My Data Analysis Journey so far
Today 9th of July marks the end of the Linkedin Data Analysis Journey i started on the 22nd of April, 2022. I felt the need to take this course because i needed a DATA ANALYSIS Background coz i got stuck while on my DATA SCIENCE course on Udemy. i will share below a list of Certificates awarded to me by Linkedin.
1. The Non-Technical Skills of Effective Data Scientists I learnt how to Describe the inherent ambiguity in data science projects & Differentiate the roles of skepticism, curiosity, persuasion, and diplomacy in professional data science.
2. Learning Excel: Data Analysis I learnt how to Distinguish between the mean, median, and mode,Describe the relationship between variance and standard deviation,Identify a nondirectional hypothesis,Point out the difference between COVARIANCE.P & COVARIANCE.S & Explain Correlation
3. Data Fluency: Exploring and Describing Data I learnt The ROI of data fluency,Data ethics,Preparing data,Assessing the quality of data,Visualizing data with bar, pie, and line charts,Describing variability with the variance and standard deviation.
4. Learning Data Analytics: The Foundations I learnt to Recognize the skills of a data analyst,Interpret existing data,Explain how data is cleaned,Demonstrate how to use joins,Identify different types of data,Describe how to model data.
5. Learning Data Analytics Part 2 I Explored concepts relating to data analytics,Explain the use of wildcard characters in building queries,Review types of data visualizations,Describe how slicers are used,Define terminology used in creating visualizations,Identify licensing
Excel Statistics Essential Training 1 I learnt how to calculate simple probability,Review the Excel statistical formulas for finding mean, median, and mode,Differentiate statistical nomenclature when calculating variance,Identify components when graphing frequency Polygons. I expanded my knowledge by taking a full course on Excel starting from the scratch with @Dennis Taylor on Linkedin.
Predictive Analytics Essential Training: Data Mining
Power BI Essential Training I Applied the required hardware to successfully run PowerBI,Distinguish between different data types in PowerBI,Correlate the similarities between visualizations in PowerBI,Identify the outcomes when changes are made within Power BI and PowerBIDesktop. Differentiate between dashboards and reports within Power BI,Determine user roles within a workspace in Power BI,Manage workspaces and tools within the Power BI mobile application. i expanded my knowledge further by taking a @AhmedOyelowo PowerBi course on Udemy
Learning Data Visualization I learnt how to Describe the process by which individuals’ interests are incorporated into data visualizations,Differentiate the use of the Ws in data visualization,Explain techniques involved in defining your narrative when visualizing data. Identify the factors that make data visualizations relatable to an audience’s interests and needs. Review the appropriate use of charts in data visualizations. Define the process involved in applying interactivity to data visualizations.
Tableau Essential Training I learnt how to Explain where a user would navigate to seek specific help in Tableau,Determine the best approach for using Excel in Tableau,Interpret how to use the features and functions of Tableau when creating charts. Describe how best to manage data in a worksheet or visualization. Explain how to create a selection filter for certain values. Explain how to manage data for different chart formats.
SQL: Data Reporting and Analysis
R Essential Training: Wrangling and Visualizing Data
Data Cleaning in Python Essential Training
I expanded my knowledge of python using DATA CAMP. I am posting this here because i am grateful to this community. Big thanks to
and many more. I am not stopping here. I will KeeP PUSHING till i Attain my Goal.
Learning Data Visualization I learnt how to Describe the process by which individuals’ interests are incorporated into data visualizations,Differentiate the use of the Ws in data visualization,Explain techniques involved in defining your narrative when visualizing data.
