Python tools.

Data Analysis Using Python

The badge earner is able to write their own Python scripts and perform basic hands-on data analysis using IBM's Jupyter-based lab environment.

Python for Data Science

Earners of the Tableau Data Scientist badge have shown competency in their ability to fulfill the responsibilities of this role in their organization's deployment of Tableau. As a Data Scientist, they are experts at deriving valuable insights for large and varied data sets.

Tableau Data Scientist

Earners of the Tableau Analyst badge have shown competency in their ability to fulfill the responsibilities of this role in their organization's deployment of Tableau. As an Analyst, they are responsible for supporting their organization’s lines of business to deliver valuable insights from data.

Tableau Analyst

Earners of the Tableau Consumer badge have shown competency in their ability to fulfill the responsibilities of this role in their organization's deployment of Tableau. As a Consumer, they use data to make more informed decisions for their line of business.

Tableau Consumer

Earners of the Tableau Author badge have shown competency in their ability to fulfill the responsibilities of this role in their organization's deployment of Tableau. As an Author, they leverage their foundational Tableau skills to make smarter business decisions more quickly by digging into available data sources to create visualizations and dashboards mostly for their own consumption.

Tableau Author

Excel Pivot Charts

Excel Data Filtering

Excel Functions

Excel Reference

Excel Data Cleaning

Excel Data manipulation

Excel Worksheet Views

Excel Data Sorting

Excel Conditional Formatting

Excel Dashboards

Excel Advanced

Excel Charts

Excel Data Analysis

Excel Data Visualization

Excel Basics

Excel Data Wrangling

Excel Data Mapping

Tableau Dashboarding

Tableau Foundation

Tableau Storytelling

Tableau Data Filtering

Tableau Charts

Tableau Dashboards

Tableau Stories

Data Blending

Tableau Data Sources

Tableau Basics

Data Visualization Basics

Python Basics

Python Intermediate

Python Data Wrangling

Python Visualization

Python Conditionals

Python Variables

Python List Comprehensions

Python Operators

Python Lambda Functions

Python Dictionary

Matplotlib

Seaborne

Python Tuples

Python Lists

Multivariate analysis

Python Statements

Numpy

Python Strings

EDA Basics

Python Functions

Bivariate Analysis

Pandas

Univariate Analysis

Python Loops

Python Exception Handling

Python OOPs

Python File handling

Python Data Types

Python Basics(L5)

Python Advanced

Basic R

Ehiaguina Ikharebha

I am a mentor and professional data scientist with over a decade in Information Technology. I have extensive experience in data collection tools design, data visualization, data integration, descriptive analysis, predictive analysis, prescriptive analysis  and machine learning using cutting edge technologies to provide insights needed to guide insi