Please take a look at the timeline below to find out more about my journey towards becoming a Data Scientist. I have also included information about my certificates at the end of this page

My Timeline

2016
2 Jun

I started my data science adventure by signing up to the Microsoft Professional Programme in Data Science. The curriculum taught key functional and technical skills, combining highly rated online courses with hands-on labs, concluding in a final capstone project. There were 10 certificates in total.

25 Jun

I completed the first certificate in the Microsoft Professional Programme in Data Science. Data Science Orientation taught me what it takes to become a Data Scientist. I learned to work with and explore data using a variety of visualisation, analytical, and statistical techniques.

17 Aug

I completed the second certificate in the Microsoft Professional Programme in Data Science. Querying with Transact-SQL taught me to query and modify data in SQL Server to programming with Transact-SQL.

29 Dec

I completed the third certificate in the Microsoft Professional Programme in Data Science. Analysing and Visualising Data in Excel taught me how to explore tools in Excel that enable the analysis of data, with improved visualisations and more sophisticated business logic. I also imported data from different sources, created mashups between data sources and prepared data for analysis.

2017
7 Feb

I completed the third certificate in the Microsoft Professional Programme in Data Science. Statistical Thinking for Data Science and Analytics gave me an understanding of how statistics and probability can be used to explore data. I also learned the best graphs to use when visualising various types of data.

10 Feb

I completed the fourth certificate in the Microsoft Professional Programme in Data Science. Introduction to Python for Data Science taught me the basics of Python, including simple arithmetic operations, variables, and data structures. I also explored Python functions and control flow, and created my own visualisations based on real data.

19 Feb

I completed the fifth certificate in the Microsoft Professional Programme in Data Science. Data Science Essentials taught me key concepts and techniques used to perform data science; including statistical analysis, data cleansing and transformation, and data visualisation with Python and Microsoft Azure Machine Learning.

3 Mar

I completed the sixth certificate in the Microsoft Professional Programme in Data Science. Principles of Machine Learning expanded on the fifth certificate and taught how to build, evaluate, and optimise machine learning models; including classification, regression, clustering, and recommendation.

22 Mar

I completed the seventh certificate in the Microsoft Professional Programme in Data Science. Programming with Python for Data Science taught me to use Python to apply efficient, well-known mining models to unearth useful intelligence. I explored data visualisation, feature importance and selection, dimensionality reduction, clustering, classification and more.

29 Mar

I completed the eighth certificate in the Microsoft Professional Programme in Data Science. Implementing Predictive Analytics with Spark in Azure HDInsight taught me to use Spark in Microsoft Azure HDInsight to create predictive analytics and machine learning solutions. I also learned how to cleanse and transform data, build machine learning models, and create real-time machine learning solutions using Python with Apache Spark.

2 May

I completed the ninth certificate in the Microsoft Professional Programme in Data Science. Data Science Professional Project was the final capstone project, which helped me showcase the knowledge and skills I acquired during the programme to solve a real-world data science problem. The project took the form of a challenge in which I had to explore a dataset and develop a machine learning solution that was tested and scored to determine my grade.

10 Jun

I completed the tenth optional certificate in the Microsoft Professional Programme in Data Science. Essential Statistics for Data Analysis using Excel gave me a solid understanding of statistics and basic probability using Excel, and helped build on my data analysis and data science foundation.

3 Jul

I started to create my own documenation for each certificate in the Microsoft Professional Programme. By creating a how-to guide for each certificate, the documentation will help solidify my understanding of Data Science, whilst also aiding me when working on new datasets.

2018
6 Feb

I completed the documentation. I ended up writing over 700+ pages of content across two books, which helps to answer all topics covered throughout the Microsoft Professional Programme in Data Science. I also had the books printed professionally.

20 Feb

I attended my first data science Meetup. The talk was based around analysing sequences and poessessions for football analytics.

Since this event, I have been going to a new Meetup events at least once a week for networking and to keep up to date with the latest trends and technologies.