Top 5 Data Analytics Courses In Liverpool With Live Training

Data is a buzzword. Data analytics is a booming career all over the world. IBM studies highlighted that 2.7 million new job opportunities are opening every year in data analytics. These statistics will grow in the future, and the increasing competition and skills in a business environment force companies and people to continuously adapt and learn new techniques. To develop a new career in Liverpool, UK, go through the best data analytics courses in Liverpool.

Impact of Data Analytics and its Benefits for Businesses:

• Customize or Personalize the Customer Experience

The business firm needs data from social sites, nowadays data is universally present, and analyzing and extracting the essential information is hard. The information is useful for businesses to know about their customers. Analyzing the data will give you insights into customers and customer needs.

Every business has to take equal care of both online and offline marketing. The different personnel for both the marketing leads to wastage of human resources. The data analyst has to take care of the firm from both perspectives.

To increase sales and profit, the firm understands the market. Behavioral analysis of the customer is the way to find the solution for the changing customer.

• Information for Decision Making

The primary role of data analytics is to facilitate decision-making with the help of correct information. Predictive analysis in the business is the forecasting technique that gives an idea of what will happen. If the business moves toward the decision. Prescriptive analytics is a remedy for catastrophic changes.

For instance, if a business wants to change the product or prices, it should carry the changes to a small sample of people to make the decisions. After employing changes data is analyzed with the help of a data analytics tool and a decision is taken by comparing the sales level.

• Organize the Operations

Data from data analytics give a picture of bottlenecks in the supply chain. For instance, if the supplier delays the raw materials without proper reason, the decision is taken with the help of data analytics to resolve the issue. Due to seasonality and trends, not all products have the same demand. Understanding the outside factors also depend on the data.

• Risk Mitigation and Management

Business is a package of risks and uncertainties. The tools in data analytics help to predict the upcoming risk or prevent the risk before it happens. In retailing, statistical tools are used to find where the theft occurred. The same will help to secure future risks. Data analytics with artificial intelligence, nowadays even monitor recurrent abnormalities and keep checking on the uncertainties.

• Enhancing Security

A business firm is surrounded by different departments. It is operating in a competitive environment. Businesses always face both negative and positive competition from competitors. Healthy competition always creates a cohesive environment. In negative cases, businesses have to keep a shrewd eye to handle the operation of the business and human resources. Data analytics tools and techniques help the business and prevent it from alien species which will harm the business. Nowadays companies use continuous software which runs to gauge the anomalies in the business environment. 

Types of Data Analytics:

• Descriptive Data Analytics:

No deeper digging. Data analytics techniques are used to analyze current and past data to predict the upcoming trends and relationships of the product, price, or services.

• Diagnostic Data Analytics:

It answers the why question. The use of algorithms and software to understand the depth of the problem. In business, why is the question difficult to answer? If the firm finds the answer to this question 75% of the problem will be solved. Here advanced techniques and tools are employed.

• Predictive Data Analytics:

Prediction of future. The past and current business performance is taken into consideration to find the trends in the business. Tools and techniques like data mining, machine learning (ML), artificial intelligence (AI), data modeling, and deep learning algorithms will be used.

• Prescriptive Data Analytics:

It is the final stage of data analytics. This analytics answers question like What the business has to do to achieve the thing. SAP (Systems, Applications, and Products in the Data Processing) software is used in this stage. Moreover, these analytics utilize all the analytics techniques to prescribe the appropriate decision for the problem. It is detailed analytics.    

Data Analytics Techniques:

• Regression Analytics:

In simple words, it delineates the relationships between the dependent and one or more dependent variables. It is a statistical technique.  Analyzes the change of one and how it affects the other.

• Factor Analysis:

Breaking down complex things into simple forms. In Business, data is segregated into different forms and variables, classifying or restricting the different forms into two or three simple forms which are easier to understand.

• Cohort Analysis:

In data analytics, cohort analytics is considered behavioral analytics. Analysis of the information based on the demographic subset. A cohort is a certain group that lives and experiences things at a certain point in a certain period.

• Monte Carlo Techniques:

It is a technique of randomization. Random samples are taken for analysis, and the answer is obtained after considering all the samples together. This is a useful technique to mitigate the risk and uncertainty in the business.

• Time Series Analysis:

It is a forecasting technique. The specific data is taken at a particular time, the graph is drawn based on time and data. It helps to understand the changes in the trend over a period.

Top Data Analytics Tools:

• R Programming and Python:

The prominent programming languages in data analytics are R and Python. R follows statistical analytics techniques. Python requires an integrated language that has a simple syntax and dynamic semantics. 

Both are freely available; you can download and use them for the analysis. The companies like Google, firefox use R on the other hand, YouTube, Facebook, and Netflix use Python. Both languages are continuously updated with contemporary changes.

• Microsoft Excel:

It is a simpler data analytics tool. You can use this for gauging personal, business, or enterprise performance. It has different characteristics and icons. Easiest data analytics tool used to spread the data in worksheets and obtain insights from the data. You can learn excel techniques from YouTube.

• Tableau:

It is a business intelligence tool. For eight consecutive years, Tableau secured the first rank in the Gartner Magic Quadrant. It is helpful to analyze and visualize the data. It avoids data munging. Citibank, Deloitte, and Skype are using this tool.

The Tableau family has Tableau Desktop, Tableau Server, Tableau Online, Tableau Reader, and Tableau Public. Tableau Public is free software, you can use for data visualization. Fast analysis, smart dashboards, automatic upgradation, and data exploration are some of the updates made in this tool. 

• Rapid Miner:

It is a platform for collective analysis. It deals with data processing, building machine learning models, and deployment. The Rapid Miner family has Studio, GO, Server, Real-time Scoring, and Radoop. BMW, Hewlett Packard Enterprise, and Sanofi use this platform. Now extended Rapid Miner platform is available for coders and BI users.

• KNIME (Konstanz Information Miner):

It is an integrative platform, open source, and freely available for data reporting, data mining, and machine learning.KNIME family has the KNIME Analytics Platform and KNIME Server. Companies like Siemens, and Novartis use this platform. KNIME does not require any prior programming language to analyze the data.

• Power BI:

It is a Microsoft product that gives interactive visualization with business intelligence, where users can create reports and dashboards for analysis. Power BI comprises Power BI Desktop, Power BI Premium, Power BI Pro, Power BI Mobile, Power BI Embedded, and Power BI Report Server. All vary in working. Adobe, GE healthcare uses this technique. Azure + Power BI and Office 365 + Power BI are new updates in use.

• Apache Spark:

It is an open-source engine useful for large-scale data processing. This interface has fault tolerance and processes the programming clusters. Oracle, Verizon, and Visa use this engine. It is a proliferation tool used for big data purposes.

• QlikView:

It is a tool used for data analysis, data visualization, and business intelligence. It has different products like data integration, data analytics, and developer platforms, all the products have free trial periods. CISCO, Samsung uses this tool. Qlik alerting for Qlik sense is the new upgrade in this tool.

• Talend:

Talend is a powerful data integration tool that delivers clear and accessible data for end users. Talend Open Source, Stitch Data Loader, Talend Pipeline Designer, Talend Cloud Data Integration, and Talend Data fabric are the products. ALDO and AstraZeneca are the companies that use this tool.

• Splunk:

It is the last tool on the list. It is a platform for data analysis, visualization, and data searching. Splunk Free, Splunk Enterprise, and Splunk Cloud are the products under this platform. It is used by many Fortune companies.

These are the tools you will learn in the below data analytics courses in Liverpool. Here you can find the curated list of the best data analytics courses in Liverpool.

Best Data Analytics postgraduate programs in Liverpool:

1. Data Analytics Courses in Liverpool – University of Liverpool

The University of Liverpool is one of the reputed universities. In this university, the data analytics course is offered to create effective and efficient businesses. This course will provide extensive studies on data analytics, and mining of big data to understand the competitive advantage of the firm over others. This program developed with the collaboration of Pepsico and AstraZeneca. This program gives you an in-depth study on big data analytics, it is suitable for doctorate research.

Course Name: MSc in Business Analytics and Big Data Science

Course Fee: 14,000 GBP for UK students, 27,000 GBP for International students

Course Duration: 12 months (full-time), 24 months (part-time)

Mode of Learning: on campus

Course Curriculum:

This curriculum is currently followed and given on the university website, in the coming year, slight changes are expected.

Compulsory Modules:

• Data Mining and Machine Learning (ML).
• Digital Business, Technologies, and Management.
• Big Data and its Management.
• Digital Strategies.
• Big Data Analytics for Business.
• Business Simulation Models and Analysis.
• MSc Project.

Optional Modules:

• Big Data Analytics.
• Operations Modeling and Simulation for Business.
• Service Operation Management.
• Project Management and Portfolio Management in Organizations.
• Logistics: Global Maritime Logistics.
• Data Mining and Visualization Techniques.
• Logistics and Physical Distribution.
• Enterprise System with SAP software.
• Global Corporate Strategy.
• Creation of Sustainable Supply Chain Management.

Career Prospects:

• A unique team for supporting your data analytics path from starting the course to guiding you in choosing the correct career.
• They will give you knowledge on contemporary and upcoming data analytics and big data opportunities and challenges.
• Master’s consultancy challenges- students from several groups presented their problems from different organizations.
• During this consultancy program, students have one mentor to guide them throughout the time to pitch a perfect idea for the problem at hand.
• The main purpose of this course is to prepare tomorrow’s managers by exposing them to current challenges and contemporary skills.
• They facilitate you in learning the current software and techniques.
• Capstone projects to understand the business scenario.
• Placement in leading companies with handsome packages.

Entry Requirements:

• Students with a 2:1 standard in mathematics, computer, engineering, management, or related disciplines.
• Equivalent qualification for non-UK students.

For English requirements,

• GCSE- Grade C
• IELTS- 6.5 bands.
• International Baccalaureate- standard level (grade 5).
• Hong Kong’s use of English AS Level- C
• India 12 th standard- 70% or above from central or metro state boards.
• WAEC- C6.
• Cambridge Proficiency- C.

Contact Details:

Phone: +44 (0) 151 794 2000 

Email: [email protected]

Recommended Reads

Data Analytics Courses In India 

Data Analytics Course Fee

Data Analyst Skills

Scope of Data Analytics In India

Data Analyst Career 

 Free Data Analytics Courses

2. Data Analytics Courses in Liverpool – Liverpool Hope University

Liverpool Hope University provides an accredited MSc degree in data analytics. This degree teaches mathematics, computer, and programming to scrape the data to obtain the best decisions. This course gives insights into novel future perspectives and their use in data analytics. BCS accredited data analytics course.

Course Name: MSc Data Science

Course Fee: 6000 GBP for UK students and 12,500 GBP for International students

Course Duration: 12 months 

Mode of Learning: on-campus (full-time)

Course Curriculum:

Core Courses or Skills:

• Data Analytics.
• Numerical Methods.
• Theoretical Computer Science.
• R Programming.
• Applied Computer Science.

Optional Courses:

• Big Data and Cloud Computing.
• Artificial Intelligence.
• Internet of Things (IoT).
• Mobile Computing.
• High-Performance Computing.

60 credits dissertation is provided to obtain practical skills in real projects. The student’s facilitator helps them throughout the study. Students are guided to specific areas of research, this will be the exposure to gain insights into business problems.

Contact Details:

Phone: +44 (0)151 291 3000

Email: [email protected]

Recommended Articles 

• Data Analytics Courses in Limerick
• Data Analytics Courses in Germany
• Data Analytics Courses in Ghana
• Data Analytics Courses in London
• Data Analytics Courses in New York
• Data Analytics Courses In The UK

3. Data Analytics Courses in Liverpool – Liverpool John Moores University

Liverpool John Moores University is recognized as the best public research university in Liverpool. This university provides many courses for both UK and International students. This university provides MSc Data Science in 4 ways with different credits.

Data Analytics Courses in Liverpool – MSc Data Science

For UK students:

Course Credits: 180 and 240 

Course Fee: 8500 GBP for 180 credits; 13,866 GBP for 240 credits

Course Duration: one or two years

Mode of Learning: on-campus (full-time)

For International Students:

Course Credits: 180 and 240 

Course Fee: 16,600 GBP for 180 credits; 21,966 GBP for 240 credits

Course Duration: one or two years

Mode of Learning: on-campus (full-time)

Course Curriculum:

Core Modules:

• Module 1: Introduction to Data Science and Analytics (20 credits). 
• Module 2: Statistical Methods in R Programming (20 credits).
• Module 3: Big Data Analytics and Computing Techniques (20 credits).
• Module 4: Research Methods in Data Science and Data Analytics (20 credits).
• Module 5: Machine Learning (ML) and Data Mining Techniques (20 credits).
• Module 6: Efficient Algorithms for Complex Data Sets (20 credits).
• Module 7: Project Work- Data Science Project (60 credits).

Optional Modules:

Work Based Project with 60 credits.

The optional module is to enhance learning with the help of advanced techniques and projects.

Entry Requirements:

• Not less than 2:2 numerate in mathematics, science, or computer-based subjects.
• A level or equivalent, in math- Grade C or more.
• 6.5 band in IELTS (less than 6 bands are not accepted).

Contact Details:

Phone: 0151 231 2777

Email: [email protected], [email protected]

4. Data Analytics Courses in Liverpool – Simplilearn

 Data analytics is required in all organizations. The demand for data analytics people is increasing. Simplilearn provides data analytics training with R Programming language. It is an extensive course that gives insights to students to handle business problems.

Course Name: Data Science with R Programming Training

Course Fee: 969 GBP for self-paced learning

Course Duration: 64 hours of learning

Mode of Learning: online

Course Curriculum:

• Module 1: Introduction to the Course.
• Module 2: Introduction to Basics of Business Analytics.
• Module 3: Introduction to R Programming.
• Module 4: Data Structures.
• Module 5: Data Visualization Techniques.
• Module 6: Statistics for Data Science (part 1).
• Module 7: Statistics for Data Science (part 2).
• Module 8: Regression Analysis.
• Module 9: Classification Techniques.
• Module 10: Clustering Techniques.
• Module 11: Association.
• Mathematics Refresher (Free Course).
• Statistics and its Essential for Data Science (Free Course).

Capstone Projects:

• In Amazon e-commerce, improve recommendation engines with the help of rating prediction.
• Walmart, forecasts the sales demand of the products.
• Comcast, increase the customer experience.

Skills Covered in This Course:

• Analytics skill.
• R programming.
• Data Visualization Tools.
• Apply and DPLYR functions.
• Graphics in R Programming.
• Apriori algorithm.
• K means DBSCAN Clustering and more.

Other Courses:

• 9 data science and 11 data analysis courses.
• Artificial Intelligence (AI) and Machine Learning (ML) Course.
• Project Management.
• Cloud Computing.
• DevOps.
• Software Development.
• Quality Management.
• IT Services and Architecture.
• Big Data.
• Digital Marketing.
• Cyber Security and more.

Eligibility Criteria for Data Analytics Courses in Liverpool (Simplilearn):

• IT Professionals.
• Software Developers.
• Advanced mathematician and statistician.
• Students who have analytical and critical thinking skills.
• Technical Business Professionals.

Contact Details:

Phone: 0 800 088 5474

5. Data Analytics Courses in Liverpool – SquareOne Training

6 courses related to data analytics

Excel Basic Level:

• Course Fee: 195 GBP
• Course Duration: one day
• Mode of Learning: on-campus (in-person learning)

Excel Intermediate Express:

• Course Fee: 220 GBP
• Course Duration: one day
• Mode of Learning: on-campus (in-person learning)

Excel Intermediate level:

• Course Fee: 350 GBP
• Course Duration: two days
• Mode of Learning: on-campus (in-person learning)

Dashboards:

• Course Fee: 250 GBP
• Course Duration: one day
• Mode of Learning: on-campus (in-person learning)

Excel- Power Query (advanced):

• Course Fee: 295 GBP
• Course Duration: one day
• Mode of Learning: on-campus (in-person learning)

Excel Advanced level:

• Course Fee: 220 GBP
• Course Duration: one day
• Mode of Learning: on-campus (in-person learning)

Contact Details:

Phone: +44 (0)151 650 6907

Email: [email protected]

Frequently Asked Questions on data analytics courses in Liverpool:

Q1. How much do data analysts learn in Liverpool?

• The average salary of a data analyst in Liverpool is 30,660 GBP per year.
• The minimum salary of a data analyst in Liverpool is 21,413 GBP per year.
• The maximum salary of a data analyst in Liverpool is 43,902 GBP per year.

Q2. Which mode of learning is best to study data analytics courses in Liverpool?

You can take either online or offline mode of learning. The online mode requires self-discipline compared to normal learning. But for working professionals, the online mode will save much time. Both ways are good if you want to learn new skills. Other than this hybrid way is good and productive.

Q3. Why do I choose the above-mentioned data analytics courses in Liverpool?

Above mentioned courses are curated from the website. Most courses are post-graduate and full-time students flexible for students who want to pursue higher studies. Most of the courses are on-campus courses. For professionals who want to upskill their careers, online learning is suitable compared to higher studies.

Concluding thoughts on the top data analytics courses in Liverpool:

• Data Analytics plays a significant role in organizations.
• In the future, it will create more job opportunities.
• Handsome salaries.
• Wide streams of jobs.
• Produces best decision makers.
• Freelancing and work-from-home opportunities.

These are the reasons to pursue a data analytics career. In the above content, you have provided the 5 best data analytics courses in Liverpool. From the above content, you may get sufficient knowledge of the basics of data analytics, tools, and techniques.