Professional certification in IT Support & Solutions, IT Technical

Data Analyst Apprenticeship

Our IT training courses are developed with industry-standards and career-focused technologies.


Speak to an advisor
Award:
Certification
Duration & Study Mode:
Full time, Part-time, Evening and Weekends, Virtual online
Location:
London, Flexible online
Duration: 5 Days / 5 Weeks

A Data Analyst Apprenticeship typically provides individuals with a structured learning path to acquire the necessary skills and knowledge to become proficient data analysts. While specific programs may vary, here’s a general overview of what a data analyst apprenticeship might entail:

Introduction to Data Analysis

  1. Data Fundamentals: Introduction to different types of data (structured, unstructured, semi-structured), data sources, and data formats.
  2. Basic Statistics: Understanding key statistical concepts such as mean, median, mode, standard deviation, variance, probability distributions, etc.
  3. Data Visualization: Learning how to effectively visualize data using tools like Excel, Tableau, Power BI, or Python libraries like Matplotlib and Seaborn.
  4. Introduction to SQL: Basics of SQL (Structured Query Language) for data manipulation and extraction from relational databases.

Intermediate Data Analysis

  1. Advanced Statistics: Probability distributions, hypothesis testing, regression analysis, time series analysis, etc.
  2. Data Cleaning and Preprocessing: Techniques for cleaning and preparing data for analysis, handling missing values, outliers, duplicates, etc.
  3. Exploratory Data Analysis (EDA): Techniques for exploring and summarizing datasets to uncover insights and trends.
  4. Intermediate SQL: Advanced SQL queries, subqueries, joins, aggregations, etc.
  5. Introduction to Programming: Basics of programming in Python or R, focusing on data analysis libraries like Pandas, NumPy, or tidyverse.

Advanced Data Analysis

  1. Machine Learning Fundamentals: Introduction to machine learning concepts, algorithms, and techniques such as supervised learning, unsupervised learning, and model evaluation.
  2. Feature Engineering: Techniques for selecting, transforming, and creating features to improve model performance.
  3. Model Building and Evaluation: Building predictive models using algorithms like linear regression, decision trees, random forests, etc., and evaluating model performance using metrics like accuracy, precision, recall, etc.
  4. Advanced Data Visualization: Creating more complex and interactive visualizations using tools like Plotly, D3.js, or advanced features of Tableau and Power BI.
  5. Big Data Concepts: Introduction to big data technologies like Hadoop, Spark, and distributed computing frameworks for handling large-scale datasets.
  6. Data Ethics and Privacy: Understanding ethical considerations and privacy concerns related to data analysis and handling sensitive information.

Practical Applications and Projects

  1. Real-world Projects: Working on real-world data analysis projects to apply acquired skills and solve practical problems.
  2. Case Studies: Analyzing case studies from various industries such as finance, healthcare, e-commerce, etc., to understand how data analysis is applied in different contexts.
  3. Internship or Work Experience: Gaining hands-on experience through internships or apprenticeship placements in companies or organizations.
  4. Portfolio Development: Building a portfolio of data analysis projects showcasing skills, techniques, and accomplishments.

Soft Skills Development

  1. Communication Skills: Communicating findings and insights effectively through reports, presentations, and visualizations.
  2. Collaboration and Teamwork: Working collaboratively in teams, sharing insights, and contributing to group projects.
  3. Problem-Solving Skills: Developing analytical and critical thinking skills to solve complex problems using data-driven approaches.
  4. Time Management and Organization: Managing time efficiently to meet project deadlines and prioritize tasks effectively.

Certification and Assessment

  1. Certification: Upon completion of the apprenticeship program, individuals may receive a certificate or credential demonstrating proficiency in data analysis.
  2. Assessment: Assessment of skills and knowledge acquired throughout the program through exams, quizzes, projects, and evaluations by mentors or instructors.

Continuous Learning and Professional Development

  1. Networking: Building professional networks within the data analysis community through conferences, workshops, meetups, and online forums.
  2. Continuous Learning: Staying updated with the latest trends, tools, and techniques in data analysis through self-study, online courses, and continuing education programs.
  3. Career Development: Exploring career opportunities and paths within the field of data analysis, such as data scientist, business analyst, data engineer, etc., and setting goals for career advancement.
Group-Icon2
Small Groups

With small groups of students, our instructors can work closely with each student.

Schedule
Flexible Class Schedules

Our class schedules are flexible on weekdays, weekend, or evenings to suit your schedule.

Instructors
Experienced Instructors

Our instructors follow a modified are personalized approach to engage students during class

Lab-Facilities
Hi-Tech Lab Facilities

Our students can access our lab facilities anytime for practical experience during and after studies.

Syllabus

Here's a detailed course outline for a Data Analyst Apprenticeship program:

Module 1: Introduction to Data Analysis

1.1. Data Fundamentals

  • Types of data: structured, unstructured, semi-structured
  • Data sources and formats
  • Introduction to databases

1.2. Basic Statistics

  • Descriptive statistics: mean, median, mode, standard deviation
  • Probability distributions
  • Introduction to inferential statistics

1.3. Data Visualization

  • Principles of effective data visualization
  • Tools: Excel, Tableau, Power BI
  • Basic charts and graphs

1.4. Introduction to SQL

  • Querying databases using SQL
  • Basic SELECT statements
  • Filtering, sorting, and aggregating data

Module 2: Intermediate Data Analysis

2.1. Advanced Statistics

  • Hypothesis testing
  • Regression analysis
  • Time series analysis

2.2. Data Cleaning and Preprocessing

  • Handling missing values
  • Removing duplicates and outliers
  • Data transformation techniques

2.3. Exploratory Data Analysis (EDA)

  • Summary statistics and visualizations
  • Correlation analysis
  • Identifying patterns and trends

2.4. Intermediate SQL

  • Joins and subqueries
  • Aggregating data
  • Advanced filtering techniques

Module 3: Advanced Data Analysis

3.1. Machine Learning Fundamentals

  • Introduction to machine learning concepts
  • Supervised vs. unsupervised learning
  • Model evaluation techniques

3.2. Feature Engineering

  • Feature selection
  • Feature transformation
  • Creating new features

3.3. Model Building and Evaluation

  • Building predictive models using algorithms like linear regression, decision trees, and random forests
  • Cross-validation and hyperparameter tuning
  • Model evaluation metrics: accuracy, precision, recall, etc.

3.4. Advanced Data Visualization

  • Interactive visualizations
  • Geospatial data visualization
  • Dashboard design principles

Module 4: Practical Applications and Projects

4.1. Real-world Projects

  • Applying data analysis skills to solve practical problems
  • Working with real datasets

4.2. Case Studies

  • Analyzing case studies from various industries
  • Understanding how data analysis is applied in different contexts

4.3. Internship or Work Experience

  • Hands-on experience in a real-world setting
  • Applying learned skills in a professional environment

4.4. Portfolio Development

  • Building a portfolio of data analysis projects
  • Showcasing skills and accomplishments

Module 5: Soft Skills Development

5.1. Communication Skills

  • Communicating findings effectively through reports and presentations
  • Visual storytelling

5.2. Collaboration and Teamwork

  • Working collaboratively in teams
  • Sharing insights and ideas

5.3. Problem-Solving Skills

  • Analytical and critical thinking skills
  • Approaching problems using data-driven methods

5.4. Time Management and Organization

  • Managing time efficiently
  • Prioritizing tasks effectively

Module 6: Certification and Assessment

6.1. Certification

  • Upon completion of the program, receive a certificate or credential

6.2. Assessment

  • Evaluations through exams, quizzes, and projects
  • Feedback from mentors and instructors

Module 7: Continuous Learning and Professional Development

7.1. Networking

  • Building professional networks within the data analysis community
  • Participating in conferences, workshops, and meetups

7.2. Continuous Learning

  • Staying updated with the latest trends and technologies in data analysis
  • Pursuing further education and certifications

7.3. Career Development

  • Exploring career opportunities in data analysis
  • Setting goals for career advancement

This comprehensive course outline covers the key topics and skills necessary for a Data Analyst Apprenticeship program. It provides a structured learning path from basic concepts to advanced techniques, along with practical applications and soft skills development.

When would you like to start?

Start Date TimingDaysDuration Mode Of TrainingAvailability Reserve Now
5/02/202410:00 – 18:00Mon - Fri5 Days Classroom / OnlinePlaces available Future Dates/Request Price
12/02/202410:00 – 18:00Mon - Fri5 DaysClassroom / OnlinePlaces available Future Dates/Request Price
17/02/202410:00 – 16:00Sat Only5 WeeksClassroom / OnlinePlaces available Future Dates/Request Price
19/02/202410:00 – 17:00Mon - Fri5 daysClassroom / OnlinePlaces available Future Dates/Request Price
24/02/202410:00 – 17:00Sat Only5 WeeksClassroom / OnlinePlaces available Future Dates/Request Price
26/02/202410:00 – 16:00Mon - Fri5 DaysClassroom / OnlinePlaces available Future Dates/Request Price
2/03/202410:00 – 17:00Sat Only5 WeeksClassroom / OnlinePlaces available Future Dates/Request Price
4/03/202410:00 – 16:00 Mon - Fri5 DaysClassroom / OnlinePlaces available Future Dates/Request Price
9/03/202417:30 – 21:30Sat Only5 WeeksClassroom / OnlinePlaces available Future Dates/Request Price
11/03/202410:00 – 16:00Mon - Fri5 DaysClassroom / OnlinePlaces available Future Dates/Request Price
16/03/202417:30 – 21:30Sat Only5 WeeksClassroom / OnlinePlaces available Future Dates/Request Price
18/03/202410:00 – 17:00Mon - Fri5 Days Classroom / OnlinePlaces available Future Dates/Request Price
1/04/202410:00 – 16:00Mon - Fri5 DaysClassroom / OnlinePlaces available Future Dates/Request Price
8/04/202410:00 – 16:00Mon - Fri5 days Classroom / OnlinePlaces available Future Dates/Request Price
13/04/202418:30 – 21:30Sat Only5 Weeks Classroom / OnlinePlaces available Future Dates/Request Price
15/04/202410:00 – 18:00Mon- Fri5 DaysClassroom / OnlinePlaces available Future Dates/Request Price
20/04/202410:00 – 17:00Sat Only5 WeeksClassroom / OnlinePlaces available Future Dates/Request Price
22/04/202410:00 – 17:00Mon - Fri5 DaysClassroom / OnlinePlaces available Future Dates/Request Price
29/04/202410:00 – 17:00Mon - Fri5 DaysClassroom / OnlinePlaces available Future Dates/Request Price
6/05/202410:00 – 17:00Mon - Fri5 DaysClassroom / OnlinePlaces available Future Dates/Request Price
6/05/202410:00 – 17:00Mon - Fri5 DaysClassroom / OnlinePlaces available Future Dates/Request Price
13/05/202410:00 – 17:00Mon - Fri5 DaysClassroom / OnlinePlaces available Future Dates/Request Price
15/05/202410:00 – 17:00Wed only5 Weeks Classroom / OnlinePlaces available Future Dates/Request Price
20/05/202410:00 – 17:00Mon - Fri5 DaysClassroom / OnlinePlaces available Future Dates/Request Price
25/05/202417:30 – 21:30Sat Only5 Weeks Classroom / OnlinePlaces available Future Dates/Request Price
27/05/202410:00 – 17:00Mon - Fri5 DaysClassroom / OnlinePlaces available Future Dates/Request Price
3/06/202410:00 – 17:00Mon - Fri5 DaysClassroom / OnlinePlaces available Future Dates/Request Price
10/06/202410:00 – 17:00Mon - Fri5 DaysClassroom / OnlinePlaces available Future Dates/Request Price
15/06/202417:30 – 21:30Sat Only5 Weeks Classroom / OnlinePlaces available Future Dates/Request Price
17/06/202410:00 – 17:00Mon - Fri5 DaysClassroom / OnlinePlaces available Future Dates/Request Price
19/06/202410:00 – 17:00Wed only5 Weeks Classroom / OnlinePlaces available Future Dates/Request Price
24/06/202410:00 – 17:00Mon - Fri5 DaysClassroom / OnlinePlaces available Future Dates/Request Price
29/06/202417:30 – 21:30Sat Only5 Weeks Classroom / OnlinePlaces available Future Dates/Request Price
1/07/202410:00 – 18:00Mon - Fri5 DaysClassroom / OnlinePlaces available Future Dates/Request Price
8/07/202410:00 – 18:00Mon - Fri5 DaysClassroom / OnlinePlaces available Future Dates/Request Price
11/07/202417:00 – 21:00Thu5 Weeks Classroom / OnlinePlaces available Future Dates/Request Price
15/07/202410:00 – 18:00Mon - Fri5 Days Classroom / OnlinePlaces available Future Dates/Request Price
17/07/202410:00 – 17:00Wed5 WeeksClassroom / OnlinePlaces available Future Dates/Request Price
22/07/202410:00 – 18:00Mon - Fri5 DaysClassroom / OnlinePlaces available Future Dates/Request Price
29/07/202410:00 – 18:00Mon - Fri5 DaysClassroom / OnlinePlaces available Future Dates/Request Price
1/08/202417:00 – 21:00Thu5 Weeks Classroom / OnlinePlaces available Future Dates/Request Price
08/08/202410:00 – 18:00Mon - Fri5 Days Classroom / OnlinePlaces available Future Dates/Request Price
10/08/202410:00 – 17:00Wed5 Weeks Classroom / OnlinePlaces available Future Dates/Request Price
19/08/202410:00 – 18:00Mon - Fri5 Days Classroom / OnlinePlaces available Future Dates/Request Price
26/08/202410:00 – 18:00Mon - Fri5 Days Classroom / OnlinePlaces available Future Dates/Request Price
29/08/202417:00 – 21:00Thu5 Weeks Classroom / OnlinePlaces available Future Dates/Request Price
2/09/202410:00 – 18:00Mon - Fri5 Days Classroom / OnlinePlaces available Future Dates/Request Price
4/09/202410:00 – 17:00Wed5 Weeks Classroom / OnlinePlaces available Future Dates/Request Price
9/09/202410:00 – 18:00Mon - Fri5 Days Classroom / OnlinePlaces available Future Dates/Request Price
16/09/202410:00 – 18:00Mon - Fri5 Days Classroom / OnlinePlaces available Future Dates/Request Price
19/09/202417:00 – 21:00Thu5 Weeks Classroom / OnlinePlaces available Future Dates/Request Price
23/09/202410:00 – 18:00Mon - Fri5 Days Classroom / OnlinePlaces available Future Dates/Request Price
25/09/202410:00 – 17:00Wed5 Weeks Classroom / OnlinePlaces available Future Dates/Request Price
30/09/202410:00 – 18:00Mon - Fri5 Days Classroom / OnlinePlaces available Future Dates/Request Price
7/10/202410:00 – 18:00Mon - Fri5 Days Classroom / OnlinePlaces available Future Dates/Request Price
11/10/202417:00 – 21:00Thu5 Weeks Classroom / OnlinePlaces available Future Dates/Request Price
14/10/202410:00 – 18:00Mon - Fri5 Days Classroom / OnlinePlaces available Future Dates/Request Price
16/10/202410:00 – 17:00Wed5 Weeks Classroom / OnlinePlaces available Future Dates/Request Price
21/10/202410:00 – 18:00Mon - Fri5 Days Classroom / OnlinePlaces available Future Dates/Request Price
28/10/202410:00 – 18:00Mon - Fri5 Days Classroom / OnlinePlaces available Future Dates/Request Price
31/10/202417:00 – 21:00Thu5 Weeks Classroom / OnlinePlaces available Future Dates/Request Price
4/11/202410:00 – 18:00Mon - Fri5 Days Classroom / OnlinePlaces available Future Dates/Request Price
6/11/202410:00 – 17:00Wed5 Weeks Classroom / OnlinePlaces available Future Dates/Request Price
11/11/202410:00 – 18:00Mon - Fri5 Days Classroom / OnlinePlaces available Future Dates/Request Price
18/11/202410:00 – 18:00Mon - Fri5 Days Classroom / OnlinePlaces available Future Dates/Request Price
21/11/202417:00 – 21:00Thu5 Weeks Classroom / OnlinePlaces available Future Dates/Request Price
25/11/202410:00 – 18:00Mon - Fri5 Days Classroom / OnlinePlaces available Future Dates/Request Price
27/11/202410:00 – 17:00Wed5 Weeks Classroom / OnlinePlaces available Future Dates/Request Price
2/12/202410:00 – 18:00Mon - Fri5 Days Classroom / OnlinePlaces available Future Dates/Request Price
9/12/202410:00 – 18:00Mon - Fri5 Days Classroom / OnlinePlaces available Future Dates/Request Price
12/12/202417:00 – 21:00Thu5 Weeks Classroom / OnlinePlaces available Future Dates/Request Price
16/12/202410:00 – 18:00Mon - Fri5 Days Classroom / OnlinePlaces available Future Dates/Request Price
18/12/202410:00 – 17:00Wed5 Weeks Classroom / OnlinePlaces available Future Dates/Request Price
23/12/202410:00 – 18:00Mon - Fri5 Days Classroom / OnlinePlaces available Future Dates/Request Price
30/12/202410:00 – 18:00Mon - Fri5 Days Classroom / OnlinePlaces available Future Dates/Request Price

Customers
Who We Work With

REQUEST FOR TRAINING


Frequently Asked Questions

Choosing a training center for any IT course is not an easy task. In order to earn extra credential to your IT career that will add values, you can undoubtedly choose London IT Career not only for the proven reputation but also for the opportunity to get highly skilled and experienced trainers. You will be highly motivated to accelerate you IT career in collaboration with London IT Training once you get the references from many other successful IT professionals working at well recognized and reputed IT companies, who had successfully completed IT courses from here.
You can expect to get excellent facilities from London IT Training for your preferred IT course. At London It Training, you will get well designed IT courses with updated resources, which are designed to be taught under the most meritorious trainers, over the UK. You can surely look ahead to get quality training along with desirable facilities that meet the global standard at London IT Training. Here, you can pick your required IT course at your convenient time as London IT Training is offering flexible schedule for the courses. Beside of these, you will get the access to the resources of your courses at anytime from anywhere, as London IT Training has uploaded all the course content online for its candidates.
At London IT Training, you will get both academic and administrative support, whenever you need and as per your requirement. We have a team of highly skilled and professional individuals who are ready to serve you by all means. You will find our trainers available even after the scheduled class time. London IT Training is also arrange group discussion among the participants and the Instructors, that will help you to get more out from the IT course you are attending. London IT Training is also helping the candidates for a better job placement, who have successfully completed the IT courses from here.
London IT Training continuously update the course content as the paradigm and practice of IT industry is changing and evolving more rapidly than ever before. Our courses are well organized, which will help you to get deep inside the subject matter without facing any difficulties. At London IT Training, the instructors are always keeping themselves busy not only to deliver the subject matter in a quality manner but also concerned about any changes that are required for the curriculum of the course.
In terms of recognition, you have nothing to worry about the IT courses offered by London IT Training. We have already earned the reputation as a training institute in the UK by putting our consistent effort on the training that we offered and also by working in collaboration with a significant number of reputed IT companies across the UK, for our Job placement program. IT professionals, who had successfully completed IT courses from London IT Training, are working with an outstanding reputation regarding the skill and experience, at their workplace and this is one of the key competencies of our training center.
Scroll Up