Qualifications as a Data Scientist

In my pursuit of the Data Scientist professional path, I have cultivated a comprehensive skill set spanning Python and R_Programming programming languages. Beginning with foundational principles, I have refined my proficiency in manipulating and analyzing data with a focus on versatility. I excel in executing intricate queries, inputting, and modifying data within relational databases. My practical experience extends to leveraging Python for data importation, cleaning, and code optimization, coupled with the implementation of tests to validate analytical outputs.

The completion of diverse courses has endowed me with indispensable tools for data manipulation and analysis, encompassing SQL, Python, and R_Programming. I've explored a range of topics, including exploratory data analysis, hypothesis testing, and statistical analysis. These courses not only fortified my foundational skills but also equipped me with the expertise necessary to thrive as a Data Scientist.

The zenith of my learning journey includes hands-on experience in joining and manipulating data using SQL, Python, and R_Programming. Moreover, I've gained valuable insights into data visualization techniques through tools like ggplot2 and Seaborn. These acquired skills empower me to interpret data visualizations, craft functions, and adeptly employ version control for seamless collaboration.

Additionally, Data Science projects that exercise the skills learnt were also part of the overall study plan.

In conclusion, adeptly navigating the Data Scientist career path positions me to propel my professional journey forward. I am well-prepared to tackle complex data analysis tasks, applying my acquired knowledge and skills to extract meaningful insights from intricate datasets.

Data Science Career Tracks:

• Data Scientist Professional with Python - Completed on 27-06-2023
• Data Scientist Professional with R - Completed on 07-04-2023
• Data Scientist with Python - Completed on 25-06-2023
• Data Scientist with R - Completed on 04-04-2023
• Quantitative Analyst with R - Completed on 17-03-2023

Completed Courses:

Course	Completed	Topic	Technology
A Visual History of Nobel Prize Winners (Python)	19-Jun-2023	Projects	Python
Analyzing City Time Series Data in R	15-Mar-2023	Case-Studies	R_Programming
Analyzing Police Activity with pandas	24-Jun-2023	Data-Manipulation	Python
ARIMA Models in R	10-Mar-2023	Probability-Statistics	R_Programming
Bond Valuation and Anlaysis in R	16-Mar-2023	Applied-Finance	R_Programming
Cleaning Data in Python	16-May-2023	Data-Preparation	Python
Cleaning Data in R	17-Jan-2023	Data-Preparation	R_Programming
Credit Risk Modeling in R	16-Mar-2023	Applied-Finance	R_Programming
Data Communication Concepts	17-Jan-2023	Data-Literacy	Theory
Data Manipulation with dply	22-Dec-2022	Data-Manipulation	R_Programming
Data Manipulation with pandas	19-May-2023	Data-Manipulation	Python
Developing Python Packages	27-Jun-2023	Programming	Python
Dr.Semmelweis and the Discovery of Handwashing (Python)	24-Jun-2023	Projects	Python
Experimental Design in R	04-Apr-2023	Probability-Statistics	R_Programming
Exploratory Data Analysis in Python	13-Jun-2023	Exploratory-Data-Analysis	Python
Exploratory Data Analysis in R (Case Study)	19-Jan-2023	Case-Studies	R_Programming
Exploratory Data Analysis in R	18-Jan-2023	Exploratory-Data-Analysis	R_Programming
Exploring and Analyzing Data in Python	23-Jun-2023	Exploratory-Data-Analysis	Python
Financial Trading in R	17-Mar-2023	Applied-Finance	R_Programming
Forecasting in R	14-Mar-2023	Probability-Statistics	R_Programming
Hypothesis Testing in Python	13-Jun-2023	Probability-Statistics	Python
Hypothesis Testing in R	25-Jan-2023	Probability-Statistics	R_Programming
Importing and Managing Financial Data in R	07-Mar-2023	Applied-Finance	R_Programming
Intermediate Data Visualization with ggplot2	12-Jan-2023	Data-Visualization	R_Programming
Intermediate Data Visualization with Seaborn	15-Jun-2023	Data-Visualization	Python
Intermediate Importing Data in Python	14-May-2023	Data-Preparation	Python
Intermediate Importing Data in R	16-Jan-2023	Data-Preparation	R_Programming
Intermediate Portfolio Analysis in R	09-Mar-2023	Applied-Finance	R_Programming
Intermediate Python	09-May-2023	Programming	Python
Intermediate R for Finance	06-Mar-2023	Applied-Finance	R_Programming
Intermediate R	11-May-2020	Programming	R_Programming
Intermediate Regression in R	23-Jan-2023	Probability-Statistics	R_Programming
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 Mathplotlib	01-Jun-2023	Data-Visualization	Python
Introduction to Data Visualization with Seaborn	03-Jun-2023	Data-Visualization	Python
Introduction to GIT	07-Apr-2023	Programming	Git
Introduction to Importing Data in Python	12-May-2023	Data-Preparation	Python
Introduction to Importing Data in R	31-May-2020	Data-Preparation	R_Programming
Introduction to Portfolio Analysis in R	08-Mar-2023	Applied-Finance	R_Programming
Introduction to Python	15-Jan-2023	Programming	Python
Introduction to R for Finance	04-Mar-2023	Applied-Finance	R_Programming
Introduction to R	31-May-2020	Programming	R_Programming
Introduction to Regression in R	19-Jan-2023	Probability-Statistics	R_Programming
Introduction to Regression with statsmodels in Python	09-Jun-2023	Probability-Statistics	Python
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 the Tidyverse	22-Dec-2022	Programming	R_Programming
Introduction to Writing Functions in R	21-Dec-2022	Programming	R_Programming
Investigating Netfix Movies and Guest Stars in The Office	14-Jun-2023	Projects	Python
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
Machine Learning for Business	05-Apr-2023	Machine-Learning	Theory
Machine Learning with Tree-Based Models in Python	25-Jun-2023	Machine-Learning	Python
Manipulate Time Series Data with xts and zoo in R	06-Mar-2023	Data-Manipulation	R_Programming
Predicting Credit Card Approvals	24-Jun-2023	Projects	Python
Preprocessing for Machine Learning in Python	26-Jun-2023	Machine-Learning	Python
Python Data Science Toolbox(Part 1)	10-May-2023	Programming	Python
Python Data Science Toolbox(Part 2)	11-May-2023	Programming	Python
Quantitative Risk Management in R	17-Mar-2023	Applied-Finance	R_Programming
Reporting with R Markdown	16-Jan-2023	Reporting	R_Programming
Sampling in Python	12-Jun-2023	Probability-Statistics	Python
Sampling in R	24-Jan-2023	Probability-Statistics	R_Programming
Supervised Learning in R Classification	11-Jan-2023	Machine-Learning	R_Programming
Supervised Learning in R Regression	28-Jan-2023	Machine-Learning	R_Programming
Supervised Learning with scikit-learn	25-May-2023	Machine-Learning	Python
The Android App Market on Google Play	16-Jun-2023	Projects	Python
The GitHub History of the Scala Language	16-Jun-2023	Projects	Python
Time Series Analysis in R	09-Mar-2023	Probability-Statistics	R_Programming
Unsupervised Learning in Python	28-May-2023	Machine-Learning	Python
Unsupervised Learning in R	26-Jan-2023	Machine-Learning	R_Programming
Visualizing Time Series Data in R	15-Mar-2023	Data-Visualization	R_Programming
What and Where are the Worlds Oldest Business (Python)	14-Jun-2023	Projects	Python
Working with Categorical Data in Python	18-Jun-2023	Data-Manipulation	Python
Working with Dates and Times in Python	21-Jun-2023	Programming	Python
Working with Dates and Times in R	18-Jan-2023	Programming	R_Programming
Writing Functions in Python	22-Jun-2023	Programming	Python