Data Science Course Features



Live Virtual

Instructor Led Live Online


  • IABAC® & DMC Certification
  • 6-Month | 400 Learning Hours
  • 120-Hour Live Online Training
  • 25 Capstone & 1 Client Project
  • 365 Days Flexi Pass + Cloud Lab
  • Internship + Job Assistance

Blended Learning

Self Learning + Live Mentoring


  • Self Learning + Live Mentoring
  • IABAC® & DMC Certification
  • 1 Year Access To Elearning
  • 25 Capstone & 1 Client Project
  • Job Assistance
  • 24*7 Leaner assistance and support

Corporate Training

Customize Your Training

  • Instructor-Led & Self-Paced training
  • Customized Learning Options
  • Industry Expert Trainers
  • Case Study Approach
  • Enterprise Grade Learning
  • 24*7 Cloud Lab


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Data Science Certifications

The entire training includes real-world projects and highly valuable case studies.

IABAC® certification provides global recognition of the relevant skills, thereby opening opportunities across the world.

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Why DataMites Infographic


  • Introduction to Data Science
  • Industry applications
  • Terminologies
  • Anaconda - Python distribution Installation and setup
  • Jupyter Notebook
  • Python Basics
  • Data structures
  • Control statements
  • R Installation and Setup
  • R Studio Basics
  • R Data Structures
  • Control Statements
  • Data Science Packages
  • Essential mathematics
  • Linear algebra
  • Linear Transformation
  • Types of Matrices
  • Matrix properties and Operations
  • Probability and Calculus
  • Statistics Introduction
  • Terminologies
  • Inferential Statistics
  • Harnessing Data
  • Exploratory Analysis
  • Distributions
  • Central Limit Theorem
  • Hypothesis Testing
  • Correlation and Regression
  • Numpy Array functions
  • Data munging with Pandas
  • Imputation
  • Outlier analysis
  • Visualization basics
  • Matplotlib Introduction
  • Basic plots
  • Customizing plots
  • Sub-plots
  • Statistical Plots
  • Seaborn package introduction
  • Machine Learning Introduction
  • ML core concepts
  • Unsupervised and Supervised Learning
  • Clustering with K-Means
  • Linear Regression
  • Logistic Regression
  • K-nearest Neighbor
  • Bayes Theorem
  • Naïve Bayes Algorithm for text classification
  • Decision Tree
  • Ensemble methods: Random Forest
  • Extra Trees
  • SVM
  • Boosting Techniques
  • Artificial Neural Network
  • Adv Metrics
  • Imbalanced Dataset
  • Grid search
  • K-fold Cross validation
  • Relational Database Management Systems basics
  • SQL Introduction
  • Connection to SQL databases
  • Fetching data with SELECT, WHERE condition, SQL JOINs, SQL CRUD operations
  • Deep Learning Introduction
  • TensorFlow and Keras
  • Convolution Neural Network basics
  • End to End image classification of cats and dogs using TensorFlow-Keras platform
  • Visual Analytics basics
  • Tableau Introduction
  • Connecting to data source
  • Dimensions vs. Measures
  • Basic plots, compound plots, forecasting, publishing
  • ML Deployment Strategies
  • Flask introduction
  • Packing training ML model
  • Deploying it on Flask as API
  • Introduction to Big Data
  • Hadoop Concepts
  • Spark Big Data for Data Science Processing
  • Handling Big Data in Machine Learning Pipeline
  • Data Science Project Management method
  • Business Case
  • Risk and Limitation of Machine Learning
  • Project Pit falls




Data Science has found great relevance, with regards to applications in business organisations. Almost every modern-day enterprise works in close coordination with data, and structures all their important decisions based on the valuable insights derived from it. A Data Scientist happens to be a significant part of the workforce of an organisation, as it is based on the inferences drawn by a data scientist that further plans of action are decided upon. According to a  report published by  IBM, the job opportunities in the Data Science field is expected to grow up to 700000. 

Edinburgh is a city in Scotland, known for its elegant infrastructure and highly recognised educational institutions. The Certified Data Scientist,  is a Data Science certification course offered by DataMites in Glasgow. The Data Science online course is led by experienced instructors.

DataMites, in Edinburgh, offers dual certification programs, in collaboration with IABAC and IBM, that are recognised on a global platform. The courses provided by DataMites are accredited to IABAC- Globally recognised body for Business Analytics and Data Science Certifications. The duration of the training is 6 months with 120 Hrs of training. DataMites has a faculty with rich industry experience and intense subject matter expertise. The training provider offers job assistance- Resume building, interview preparations, expanding networks for job possibilities, along with Internship opportunities, with 25 capstone projects and 1 live project.

DataMites also provides training for Machine Learning, Deep Learning, Python, IoT, Python for Data Science, and the Artificial Intelligence courses in Edinburgh.


Data Science is the art of collecting, classifying, summarizing data sets, and deriving valuable insights from these data sets. These insights are used to take further decisions. Data Science has become instrumental in adding value to the business.


There are no mandatory prerequisites. However, basic knowledge of Statistics would be an added advantage.


  • Analytical skills
  • Basic knowledge of Mathematics and Statistics 
  • Knowledge of coding
  • Skills of working with programming languages like ‘R’ and Python.

The various business skills required, to become a Data Scientist are as follows:-

  • Industry Knowledge
  • Problem Solving Skills
  • Communication Skills 
  • Curiosity  

Industry Knowledge:- A Data Scientist should have a clear understanding of the areas that need to be paid attention and the areas that need to be ignored. This is possible only if the Data Scientist has sound knowledge of the industry.

Problem Solving Skills:- A Data Scientist is known for finding solutions to problems. For doing so, a Data Scientist must understand the problem, which can be achieved only after a deep study of the scenario.

Communication Skills:- A Data Scientist often needs to communicate the findings arrived at, with regards to analytics and business insights. A Data Scientist should be a good conversationalist. 

Curiosity:- A Data Scientist should always be curious enough while approaching a problem. Finding out the root of the problem depends upon the curiosity of a Data Scientist.


As far as Data Scientist is concerned Python is the most effective programming language, with a lot of libraries available. Python can be deployed at every phase of data science functions. It is beneficial in capturing data and importing it into SQL. Python can also be used to create data sets.


Data Science is all about managing a set of information received from various sources, to arrive at conclusions. The data that is acquired needs to be analysed and decisions need to be taken. Statistics makes it easier to work on data. Various statistical techniques such as Classification, Regression, Hypothesis Testing, Time Series Analysis is used to construct data models. With the help of Statistics, a Data Scientist can gain better insights, which enables to effectively streamline the decision-making process.

  • The different roles, Data Science is subjected to, in an organisation.
  • Analysing and managing projects.
  • Employing various data models.
  • Making use of sampling techniques
  • Prediction and Analysis
  • Segmentation through clustering technique
  • Making use of Linear and Logistics regression methods

The duration of the Data Science course in Edinburgh is 6 months,  a total of 120 hours of training. The training sessions are provided on weekdays and weekends. You can opt between the two, as per your convenience.

The course fee for the Data Science course in the U.K range from £ 613.32-£1533. DataMites offers a Data Science course in Edinburgh at an affordable price of £1390.


Data Science is a vast subject for study, it is a mix of Statistics and Computer Science. DataMites in Edinburgh, offers quality training sessions in Data Science, Artificial Intelligence, Machine Learning, etc. The data science courses provided by DataMites in Edinburgh are exclusively designed in tune with the current industry requirements. Also with a number of projects to work on, under the mentoring of industry experts. 

Whether you need a P.G degree to pursue a data science certification can be better understood, based on your knowledge in the Science & Technology, Engineering and Management domain. If you have a strong knowledge base in any of the mentioned areas

After completing the  Certified Data Scientist Course in Edinburgh, an individual will be well equipped with the following:-

  • Intense knowledge of the workflow, of a Data Science project.
  • Learn the basics of the use of Statistics in Data Science.
  • Gain knowledge of the various Machine Learning Algorithms.
  • Knowledge of Data Forecasting, Data Mining and Data Visualization.
  • Ways to deliver end to end Data Science projects.

Edinburgh is known for lots of business opportunities and large corporate houses adorning the city. This, in turn, contributes to new employment opportunities being created. Hence opting for a Data Science course in Edinburgh will help an individual to leverage the available possibilities in the best manner, to land a career in Data Science.

Data Scientists have been in great demand in Edinburgh. As an acknowledgement to this rising demand, DataMites has come with the Certified Data Scientist course in Edinburgh. The course covers all the areas of Data Science, Machine Learning, basics of Mathematics and Statistics, etc. Also, the Certified Data Scientist course, covers all the practical aspects of the knowledge required to become a Data Scientist. 

Edinburgh, in the U.K, has a lot of business opportunities. It consists of many large companies, business houses, with large amounts of transactions happening every day, as a result of which there is an equally large amount of data generated daily. Also, the U.K. is known for many recognised universities. Learning Data Science in the U.K will be a great opportunity for students as well as professionals. Graduates freshers and employees working in organisations can leverage these opportunities to easily land a Data Science job. 

Edinburgh has several large companies, Banking and Financial institutions, Insurance companies, Automobile companies, Manufacturing enterprises, as a result, Edinburgh happens to be the most sought after city when it comes to career opportunities in Data Science.

Edinburgh is a city that is always bustling with business activities, financial transactions happening in huge volumes. Hence it serves to be a great opportunity for starting a Data Science Career in Edinburgh.

As per the reports published by Indeed.com, the average salary of Data Scientists in Edinburgh is £53,735 annually. 

A large amount of data is being generated through various activities daily. For instance, data of investments done in the stock market, data of the financial transactions, data with regards to the browsing history. The company which you are associated with records and maintains your data. For example, when you make regular online purchases, the provider collects all the information on your activity and stores it securely. It then makes use of the same data to make further product recommendations. Different companies use data in different ways.

  • Small-sized companies employ  Google Analytics for analyzing the small size of data.
  • Medium-sized companies have data that will need a Machine Learning Expert to work on it.
  • Big sized companies may need data science professionals who are experts in Machine Learning and Data Visualization.

Data Science is all about the collection and classification of information and using the same to derive insights. Python and R are the two programming languages that are used in the data science process. Some of the reasons, for python being the most preferred programming language in comparison to R:-

  • Easy to learn: Python is easier to understand and master, in comparison to R 
  • Flexible: The flexibility offered by Python offers is better when compared to the R programming language.
  • Availability of libraries:- Python has a wide range of libraries available, such as pandas, scikit-learn, etc. This makes it easier in handling machine learning projects.
  • Data visualization: By using matplotlib in Python, you can do the plotting of complex data representations into 2D plots. Data visualization is a significant process in the job of a data scientist. Python can be used for Data Visualisation. 
  • Dual Certification

  • Experienced Trainers

  • Industry aligned courses

  • Internship Opportunities

  • Job assistance

The mode of training offered by DataMites for Data Science course in Edinburgh is online training.

  • Graduate Freshers 

  • Individuals looking to switch their career into Data Science.

  • Professionals who have experience in the Data Science domain.

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DataMites provides a range of courses in Data Science, Machine Learning, Artificial Intelligence,in Edinburgh with training sessions uncompromised of quality, conducted by industry experts, professional data scientists who possess intense knowledge of the subject matter. The training is conducted in the online mode. The sessions are conducted based on case studies approach, with business cases taken up for discussion.

DataMites is a training provider that imparts quality training and upskilling in Data Science, for freshers who are data enthusiasts and professionals who wish to enhance their career possibilities. Above all DataMites offers the following;-

  • Industry aligned courses 
  • Online sessions that ensure good engagement.
  • Expert Trainers, who possess a vast knowledge of the subject matter.
  • Case studies approach, which delved deep into the practical application of the concepts.
  • Opportunity to get connected with a network of Data Science professionals.
  • Career Guidance
  • Opportunity to work on projects 

DataMites has a faculty of trainers who possess deep subject matter expertise and significant years of experience in the field of Data Science.

The course fee for the Data Science course in the U.K range from £ 613.32-£1533. DataMites offers a Data Science course in Birmingham at an affordable price of £1390.

The registrations cancelled within 48 hrs of enrollment will be refunded in full. The processing time of the refund is within 30 days, from the date of the receipt of  cancellation request

Yes. You will receive a certificate from DataMites after the completion of the course. 

DataMites in Edinburgh offers dual certifications in collaboration with IABAC and IBM. IABAC is a global body, which offers certifications in Business Analytics and Data Science. IABAC is founded on the principles of EDISON Data Science Framework (EDSF). IBM provides the best in class industry certifications. DataMites provides a range of certifications in Data Science, Machine Learning, Artificial Intelligence. All the data science certifications offered by DataMites are structured based on the industry trends.

Enrolling for online training online is very simple. The payment can be done using your debit/credit card that includes Visa Card, MasterCard; American Express or via PayPal. You will receive the receipt after the payment is successful. In the case of more queries, you can get in touch with our educational counsellor who will guide you with the same.

You have access to the online study materials from 6 months up to 1 year.

DataMites offers online training in Edinburgh. However, classroom training can also be made available, if there is adequate demand.

DataMites offers data science sessions, both on weekdays and weekends. You can opt between the two, based on your convenience.

DataMites offers data science sessions, in the Morning and Evening. You can opt, based on your convenience.

Yes DataMites does provide an online lab facility to practice Data Science.

Yes. DataMites do provide live data science projects, which are done under the guidance of industry experts.


The data science course offered by DataMites in Edinburgh includes 25 capstone projects and 1 client project.

The training sessions provided by DataMites in Edinburgh are primarily online. However, classroom training can be made available 

DataMites is a training provider that imparts quality training and upskilling in Data Science, for freshers who are data enthusiasts and professionals who wish to enhance their career possibilities. Above all DataMites offers the following;-

  • Industry aligned courses 
  • Online sessions that ensure good engagement.
  • Expert Trainers, who possess a vast knowledge of the subject matter.
  • Case studies approach, which delved deep into the practical application of the concepts.
  • Opportunity to get connected with a network of Data Science professionals.
  • Career Guidance
  • Opportunity to work on projects  

DataMites provides Flexi Pass, which gives you the privilege to attend unlimited batches in a year. The flexi pass is specific to one particular course. Therefore if you have a flexi pass for one particular course of your choice, you will be able to attend any number of sessions of that course. It is to be noted that a flexi pass is valid for a particular period.

DataMites accepts all the online payments(Debit/Credit) through Razor pay. If you opt to pay through your credit card, there will be an EMI option. DataMites collect token advance during the time of registration and the remaining payment should be settled in full before the completion of the course. 

All the online sessions are recorded and shared with the candidates, if you happen to miss a session, you can refer to the recordings.

Yes, the Data Science certification exam fee is included in the total course fee.

Yes. DataMites offers internship opportunities along with the course. You will be mentored by industry experts through the internship. Once the internship is completed, DataMites provides you with the internship certificate along with the experience certificate.

The DataMites Placement Assistance Team(PAT) helps the candidates to have an easy start in his/her career. The team offers services like Resume Building, Interview Preparation. The team will assist you in the following areas;-

  • Project Mentoring- 100 hrs Live mentoring in industry projects.
  • Interview Preparations- Mock Interview sessions.
  • Resume Support- Personal guidance in resume creation by professionals.
  • Doubt clearing sessions- Live doubt clearing sessions on 
  • Job updates- Interview connects.

No, DataMites doesn’t guarantee a job, but it will provide all the support and guidance needed, in getting a job, Resume Building, Interview preparations. DataMites internships offer a candidate to work with industry experts, which helps in knowing the corporate way of working. This proves as a stepping stone to an individual’s professional life.

DataMites internship programs are exclusively designed for a candidate to enable him/her to get a practical experience of working on live projects. The candidate gets an opportunity to work under the guidance of industry experts.

The DataMites Placement Assistance Team(PAT) facilitates the aspirants in taking all the necessary steps in starting their career in Data Science. Some of the services provided by PAT are: -

  • 1. Job connect
  • 2. Resume Building
  • 3. Mock interview with industry experts
  • 4. Interview questions

The DataMites Placement Assistance Team(PAT) conducts sessions on career mentoring for the aspirants with a view of helping them realize the purpose they have to serve when they step into the corporate world. The students are guided by industry experts about the various possibilities in the Data Science career, this will help the aspirants to draw a clear picture of the career options available. Also, they will be made knowledgeable about the various obstacles they are likely to face as a fresher in the field, and how they can tackle.

No, PAT does not promise a job, but it helps the aspirants to build the required potential needed in landing a career. The aspirants can capitalize on the acquired skills, in the long run, to a successful career in Data Science.

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