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Qualifications as a Data Analyst

In my pursuit of the Data Analyst career path, I have acquired a comprehensive skill set encompassing SQL, Python, and R_Programming. Starting from the basics, I have honed my ability to manipulate and analyze data proficiently. I am adept at performing complex queries, inputting, and modifying data in relational databases. My hands-on experience extends to utilizing Python for importing and cleaning data, optimizing code for efficiency, and implementing tests to validate analytical work.

Completing the courses listed below has equipped me with essential tools for data manipulation and analysis in a vast array of technologies. I have delved into diverse topics such as exploratory data analysis, hypothesis testing, and statistical analysis. These courses have not only strengthened my foundational skills but also provided me with the expertise needed to excel as a Data Analyst.

The culmination of my learning journey includes practical experience in joining and manipulating data using SQL, Python, and R_Programming. Additionally, I have gained insights into data visualization techniques using tools like ggplot2 and Seaborn. These acquired skills enable me to interpret data visualizations, create functions, and proficiently utilize version control for effective collaboration.

In conclusion, successfully navigating this Data Analyst career path has prepared me to advance my professional journey. I am well-equipped to handle common data analysis tasks, applying my knowledge and skills to derive meaningful insights from complex datasets.

Data Analyst Career Tracks:

Data Analyst in SQL - Completed on 03-12-2023
Data Analyst with Python - Completed on 13-06-2023
Data Analyst with R - Completed on 26-01-2023

Completed Courses:

Course Completed Topic Technology
Data Communication Concepts 17-Jan-2023 Data-Literacy Theory
Data Manipulation in SQL 20-Nov-2023 Data-Manipulation SQL
Data Manipulation with dplyr 22-Dec-2022 Data-Manipulation R_Programming
Data Manipulation with pandas 19-May-2023 Data-Manipulation Python
Data-Driven Decision Making in SQL 03-Dec-2023 Case-Studies SQL
Exploratory Data Analysis in Python 13-Jun-2023 Exploratory-Data-Analysis Python
Exploratory Data Analysis in R 18-Jan-2023 Exploratory-Data-Analysis R_Programming
Exploratory Data Analysis in SQL 01-Dec-2023 Exploratory-Data-Analysis SQL
Functions for Manipulating Data in PostgreSQL 23-Nov-2023 Data-Manipulation SQL
Hypothesis Testing in Python 13-Jun-2023 Probability-Statistics Python
Hypothesis Testing in R 25-Jan-2023 Probability-Statistics R_Programming
Intermediate Python 09-May-2023 Programming Python
Intermediate SQL 06-Apr-2023 Data-Manipulation SQL
Introduction to Data Visualization with ggplot2 26-Dec-2022 Data-Visualization R_Programming
Introduction to Data Visualization with Seaborn 03-Jun-2023 Data-Visualization Python
Introduction to Python 15-Jan-2023 Programming Python
Introduction to R 31-May-2020 Programming R_Programming
Introduction to SQL 05-Apr-2023 Data-Manipulation SQL
Introduction to Statistics in Python 08-Jun-2023 Probability-Statistics Python
Introduction to Statistics in R 25-Dec-2022 Probability-Statistics R_Programming
Introduction to Statistics 30-Nov-2023 Probability-Statistics Theory
Introduction to the Tidyverse 22-Dec-2022 Programming R_Programming
Joining Data in SQL 07-Apr-2023 Data-Manipulation SQL
Joining Data with dplyr 23-Dec-2022 Data-Manipulation R_Programming
Joining Data with pandas 22-May-2023 Data-Manipulation Python
PostgreSQL Summary Stats and Window Functions 22-Nov-2023 Data-Manipulation SQL
Sampling in Python 12-Jun-2023 Probability-Statistics Python
Sampling in R 24-Jan-2023 Probability-Statistics R_Programming
Understanding Data Visualization 15-Jul-2023 Data-Visualization Theory
When was the Goldern Age of Video Games 03-Dec-2023 Projects SQL