Professional certification in IT Support & Solutions, IT Technical

Data Analyst Bootcamp

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

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Category:
IT Support & Solutions, IT Technical
Duration & Study Mode:
Full time, Part-time, Evening and Weekends, Virtual online
Location:
London, Flexible online
Duration: 5 Days / 5 Weeks

A data analyst bootcamp is a focused and intensive training program designed to teach individuals the skills and knowledge required to excel in the field of data analysis. These programs often cover a broad range of topics related to data analysis and are typically shorter in duration compared to traditional academic programs.

This course is suitable for graduates with degrees in fields such as mathematics, computer science, economics, or statistics who want to enhance their job prospects with practical data analysis skills. This course can also be helpful for public administration users who need data analysis skills to improve public services.

Prerequisites

  • A bachelor’s degree in a related field such as mathematics, computer science, statistics, economics, or a related discipline can be advantageous.
  • A solid understanding of basic mathematics (including algebra) and statistics is important, as data analysis often involves mathematical and statistical concepts.
  • Familiarity with data analysis tools and software, such as Excel, can be an advantage.
  • Some familiarity with programming languages like Python or R can be beneficial.

Course Benefits

  • You will have hands-on training in data analysis tools, techniques, and methodologies.
  • A wide range of topics, including data visualization, statistical analysis, data cleaning, are covered throughout this course, enabling you to have a comprehensive skill set.
  • You will be able to transition into data analysis from other fields or industries.

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

Introduction to Data Analysis:

  • Overview of data analysis concepts, tools, and techniques.
  • The role of data analysts in various industries.

Data Fundamentals:

  • Understanding different data types, data sources, and data formats.
  • Data collection and data cleaning (data preprocessing).

Statistical Analysis:

  • Learning statistical concepts and methods, including descriptive statistics and inferential statistics.
  • Hypothesis testing and confidence intervals.

Data Visualization:

  • Creating effective visualizations to communicate data insights.
  • Using data visualization tools and libraries such as Matplotlib, Seaborn, and ggplot2.

Data Cleaning and Preprocessing:

  • Dealing with missing data and outliers.
  • Data transformation, normalization, and feature engineering.

Database Management and SQL:

  • Understanding relational databases and Structured Query Language (SQL).
  • Querying databases to retrieve and manipulate data.

Data Analysis Tools:

  • Proficiency with data analysis tools like Jupyter Notebooks, RStudio, and integrated development environments (IDEs).
  • Version control using Git.

Exploratory Data Analysis (EDA):

  • Techniques for exploring and summarizing data.
  • Identifying patterns and relationships in data.

Machine Learning Basics:

  • Introduction to machine learning concepts and algorithms.
  • Building and evaluating predictive models, including regression and classification.


When would you like to start?

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
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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

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Saumya Prasad

London IT Training helped me kick start my Networking career with Cisco CCNA. They were very professional and flexible with the class schedules. It helped me plan my time between studies and the hectic schedule of my job.

M. Abdulla

London IT Training helped me kick start my Networking career with Cisco CCNA. They were very professional and flexible with the class schedules. It helped me plan my time between studies and the hectic schedule of my job.

Alberto

I did my CompTIA A+ certification at London IT Training. I liked the teaching style of my instructor.

Mr.Ahmed

I’I can confidently recommend London IT Training to anyone looking to learn networking technologies as it’s an excellent training center. The resources and conduciveness of the learning center is above the mark, I am very thankful to the management and academic staff for their support during my course period.

Liz Maryse

I did a fast track CCNP course in London IT Training, and it was one of the best decisions I made. Lecturers are friendly and are well conversant with the course and are very excellent in delivering the course to the students. Advantages in London IT Training is that its Lecturers are familiar in industrial standard network infrastructure and functions.

I was able to find employment easily due to the reputation of London IT Training centre, even after my completion of the course I was able to consult the lecturers on any issues and continued my training which made me efficient in the job sector.

Mr.Hani

I went to London IT Training to learn CCNA. The overall appeal of the environment was pleasant and suitable for learning, the fees structure was reasonable and the staff where very pleasant and patient in explain all the details of the course structure. On completion of my course they helped me find a suitable employment, readied me for the real time challenges I would face in my job which made me an efficient worker.

The center had students from different part of the Country and World, which made the place appealing. As considering the training, I was amazed how the academic staff had an in depth knowledge of the subjects and delivered them easily to students for easy understanding. They coached us excellently throughout our course period.

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