Data Analytics Bootcamp

Data Analytics Bootcamp

Categories: Data Analytics
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About Course

The course will provide you with the knowledge, skills, and experience to get a job as a data analyst – which requires a mix of software engineering, statistical knowledge, good communication skills and the ability to apply these skills in new and challenging domains.

Description

Over 12 intensive weeks you’ll learn how to gather data, apply statistical analysis to answer business questions, and to make your data insights actionable. Our training ensures not only job readiness for today’s competitive market, but the aptitude and skills to keep learning, stay relevant in the industry in the years to come and realise your potential using data and the next-generation data technologies.

After successful completion of this bootcamp Data Whizz Academy will help to connect you with our partner companies for employment opportunities so that you can start applying these acquired skills on live projects. 

How will I learn

In 12-week intensive course you will learn practical skills that integrates rich, interactive media such as videos, screenshots and infographics, as well as traditional study notes. Learning will be collaborative through discussion forums, quizzes, assignments and through portfolio of projects.

Bootcamp Key Facts

  • Next Course Start Date: Tuesday, 6 August 2024
  • Course Duration: 16 Weeks (8 hrs per week)
  • Timings: Part-Time (Tuesday & Thursday – 5pm to 9pm)
  • Mode of Delivery: Blended learning – Combination of online & classroom based
  • Course Contents & Practical Work: 240 Hours
  • Class size: Short class sizes (maximum 15)
  • Tutors: Industry experienced trainers
  • Course Material: Prepared with inputs from top employers
  • Placement: On successful completion of the course Data Whizz Academy will help to connect participants with partner companies for permanent employment
  • Employment rate: 95% success rate in finding jobs within 6 months of training

Tuition & Financing

  • Normal Price: £5,000 (unless discounted)
  • Payment Plan 1: Upfront full Payment (10% discount) – amount paid = £4,500
  • Payment Plan 2: Upfront payment – £1,500 followed by 4 equal £875 monthly payments

Certification

Upon successful completion of the program, you will receive a certificate of competence. The learnings serve as a powerful credential in supporting your career capabilities.

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What Will You Learn?

  • Advanced Excel
  • Structured Query Language (SQL)
  • Essential statistics for data analytics
  • Exploring data with python
  • Certification in Tableau or Power BI
  • Data storytelling
  • 2 capstone projects
  • Employability skills – CV preparation, mock interviews and mentoring

Material Includes

  • All material necessary for the successful completion of this course.

Requirements

  • - 18 years plus
  • - ‘A’ Levels/ BTEC or above (Bachelor’s or Master’s Degree)
  • - Eligible to work in the UK
  • - Be flexible to work anywhere in the UK

Audience

  • Anyone interested in upskilling or entering data analytics profession
  • Anyone who has the willingness and enthusiasm to learn new skills
  • People from under-representative groups in technology, e.g. Females and BME
  • Army veterans
  • Employers interested in upskilling their employees in data analytics

Course Content

Pre-Course Material
1. Students are expected to go through this materials before the start of the course. 2. Zoom link is provided, which will be used for all data analytics bootcamp modules.

  • Zoom Meeting
  • Pre-Course contents to review
    00:00

Module 1 – Data Analytics for Business – 6/08/2024
What is data analytics and why it matters? Opportunities & challenges. Consider distinct analytical techniques and use cases to solve real-life business problems.

Module 2 – Advanced Excel & the art of presentation – 08/08/2024
Practice using Excel to conduct basic data cleaning, aggregation, analysis, and visualization. • The Value of Data and Data Narratives • Excel Fundamentals • Data Referencing • Data Aggregation • Data Visualisation in Excel • Statistics in Excel

Module 3 – Essential statistics for data analytics
Learn about the fundamentals of probability theory and principles, such as combinations and permutations. Explore statistical distribution, creating samples when distributions are known and running AB testing. This includes: • Introduction to statistics for data analysts • Combinatorics • Probability Theory • Statistical Distributions • Bayes Theorem • Sampling Methods • AB Testing • Linear Regression • Model Evaluation

Module 4 – Query and organising data with Python
Develop your understanding of Python syntax, structure, programming concepts. • Introduction to the Python Ecosystem • Introductory Python • Introductory Pandas • Accessing Data through APIs • Web Scraping

Module 5 – Data exploration with Tableau
Leverage this technology to visualise and map data, and connect data across Excel, SQL, and other connectors. • Fundamentals of the visualisation tool • Visualisation and Text Manipulation • Using data connectors • Calculations and Analysis • Dashboard and Story boards

Module 6 – Query and organising data with SQL
Use SQL to conduct advanced data querying, cleaning, and aggregation. • Foundations of Databases and SQL • Combining Data in SQL • Cleaning Data and Creating Multiple JOINs in SQL • Using Logic in SQL • Subqueries • Applying SQL Functions

Module 7 – Data exploration with Python
Learn to join, manipulate and summarise datasets using Pandas, visualise data on a variety of chart types with Seaborn, and understand which chart types are most appropriate for a given dataset. • Data Processing with Pandas • NumPy • Matplotlib/ Seaborn for Data Visualization • Git/Github • Interactive Visualisation with Bokeh • Web Scraping • Working with JSON in Python • Querying Web APIs

Module 8 – Storytelling with data
Learn the art of communicating data insights to technical and non-technical personnel plus story telling with data. • Confident with your analysis • Embracing ambiguity • Cognitive empathy • Scepticism • Curiosity • Managing both up and down • Being an effective data translator • Diplomacy • Persuasion

Module 9 – 2 Capstone Projects
Work on individual case study data analytics projects incorporating all the learnings in this course. These two final projects provide an in-depth opportunity for you to demonstrate your learning accomplishments and get a feel for what working on a large-scale data analytics project is really like. The outcomes of this will be presented to the board.

Earn a certificate

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  • Price
    Original price was: £5,000.00.Current price is: £2,499.00.
  • Course Level Intermediate
  • Duration
    240 hours
  • 1
£2,499.00 £5,000.00

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