ELEVATE YOUR SKILLS WITH DATA ANALYTICS
It's time to upskill and make an impact in your career. Discover the power of data with our comprehensive Google Data Analytics Professional Certificate course.
Through our meticulously crafted course curriculum...
YOU CAN TRANSFORM INTO A PROFICIENT DATA ANALYST!
Our comprehensive course, in partnership with Coursera, combines theoretical content, mentor-guided tasks, homework reviews, and team-based assignments. This fusion creates a rich, holistic learning experience, ensuring a thorough understanding of data analytics.
GET EDUCATED
🌟 Exciting News! Our Google Data Analytics Course (with mentor-led sessions) proudly received a quality mark in December 2023. This recognition affirms our commitment to providing top-notch education and practical experience in the field of data analytics. 🌟
Ettevõtluskeskus OÜ on Eesti Töötukassa koolituskaardi koostööpartner
INTRODUCING
GOOGLE DATA ANALYTICS
PROFESSIONAL CERTIFICATE
(with mentoring sessions)
This comprehensive online course will guide you through all the vital steps and tools for becoming a successful data analyst:
- Understand and interpret data
- Make data-driven decisions
- Prepare and clean data for exploration
- Analyze data to answer critical questions
- Visualize data and share insights using various tools
- Program with R
EMBRACE THE WORLD OF DATA
"There's a high demand for skilled data analysts around the world."
ENROLL NOW
After just two months, you'll be ready to step into the world of data analytic:
- 75% of certificate graduates report a positive career outcome (e.g., new job, promotion, or raise) within six months of completion
- In addition to expert training and hands-on projects, you'll complete a case study that you can share with potential employers to showcase your new skill set.
- Have specific skills that top employers are hiring for right now.
INTRODUCING
Google Data Analytics Professional Certificate (with mentoring sessions)
Our comprehensive data analytics course takes beginners on a transformative journey to becoming a professional data analyst.
Real value of the course lies in the abundant practical exercises, guided by mentors, and the opportunity to engage in collaborative group projects.
Each course is designed to be interactive and engaging, offering video materials, quizzes, reading materials, online discussions, and weekly challenges to enhance your learning experience.
Prepare for a career in Data Analytics:
- Receive professional-level training from Google
- Demonstrate your proficiency in portfolio-ready projects
- Earn an employer-recognized certificate from Google
- Qualify for in-demand job titles: Data Analyst, Junior Data Analyst, Associate Data Analyst
COURSE STRUCTURE
Our program comprises eight tailored courses (284 hours)
+ practical work under the guidance of a mentor (36 hours) :
COURSE 1
Foundations for Data-Driven Decision Making
This is the first course in the Google Data Analytics Certificate. These courses will equip you with the skills you need to apply to introductory-level data analyst jobs:
- Define and explain key concepts involved in data analytics including data, data analysis, and data ecosystem
- Conduct an analytical thinking self assessment giving specific examples of the application of analytical thinking
- Discuss the role of spreadsheets, query languages, and data visualization tools in data analytics
- Describe the role of a data analyst with specific reference to jobs/positions
COURSE 2
Ask Questions to Make Data-Driven Decisions
These courses will equip you with the skills needed to apply to introductory-level data analyst jobs:
- Explain how each step of the problem-solving road map contributes to common analysis scenarios
- Discuss the use of data in the decision-making process
- Demonstrate the use of spreadsheets to complete basic tasks of the data analyst including entering and organizing data
- Describe the key ideas associated with structured thinking
MODULE 3
Prepare Data for Exploration
These courses will equip you with the skills needed to apply to introductory-level data analyst jobs:
- Explain factors to consider when making decisions about data collection
- Discuss the difference between biased and unbiased data
- Describe databases with references to their functions and components
- Describe best practices for organizing data
MODULE 4
Process Data from Dirty to Clean
These courses will equip you with the skills needed to apply to introductory-level data analyst jobs:
- Define data integrity with reference to types of integrity and risk to data integrity
- Apply basic SQL functions for use in cleaning string variables in a database
- Develop basic SQL queries for use on databases
- Describe the process involved in verifying the results of cleaning data
MODULE 5
Analyze Data to Answer Questions
These courses will equip you with the skills needed to apply to introductory-level data analyst jobs:
- Discuss the importance of organizing your data before analysis with references to sorts and filters
- Demonstrate an understanding of what is involved in the conversion and formatting of data
- Apply the use of functions and syntax to create SQL queries for combining data from multiple database tables
- Describe the use of functions to conduct basic calculations on data in spreadsheets
MODULE 6
Share Data Through the Art of Visualization
These courses will equip you with the skills needed to apply to introductory-level data analyst jobs:
- Describe the use of data visualizations to talk about data and the results of data analysis
- Identify Tableau as a data visualization tool and understand its uses
- Explain what data driven stories are including reference to their importance and their attributes
- Explain principles and practices associated with effective presentations
MODULE 7
Data Analysis with R Programming
These courses will equip you with the skills needed to apply to introductory-level data analyst jobs:
- Describe the R programming language and its programming environment
- Explain the fundamental concepts associated with programming in R including functions, variables, data types, pipes, and vectors
- Describe the options for generating visualizations in R
- Demonstrate an understanding of the basic formatting R Markdown to create structure and emphasize content
MODULE 8
Google Data Analytics Capstone: Complete a Case Study
These courses will equip you with the skills needed to apply to introductory-level data analyst jobs:
- Differentiate between a capstone, case study, and a portfolio
- Identify the key features and attributes of a completed case study
- Apply the practices and procedures associated with the data analysis process to a given set of data
- Discuss the use of case studies/portfolios when communicating with recruiters and potential employers
This Bootcamp Is For You If...
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You're a beginner or a professional looking for a career transition and want an accessible entry point into the world of data analytics.
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You desire a comprehensive curriculum that covers all aspects of data analytics, including data understanding, decision-making, preparation, cleaning, and hands-on practice with R programming and data visualization.
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You value learning from experienced data professionals who bring real-world insights to the virtual classroom.
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You're seeking a practical and industry-relevant program that enhances your employability in the data analytics field.
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You're motivated by additional learning opportunities, as timely completion of the course provides bonus access to advanced courses on Coursera.
- You're ready for real-world challenges, equipped to apply your skills on practical assignments that reflect industry tasks.
NICE TO MEET YOU
LEARN FROM EXPERIENCED DATA PROFESSIONALS
I'm Renee Kooli
MENTOR
Renee is a strategic thinker with 14+ years of data and insights experience with special focus on interpreting complex data and insights into credible, actionable, well-designed narratives that support and drive data-driven decisions.
He spent the majority of his career in Microsoft and Skype, leveraging one of the worlds largest data sets and providing insights to the executive team.
He continuously enhances her skills through training and presentations, including:
- A course at EBS on Executive Data Strategy development and teaching within the context of a master's degree program.
- Advising beginner and advanced analytics development program training.
- Various conference presentations.
As a data strategist in Helmes, he changed the way how his clients viewed their data and data assets to gain maximum market advantage.
I'm Jelena Laudver
TRAINER
A Human Resources expert with nearly 20 years of experience in international medium-sized and large companies.
Obtained a Master's degree in Business Administration from Tallinn University of Technology in 2017.
Over the years, she has worked as a strategic HR partner in various international companies, collaborating with leading and supportive teams to help achieve the company's goals.
In addition, she provides training for middle managers, HR specialists, and recruitment professionals, along with offering career counselling to boost people's confidence in their career paths.
She believes in doing the right things, the power of positive thinking, and lifelong learning.
I'm Merilin Paas-Loeza
TRAINER
Merilin is an experienced Data Professional, having worked as an analyst in well-known Estonian companies like Bolt and OlyBet.
Merilin has BA in Pedagogy and a MA in Educational Sciences from Tallinn University, and a great passion for empowering adult learners seeking to expand their skill set to transition into a new career in data analytics. That's how Merilin herself got into data, so she has plenty of experience to share!
Her journey reflects a commitment to driving innovation, fostering collaboration, and creating a unique learning experience. Join her to explore the limitless possibilities that data holds, unlocking its potential to shape informed decisions and fuel success.
I'm Indrek Andema
PROGRAM MANAGER
He has over 7 years of experience in the field of continuing education and 15 years in the IT field.
He started organising computer training at Gensi Koolitus in 1997, initially as a sales representative and later as a managing director. After that, he continued as a sales manager for computer software training at USEsoft.
Worked in training companies: Mercuri International, MetaProfit. In the latter, he also served as an assistant trainer.
Experience in IT companies: Kungla Dialoog, Business Software Partners, BCS Itera, Konica Minolta, Andmevara AS.
He became more closely involved with data analytics topics at Andmevara AS (Novian Systems), where he led Microsoft PowerPlatform development activities in Estonia.
He obtained his higher education at Tallinn University of Technology in the field of business administration. In addition, he furthered his education in the prerequisites program for a psychology master's degree at the University of Tartu from 2012 to 2015.
In 2017, he completed the Experience advisor Specialist training and has been a member of the Chamber of experienced advisors since 2020.
In 2023, he completed the "Tripod Test Training for HR Managers and Recruiters" and tests and counsels those interested in IT courses.
These data professionals appear in pre-recorded video lectures
- Tony - Program Manager at Google and a data analyst. He serves as an overall guide to the Google Data Analytics Certificate.
- Angie- Program Manager of Engineering at Google. She shares her passion for cleaning and understanding data.
- Alex- Research Scientist at Google. He focuses on the impacts of artificial intelligence on society and users.
- Lilah Jones- Part of Google's cloud team. She leads a team dedicated to assisting customers in their transition to cloud-based solutions.
- Evan- Learning Portfolio Manager at Google. He integrates various technologies that affect big data into the training courses.
- Ximena- Financial Analyst at Google. She helps learners understand how to ask the right questions about data and projects.
- Hallie- Analytical Lead at Google. She guides learners on how to prepare data for analysis.
- Sally- Measurement and Analytical Lead at Google. She leads learners through the process of cleaning and processing data.
- Ayanna- Global Insights Manager at Google. She helps learners understand how to collect, transform, and organize data for analysis.
- Kevin- Director of Analytics at Google. He guides learners on how to plan, create, and present effective data visualizations.
- Carrie- Google team member who teaches about the programming language R, and its applications in data analytics.
- Rishie- Global Analytics Skills Curriculum Manager at Google. He assists learners in synthesizing all the program's learnings into a case study.
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
- Felipe M.
Learner since 2018
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
- Jennifer J.
Learner since 2020
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
- Larry W.
Learner since 2021
Course
2500€
including VAT
GET STARTED TODAY!
Google Data Analytics Professional Certificate (with mentoring sessions)
Payment by invoice
Kindly provide your billing information in the comment field during registration. An invoice will be issued within 3 business days after registration for the training.
Before registering for the training, we kindly ask you to familiarize yourself with the curriculum of and terms of the training organization.
Ettevõtluskeskus OÜ is an authorized partner of Eesti Töötukassa, the Unemployment Office.
By registering for the course, you acknowledge and agree to the terms of use regarding the personal data provided to the Entrepreneurship Center (Ettevõtluskeskus OÜ).
Don't wait, transform your career with data analytics today!
Remember, your journey to a data analytics career starts with a single step. Take that step today by enrolling in our Google Data Analytics Professional Certificate course.