Get professional training designed by Google and prepare for a new career in the high-growth field of data analytics, no experience required.
Data analytics is the collection, transformation, and organization of data in order to draw conclusions, make predictions, and drive informed decision making.
Over 8 courses, gain in-demand skills that prepare you for an entry-level job. You’ll learn from Google employees whose foundations in data analytics served as launchpads for their own careers. At under 10 hours per week, you can complete the certificate in less than 6 months.
You’ll prepare yourself for jobs that include junior or associate data analyst, database administrator, and more.
Check out all Google Career Certificates here. Now INR 1086/month
The certificate can be completed in less than 6 months of part time study.
This program includes over 180 hours of instruction and hundreds of practice-based assessments, which will help you simulate real-world data analytics scenarios that are critical for success in the workplace. The content is highly interactive and exclusively developed by Google employees with decades of experience in data analytics. Through a mix of videos, assessments, and hands-on labs, you’ll get introduced to analysis tools and platforms and key analytical skills required for an entry-level job.
Skills you’ll gain will include: Data cleaning, problem solving, critical thinking, data ethics, and data visualization
Platforms and tools you will learn include: Presentations, Spreadsheets, SQL, Tableau and R Programming
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. Learn concrete skills that top employers are hiring for right now.
Become a Data Analyst | Provided by: Linkedin
[Link to course]
Data analysts examine information using data analysis tools and help their teams develop insights and business strategies. You’ll need skills in math, statistics, communications, and working with tools designed to do data analytics and data visualization. Explore this high-demand career.
Learn the technical skills for data analyst career paths.
Develop your competencies in high-demand analysis tools.
Build communication, teamwork, and problem-solving skills.
Excel Skills for Data Analytics and Visualization Specialization | Provided by: Coursera
[Link to course]
As data becomes the modern currency, so the ability to quickly and accurately analyse data has become of paramount importance. Therefore, data analytics and visualization are two of the most sought after skills for high paying jobs with strong future growth prospects. According to an IBM report, the Excel tools for data analytics and visualization are among the top 10 competencies projected to show double-digit growth in their demand. This course will help you develop your analytical and visualization skills so that you not only improve your current work performance but also expand your future job prospects. For those in business and data analysis who want to master advanced Excel and beginner Power BI
, that will add an asset to your employability portfolio.
Upon completing this specialization, you will be able to bring data to life using advanced Excel functions, creative visualizations, and powerful automation features. These courses will equip you with a comprehensive set of tools for transforming, linking, and analysing data. You will master a broad range of charts and create stunning interactive dashboards. Finally, you will explore a new dimension in Excel with PowerPivot, Get and Transform, and DAX. Harnessing the power of an underlying database engine, we will remove the 1,048,576 row limitation, completely automate data transformation, create data models to effectively link data, and open the gateway to Power Business Intelligence.
Data Analyst in R | Provided by: Dataquest
[Link to course]
This is best for beginners who are more interested in the programming side of data analytics, as opposed to a spreadsheet software, like Excel.
Dataquest is one of the popular interactive data science learning platforms. Despite not having videos for each topic, their teaching methodology and project-based learning style are very effective.
The Data Analyst with R path, which also has a Python version, brings learners with no programming experience through the entire analytics pipeline using R and SQL.
Python is often the first choice for working with data, but if your goal is to become proficient in analytics, R plays more nicely with data and statistics out of the box. The language's straightforwardness lets you be productive with data faster than Python in many cases.
Business and Data Analysis with SQL | Provided by: Skillshare
[Link to course]
This is best for those who are more interested in learning and applying SQL to analytics, or anyone wishing to expand past spreadsheets
Geoff Devitt, the instructor for this course, is a 20+ year veteran of the Big Data industry and created this Skillshare class to share what he's learned building projects and analyzing data over his career.
Unlike other courses mentioned in this list, this course focuses solely on solving analytics problems using Structured Query Language (SQL), a programming language built to interface with databases. Since SQL runs many businesses, it was one of the most highly requested skills mentioned in job posts during my research for this article.
Once you've finished this course, you should be reasonably comfortable with SQL and can start working on your portfolio projects.
