Data Science :

Data Driven decisions for a smarter world 

Beginner & Professional COurse 


This data science course is ideal for those who aspire to become Data Scientists or Data Analysts, as well as working professionals who are interested in transitioning into the field of Data Science. While some basic Mathematics and Statistics knowledge is required, we have designed the course to be accessible to anyone with a strong motivation to learn and understand the topics.

Through this course, you will gain practical, hands-on experience in data science, and will be involved in group projects to further enhance your skills. Whether you are early in your career or seeking a career change, this course provides an excellent opportunity to learn and develop your data science expertise.

What You’ll Learn

The program curriculum is designed to cover 6 main topics: Introduction, Machine learning & Artificial intelligence, Regression, Classificaiton, Neural network & deep learning and time series. In addition, you will have the opportunity to work on a live project. 

 Week 1:

Week 1 introduces Anaconda, Jupyter Notebook, and Python programming for data science. You’ll learn key libraries, data visualization, and basic statistics while analyzing bank and finance data. By the end of the week, you’ll have a solid foundation in Python programming for data science

Week 2:

Week 2 of our data science course covers machine learning and artificial intelligence. You’ll learn about clustering techniques, the K-means algorithm, and supervised learning with different algorithms like linear regression, logistic regression, decision trees, and random forests. You’ll also explore concepts such as overfitting and cross-validation. By the end of the week, you’ll have a solid foundation in machine learning and be ready for advanced topics..

 Week 3:

Week 3 of our data science course covers supervised learning, where you’ll learn about linear regression and classification for predicting target variables. You’ll gain practical skills in implementing these techniques in Python and evaluating model performance, which can be applied to real-world problems like customer behavior and fraud detection.

By the end of the week, you’ll have a strong foundation in supervised learning, enabling you to pursue a career in data science or enhance your current skill set.

 Week 4:

In Week 4 of our data science course, you’ll learn all about classification and how it can be used to detect and prevent anomalies like fraud and spam. You’ll gain practical skills in building and training classification models using algorithms such as logistic regression, decision trees, and random forests. Join us for an exciting week of learning and gain an edge in the field of data science!

 Week 5:

Week 5 is all about neural networks and deep learning. You’ll learn about their basics and applications in various industries. You’ll also get hands-on experience building and training your own neural network model through the Tensor Flow Classification Project.

By the end of the week, you’ll have practical skills and a solid understanding of neural networks and deep learning, preparing you for advanced topics in data science.

 Week 6 :

Week 6 of our data science course covers time series analysis, including topics such as stationarity, autocorrelation, decomposition, and forecasting. Participants will work on a project analyzing time series data to apply what they’ve learned. By the end of the week, you’ll have practical skills to analyze time series data and make predictions about future trends

Week 7 – 12: 

Live Data Science projects



What type of roles can I apply for ?

Data scientists can apply their skills and knowledge in a variety of roles across different industries. Some of the common job titles that data scientists can apply to include:

  1. Data Scientist
  2. Machine Learning Engineer
  3. Data Analyst
  4. Business Intelligence Analyst
  5. Data Engineer
  6. Quantitative Analyst
  7. Operations Research Analyst
  8. Market Research Analyst
  9. Risk Analyst
  10. Data Science Consultant

Data science skills are in high demand across many different industries, including finance, healthcare, e-commerce, marketing, and more. With the increasing amount of data being generated by businesses and organizations, the need for skilled data scientists will only continue to grow in the future.

The Course

Our data science course covers a range of topics essential for any aspiring data scientist. Participants will learn about data wrangling and visualization, machine learning, supervised and unsupervised learning, classification, neural networks and deep learning, and time series analysis.

Through a mix of theoretical and practical sessions, including hands-on projects, participants will gain the practical skills and knowledge needed to succeed in the field of data science.

Do I get a certificate?

Yes, upon completion of our Business Analyst course, you will receive a certificate of completion. While the certificate is not currently accredited, it is recognized by many employers and can be a valuable addition to your resume. If needed, we are happy to provide a reference to potential employers to verify your completion of the course.

What is the learning journey?

A data science training is designed to provide participants with a comprehensive understanding of the field, including theoretical knowledge, practical skills, and real-world applications.

Participants can expect to learn the fundamental concepts of data science, including statistics, machine learning, data visualization, and data manipulation.

They will also receive hands-on experience using industry-standard tools and technologies, such as Python, R, and SQL, to solve data-driven problems.

The training will focus on providing participants with a learning experience that is interactive, engaging, and collaborative. Participants will have access to a wide range of learning resources, including online tutorials, group projects, and peer-to-peer learning.

They will also receive feedback and guidance from experienced instructors who are experts in the field of data science.

Through this training, participants will gain the skills and knowledge necessary to build a successful career in data science, as well as a network of peers and mentors who can support them throughout their journe

What happens after I have paid?

Once you have paid for the course, you will receive access to our learning portal where you can begin your studies. We will also send you additional emails confirming when your lessons are scheduled to begin. If you have any questions or concerns, please don’t hesitate to contact us. We are always happy to help and ensure that you have a smooth and enjoyable learning experience with us.

What is your refund policy?

Please note that we do not offer refunds once payment has been made, as students will have immediate access to our course materials. We encourage all potential students to carefully review our course information and make an informed decision before enrolling.

If you have any questions or concerns about the course, please don’t hesitate to contact us. We are always happy to help and ensure that you have a positive learning experience with us.

Data Science 

Ready to become a Data Scientist or Data Analyst? Enroll in our course and take the first step towards your dream career!

Our classes are hands-on and we’ll make sure you have the skills and experience to succeed in the field. Join us and unleash your potential in the exciting world of data!

£750 £500



12 weeks

Starts 26th August 2023

Book Taster Session

Coding in Python/R beginner level experience is required
Access to internet and computer 
Next Taster Session : Data Science 








 During our taster session, you will have the opportunity to learn about the fundamentals of Data Science and how they can be applied to real-world business problems.  The session will be led by an experienced data scientist who can answer questions and provide guidance on best practices. Overall, a data science taster session is a fun and engaging way to learn about the exciting field of data science and explore the skills needed to succeed in this in-demand career.

Start your Data Science journey today


What to learn all these from experts & live projects? 

  • Collect, clean, and preprocess large and complex data sets        from various sources.
  • Use statistical and machine learning techniques to analyze       data and derive insights that drive business decisions and          strategies
  • Develop predictive models and algorithms to forecast                future trends and identify patterns in data.
  • Communicate findings and insights to stakeholders                    through data visualizations, reports, and presentations
  •   Continuously monitor and evaluate the performance of             models and algorithms to ensure accuracy and relevance.

  • Collaborate with cross-functional teams, including                      engineers, product managers, and business stakeholders,        to identify opportunities for data-driven solutions to                  complex problems

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