Become Data-Driven Faster with DataCamp’s Analyst Takeover
Looking for a clear (and fast) data upskilling path? Discover DataCamp’s hands-on analyst tracks and certification program—no prior analyst experience required.
Become Data-Driven Faster with DataCamp’s Analyst Takeover
This October, DataCamp is spotlighting how analyst skills transform careers and organizations. Featuring top courses, tracks and certifications for all levels, expect podcasts, webinars, and more from industry leaders—breaking down how the latest in Tableau, R, Power BI, Spreadsheets, and SQL.
The time to invest in analyst skills is now
Only 26% of data leaders claim their organization is “data-driven”, whilst 88% of organizations those who have invested in organization-wide data upskilling programs have exceeded business goals. (Deloitte, 2022)
To realize the full value of their data, employees need to adopt modern data tooling, enable data access, and help democratize data skills for everyone.
Looking for a clear (and fast) data upskilling path? Discover DataCamp’s hands-on analyst tracks and certification program—no prior analyst experience required.
The majority of the introductory courses are completely free—allowing you to get a flavor of the technology and track before committing to a subscription.
CAREER TRACK | Data Analyst in Tableau
Across seven courses and two case studies, go from zero Tableau experience to performing intermediate data analysis tasks in Tableau and will prepare you for the Tableau Data Analyst certification.
Starting with the free Introduction to Tableau course, you’ll start using Tableau in just two hours. Once you get going, you’ll quickly move through the gears, with other free courses such as Creating Dashboards in Tableau—where you’ll learn how to increase your impact on business performance with Tableau dashboards—and Connecting Data in Tableau—learning Tableau’s different data sources and how to prepare the data for a smooth analysis.
Once you have the basics down, the track will take you through to forming Calculations in Tableau, where you’ll learn how to use functions for your Tableau calculations and when you should use them. The track concludes with Statistical Techniques in Tableau, where you can take your reporting skills to the next level with Tableau’s built-in statistical functions.
CAREER TRACK | Data Analyst with Python
Gain the career-building Python skills you need to succeed as a data analyst—no coding experience required.
In this track, you’ll learn how to import, clean, manipulate, and visualize data—all integral skills for any aspiring data professional or researcher. Through interactive exercises, you’ll get hands-on with popular Python libraries, including pandas, NumPy, Seaborn, and more. You’ll gain experience working with real-world datasets, including data from Walmart sales and global food consumption, before moving on to learn the statistics skills you'll need to perform hypothesis testing.
Broken down into nine courses across 36 hours, you’ll start with the basics before moving up to more advanced concepts. Such as the free Introduction to Data Science in Python—where you’ll learn how to effectively analyze and visualize your data in just four hours. Before moving through the gears onto more complex topics like Data Manipulation with Pandas, where you’ll use the world’s most popular Python data science package to manipulate data and calculate summary statistics.
The perfect track for anyone looking to begin their analyst journey in the world’s most popular BI tool.
CAREER TRACK | Data Analyst in SQL
The perfect starting point for learning SQL with no prior experience.
This 39-hour track covers the fundamentals of database design. As you complete the 11 courses and one project, you'll learn how to:
- Write basic SQL queries
- Group and aggregate data to produce summary statistics
- Join tables and apply filters and sub-queries
- Write functions to explore and manipulate data
From the entry-level (and free) courses such as Understanding Data Visualization—an introduction to data visualization with no coding involved—and Introduction to SQL—where you’ll how to structure and query relational databases using SQL in just two hours.
Moving through to Joining Data in SQL, where you’ll learn how to join tables together, apply relational set theory, and work with subqueries. Before taking real-life projects such as When Was the Golden Age of Video Games? where you'll analyze video game criticism and user scores as well as sales data for the top 400 video games released since 1977—using joins and set theory to discover the best years for video.
Master SQL and never look back.
CAREER TRACK | Data Analyst in Power BI
A hugely popular track that upskills employees and people in the world’s most popular business intelligence tool. And, requires no previous experience.
Across 18 courses taking roughly 51 hours, come out the other side competent in one of the world’s most powerful and widely business intelligence tools. You’ll learn how to import, clean, manipulate, and visualize data in Power BI—all skills that drive innovation for businesses and are crucial for any aspiring data professional.
The track kicks off with DataCamp’s Introduction to Power BI, where any learner will be able to gain a full understanding of what Power BI is and how it could benefit a career, regardless of any previous experience. Moving forwards, Data Visualization in Power BI offers the perfect introduction to create insightful visualizations. You’ll discover how to create a plethora of visualizations such as scatter plots, tornado charts, gauges, and how to visualize everything without overwhelming your audience.
Once you have the basics nailed, they offer case study projects to sharpen your skills further such as Case Study: Analyzing Customer Churn in Power BI—where you’ll investigate a dataset from a fictitious company called Databel in Power BI, and need to figure out why customers are churning.
Everything someone could need to understand and start using Power BI in their professional lives.
Certifications:
When you’re ready for the next step, DataCamp’s Certification Program validates new data skills to employers and recruiters. Listed as #1 in Forbes's list of best data analytics certifications, DataCamp’s certifications are the most respected within the data industry—helping learners fast-track hiring processes and helping new data professionals stand out.
About DataCamp
Whatever your starting point or data goals, DataCamp is your one-stop-shop for all your data needs. Across 380+ courses, track and certifications for all levels—DataCamp’s hands-on learning takes complete beginners to certified data professionals, then helps their learners find a job to match their new skills.
Right now, DataCamp for Business is offering up to 60% off their entire platform for a limited time only. With a 23% increase in the number of job openings predicted for analysts between now and 2031, there has never been a better time to upskill in data skills (US Bureau of Labor Statistics, 2022).
Join over 10 million learners, 2,500+ companies and 80% of the Fortune 1000 who use DataCamp to upskill their teams—you’re in good hands.