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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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 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?

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
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