Online Course – Google Advanced Data Analytics Certified Professional Certificate

Learn essential skills like statistical analysis, Python, regression modeling, and machine learning in less than 6 months. Sign up today and get free access to Google AI Essentials.

Suggested by: Coursera (What is Coursera?)

Professional Certificate

Advanced

No prior knowledge required

Time to complete the course

7-day free trial

No unnecessary risks

Skills you will acquire in the course

  • Advanced skills in data analysis
  • Manipulation of large data sets
  • Using advanced analytics including machine learning
  • Building predictive models
  • Experimental design
  • Working with Jupyter Notebook
  • Programming in Python
  • Using Tableau
  • Carrying out practical projects in the field of data analysis
  • Preparation for Senior Data Analyst and Junior Data Scientist positions
  • Developing technical skills required for an advanced role
  • Creating a final project to share with potential employers

What you will learn in the course

Courses for which the course is suitable

  • Senior Data Analyst
  • Junior Data Scientist
  • Data Science Analyst
  • Advanced Data Professionals
  • Jobs in Advanced Data Analytics
  • Jobs at Google
  • Jobs at Deloitte
  • Jobs at Target
  • Jobs at Verizon
## Professional Certificate – 7-Course Series Get professional training in Google Design and take the next step in your career with advanced data analytics skills. There are over 144,000 open positions in advanced data analytics, and the average salary for entry-level positions is $118,000.¹ **Advanced Data Professionals** are responsible for collecting, exploring, and interpreting very large amounts of data. These jobs require manipulating large data sets and using advanced analytics including machine learning, predictive modeling, and experimental design. This certificate builds on your data analytics skills and experience to take your career to the next level. It is designed for [Google Data Analytics Certificate](https://www.coursera.org/professional-certificates/google-data-analytics?utm_source=gg&utm_medium=sem&utm_campaign=15-GoogleDataAnalytics-US&utm_content=B2C&campaignid=12504215975&adgroupid=122709142687&device=c&keyword=coursera %20data% 20analytics%20course&matchtype=b&network=g&devicemodel=&adpostion=&creativeid=504570191907&hide_mobile_promo&gclid=CjwKCAjwpqCZBhAbEiwAa7pXeXTXNzMhnelPXtCkGi7HQhR7Z-mtcWveZLYX8eqr9mxb1T_NQvmFjhoCHdsQAvD_BwE) graduates or people with equivalent experience in Data Analytics. Expand your knowledge with hands-on projects inspired by Jupyter Notebook, Python, and Tableau. After seven courses, you’ll be ready for positions like Senior Data Analyst, Junior Data Scientist, Data Science Analyst, and more. With a certificate program that takes less than 10 hours per week, the course can be completed in less than six months. Upon completion, you can apply for jobs at Google and over 150 U.S. employers, including Deloitte, Target, and Verizon. **75% of graduates report a positive career outcome (e.g., new job, promotion, or raise) within six months of completion**² ¹Lightcast™ U.S. Job Openings (Past 12 Months: 1/1/2022 – 12/31/2022) ²Based on the program’s alumni survey, U.S. 2022 ### Hands-on Learning Project The program includes over 200 hours of instruction and hundreds of hands-on assessments, which will put you through real-world scenarios in advanced data analytics that are critical to workplace success. The content is highly interactive and developed exclusively by Googlers with decades of experience in advanced data analytics and data science. Through a mix of videos, assessments, and hands-on labs, you’ll be exposed to data analytics tools and platforms Advanced and important technical skills required for an advanced role. **Platforms and tools you will learn include:** Jupyter Notebook, Python, Tableau In addition to professional training and hands-on projects, you will complete a capstone project that can be shared with potential employers to showcase your new skills. Learn tangible skills that top employers are currently looking for in employees.

Details of the courses that make up the specialization

Data Science Fundamentals

Course 1

  • 25 hours
  • 4.7

Course Details

What you’ll learn:

  • Understand common careers and industries that use advanced data analytics
  • Explore the impact that data analysis can have on decision-making
  • Explain how data professionals maintain data privacy and ethics
  • Develop a project plan taking into account the roles and responsibilities of team members

Skills you will gain:

  • Regression models
  • Python programming
  • Statistical analysis
  • Effective communication
  • Predictive models

Getting started with Python

Course 2

  • 30 hours
  • 4.8

Course Details

What you’ll learn:

  • Explain how data professionals use Python
  • Explore basic Python building blocks, including syntax and semantics
  • Understand loops, control commands, and string manipulation
  • Use data structures to store and organize data

Skills you will gain:

  • Python programming
  • Jupiter Notebook
  • Coding
  • Using comments to improve code readability
  • Data visualization

Beyond the numbers: translating data into insights

Course 3

  • 32 hours
  • 4.7

Course Details

What you’ll learn:

  • Apply the exploratory data analysis (EDA) process
  • Explore the benefits of data structuring and cleansing
  • Explore raw data using Python
  • Create data visualizations with Tableau

Skills you will gain:

  • project management
  • Sharing insights with stakeholders
  • Cross-functional team dynamics
  • Effective questions
  • Effective written communication

The power of statistics

Course 4

  • 37 hours
  • 4.8

Course Details

What you’ll learn:

  • Explore and summarize a data set
  • Use probability distributions to simulate data
  • Conduct hypothesis testing to identify insights about data
  • Conduct statistical analyses using Python

Skills you will gain:

  • Data Analytics
  • Python programming
  • Machine learning
  • Preparing for technical interviews
  • Administrative summaries

Regression Analysis: Simplify Complex Relationships Between Data

Course 5

  • 32 hours
  • 4.7

Course Details

What you’ll learn:

  • Explore relationships in data sets
  • Identify regression model assumptions
  • Perform linear and logarithmic regression using Python
  • Practice model evaluation and interpretation

Skills you will gain:

  • Probability distribution
  • Python programming
  • Statistical analysis
  • Effective communication
  • Statistical hypothesis testing

The foundation and components of machine learning

Course 6

  • 36 hours
  • 4.8

Course Details

What you’ll learn:

  • Identify characteristics of different types of machine learning
  • Prepare data for machine learning models
  • Build and evaluate supervised and unsupervised models using Python
  • Demonstrate choosing the right model and metric for a machine learning algorithm

Skills you will gain:

  • Python programming
  • Machine learning
  • Effective communication
  • Predictive models

Google Advanced Data Analysis Final Project

Course 7

  • 9 hours
  • 4.9

Course Details

What you’ll learn:

  • Examine data to identify patterns and trends
  • Build models using machine learning techniques
  • Create data visualizations
  • Explore career resources

Skills you will gain:

  • Python programming
  • Effective communication
  • Tableau software
  • Data visualization
  • Exploratory data analysis