2025 01 27
Conquer Data Analytics and Python programming with our beginner-friendly program. Throughout the course, you will master SQL basics and IDE navigation, delving into data manipulation with operators and functions. Choose this course to learn advanced techniques like joins, subqueries, and data modeling for comprehensive analytics skills. Together with an experienced lecturer, you will explore Power BI to create impactful visualizations, manipulate data with Power Query and M Language, and design dimensional models like star schemas. Gain hands-on experience through practical exercises and a final project, combining Python fundamentals with Data Analytics for a successful career in both fields.
Become a data analyst who can turn variables into world-changing insights. We've designed this program based on real-life cases and the skillset valued by top companies around the globe.
Learn the basics of data analytics and SQL (Structured Query Language), set up and configure your development environment for SQL, and prepare for a deeper dive into the topic.
Practice writing advanced SQL queries to extract meaningful insights from databases, selecting specific data, ordering results, and grouping data.
Understand the fundamentals of Business Intelligence (BI) and its role in data analysis, navigate Power BI interface and create basic visualizations to present data effectively.
Dive deeper into Power BI capabilities, focusing on data transformation using M Language and Power Query. Learn dimensional modeling techniques for data analysis.
Acquire essential programming skills with Python, covering basic syntax, variables, and data types. Set up Python in different environments and gain proficiency in writing Python scripts.
Develop data manipulation and analysis skills using the Pandas library and perform data operations such as filtering, aggregation, and cleaning.
Learn to visualize data effectively using Matplotlib, a powerful plotting library in Python, create various plots, and customize them to communicate insights from data.
Explore the basics of NLP using the NLTK (Natural Language Toolkit) library and gain hands-on experience in text processing, tokenization, and sentiment analysis with Python.
Apply all the skills and knowledge acquired throughout the course. Work on a real-world data analysis or visualization project to demonstrate your SQL, Power BI, and Python proficiency.
Pay the full program price upfront and enjoy a 10% discount! Secure your spot and focus on your learning without the hassle of ongoing payments.
Enjoy flexible, manageable payments each month while you study. Start learning today with our convenient pay-as-you-learn option!
The company you work for can pay for your training by getting a 5% discount.
We’ve witnessed incredible career turns and head starts. Here’s a few for your inspiration.
The training went really well, and the lecturers left nothing but good feedback. The training provided a fundamental introduction to three tools: SQL, PowerBI and Python. I found a job within a month, maybe a month and a half.
Thank you for the professional, fun, and well-organised courses. Thank you for your insight into each project, your individual approach, encouragement, and help. It is a great pleasure and satisfaction that you have invited me into the design world!
Very good school with excellent, knowledgeable teachers. Keep in mind that you have spend your free time developing skills and be self-disciplined. How good a programmer you will be is up to you and your interest in programming.
I've completed the Data Analytics Course. It was an intense journey where I learned SQL, Power BI, and the basics of Python. I was very satisfied with the course quality and the whole experience. My lectutrer's strong teaching skills, expertise, and patience made the learning experience truly enjoyable. Learning from a professional was an honour.
I really liked the length of the training programme. It went very well, and one of the reasons why I liked the training so much was that lecturer was a very good lecturer and mentor. I increased my existing knowledge of front-end programming, and I also learned back-end technologies and database management.
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