Data Analytics (E-learning)
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Data Analytics Online Training Course
- Live classes with experts from Nike, Electronic Arts, Mastercard
- 1:1 career coaching to help you land a job
- Real-world Internship with a Tech Company
Course Ongoing
Contact a Career Advisor to enrol
8 Months
Coursework and Mentorship, internship and career coaching
No Coding Required
Just basic math and computer skills, plus English proficiency
Launch a Career as a Data Analyst
Data Analysts help businesses make informed decisions by collecting and analysing information to provide valuable insights. Data analysts are in demand across various industries, including retail, banking, healthcare, tech companies, marketing, consulting and more.
- Top 10: Most in-demand skills in 2023 according to LinkedIn
- $80-121K: Data Analytics average salary range
- 21K: Data analytics openings as of today (Indeed.com)
Who is this Data Analytics Course For?
Complete Beginners
Learn in-demand skills from scratch with a mentor’s support. Gain real-world experience during your internship to land your first job in tech.
Professionals with a background in data or analysis
Are you good with numbers? Develop your skills, create a project portfolio and ultimately increase your income
Professionals with Tech Experience
Do you work in tech and love data but feel the need to adjust your path? Our bootcamp is perfect for relaunching your career and increasing your salary
Delivery Method
Online (E-learning)
Step-by-step Game Plan
Attend Live Classes
Join expert-led live lessons and access recordings for later viewing. Practice new skills with hands-on assignments and tests
1:1 Tech Mentorship
Receive personalised feedback on your tasks and projects. Join 1:1 sessions and group calls with your tech mentor
Start Your Internship
Gain real work experience you can showcase on your resume and discuss in your job interviews. We integrate your internship into the program!
1:1 Career Coaching
Improve your resume and LinkedIn profile and prepare for job interviews
Job Search Support
Accelerate your job search with AI-enhanced job matching to get the most relevant job openings daily
You’re Hired!
Our graduates earn an average starting salary up to $121K per year within a few months of graduation
What You Will Learn
Modules
Data Fundamentals: FREE First Lesson
- How to identify business goals and align data analysis with them.
- Google Sheets for data analysis: how to analyze a dataset using Google Sheets functions, charts, and pivot tables.
- Key business metrics and understanding how they are used to measure success.
Database and SQL
- The importance of databases and why Google Sheets is not enough.
- SQL (Structured Query Language) and advanced SQL functions.
- Creating SQL diagrams to visualise database schema.
- Normalisation and denormalisation techniques for data modelling.
Data Processing with Python
- The Python programming language and its advantages for data processing.
- The basic syntax and data types in Python.
- How to retrieve data from various sources and analyze data granularity.
- Techniques for data cleaning and preprocessing.
- How to convert data using Python libraries.
Visualisations with Tableau
- Principles of effective visualization.
- Interactivity and different types of visualizations such as static, interactive, and geospatial.
- Introduction to Tableau, a popular data visualization tool.
- How to create charts and dashboards.
Data Analysis
- The basics of exploratory data analysis (EDA).
- How to understand and visualize data spread.
- Key statistical concepts such as confidence intervals and hypothesis testing.
- How to perform A/B testing.
- Python for inferential statistics and EDA.
Tableau Dashboard Visualisation and Presentation
- Advanced Tableau functionality and storytelling with data principles.
- How to build a data story in Tableau and derive insights from visualisations.
- Working on a final project that includes milestones of data analytics.
AI for Data Analysis
- Debugging and code review using Python; implementing basic tasks with chatGPT in Python.
- Statistical and exploratory data analysis using Python.
- AI guide: working with textual materials, preparing reports, summaries, and storytelling for presentations.
Real-world Internship
Solve a Case Study from a Company
You'll get a business task for data analysis that you will solve during your remote, part-time internship that include conducting a demo. At the end of the internship, you will have a case study from a company to add to your portfolio.
Get FEEDBACK from a Team Lead
You will be working under the mentorship of a team lead - an experienced analyst who will review your results and give FEEDBACK
Strengthen your CV with Real Experience
You will stand out amongst other candidates with work experience on your resume and will feel more confident thanks to your internship experience with a company
1:1 Career Coaching
Land your dream job with Careerist. Your coach will provide the support and motivation you need to shine in your job search.
One Year of Unlimited* 1:1 Career Coaching
- Your personal job success companion
Resume and LinkedIn Optimisation
- Elevate your first impression
Job Interview Preparation
- Ace your next interview
Job Search Guidance
- Get support even after securing a job
Personalised Job Matching
- Find jobs fast with tailored matches
Job Search Tracking
- Track applications for a quicker search
Visit the Careerist Website
Visit the Careerist website for detailed course pricing, more information or to book this course.
Related Content
Every day, Careerist help people change their lives. Their team’s dedication to student success has resulted in unprecedented achievements. Their instructors, mentors, community managers and staff all share a key mission: empowering you to launch and grow your tech career. No matter your background, they are dedicated to guiding your journey from the very beginning to even after you land your dream job.
For accredited courses a certificate will be sent directly to you from the appropriate awarding body.
For short courses a completion certificate is available at the end of the course.
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E-learning and Online (Instructor-led) training is more flexible, efficient, and cost-effective.
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