17 Best Data Analytics Course For Upskilling In 2024
As a writer turned marketer, I was quickly in over my head when it came to data analytics and reporting. There’s so much data to handle, and it can be a real struggle if you don’t have the right data analytics courses or training under your belt.
- I found myself second-guessing my interpretations, unsure if I was pulling the right insights from the numbers.
- I often felt like I was missing critical trends, which left me scrambling when decisions needed hard data to back them up.
- And let’s be honest, without the proper training, wrangling with complex analytics tools became a frustrating time sink.
These pain points came up because I wasn’t properly equipped with the right educational resources to stay ahead of the curve. That’s why I’ve put together this list of data analytics courses—to help you avoid these struggles and give you the skills to turn data into actionable insights with confidence.
Best Data Analytics Courses Shortlist
Here’s my shortlist of the best data analytics course, I think are worth your time in 2024
- Google Data Analytics Professional Certificate (Google)
- Introduction to Data Analytics (IBM)
- Become a Data Analyst (LinkedIn Learning)
- Learning Data Analytics: 1 Foundation (LinkedIn Learning)
- IBM Data Analyst Professional Certificate (IBM)
- Google Advanced Data Analytics Professional Certificate (Google)
- Data Analytics for Business (Georgia Institute of Technology)
- Analyzing Business Data in SQL (DataCamp)
- Data Analytics for Business Professionals (LinkedIn Learning)
- Data Analysis for Management (London School of Economics and Political Science)
- Introduction to Data Analysis using Excel (Microsoft)
- MicroMasters® Program in Statistics and Data Science (MIT)
- Introduction to Data Science with Python (Harvard University)
- Microsoft Power BI Data Analyst Professional Certificate (Microsoft)
- SQL for Data Science (IBM)
- Data Analysis with Python (freeCodeCamp)
- IBM Data Science Professional Certificate (IBM)
Find more details about each course below.
Overview Of The Best Data Analytics Courses
1. Google Data Analytics Professional Certificate (Google)
The course emphasizes data cleaning, analysis, and visualization techniques. It covers organizing and analyzing data using spreadsheets, SQL, and R programming, along with creating visualizations in Tableau to present findings clearly and effectively.
- Who It’s For Beginners looking to start a career in data analytics
- Topics Covered:
- Data cleaning
- Data analysis
- Data visualization
- Using R programming
- Online, In-Person, or Both? Online
- Online Exam Required? No
- Duration: 6 months
- How Many Hours Of Instruction: 10 hours per week
- Eligibility Requirements: None
- Price: $49 per month
- Take The Course: Coursera
2. Introduction to Data Analytics (IBM)
The course encompasses the entire data lifecycle, from collecting and wrangling data to mining and visualizing it. It provides a comprehensive understanding of different data roles, including data engineers and data scientists, and explores various data structures, file formats, and data sources.
- Who It’s For Individuals new to data analytics
- Topics Covered:
- Data collection
- Data cleaning
- Data visualization
- Data analytics in action
- Online, In-Person, or Both? Online
- Exam Required? No
- Duration: 10 hours
- How Many Hours Of Instruction: Self-paced
- Eligibility Requirements: None
- Price: Free
- Take The Course: Coursera
3. Become a Data Analyst (LinkedIn Learning)
The course provides training in data analysis using a variety of tools, enabling the exploration of insights and the development of business strategies. It emphasizes skills in mathematics, statistics, communication, and the utilization of data analytics and visualization tools, preparing individuals for careers in high-demand data analysis roles.
- Who It’s For Aspiring Data Analysts
- Topics Covered:
- Data cleaning
- Data analysis
- Data visualization
- SQL
- Online, In-Person, or Both? Online
- Exam Required? No
- Duration: 40 hours
- How Many Hours Of Instruction: Self-paced
- Eligibility Requirements: None
- Price: $29.99 per month
- Take The Course: LinkedIn Learning
4. Learning Data Analytics: 1 Foundation (LinkedIn Learning)
Led by Robin Hunt, this course delves deeply into the practical aspects of data analytics. It covers working with essential tools such as Excel, Microsoft Access, SQL, and PowerBI to effectively analyze and clean data. The course also addresses data governance, and the process of gathering data from various departments, and includes challenge/solution sets to facilitate skill testing and refinement.
- Who It’s For Beginners in Data Analytics
- Topics Covered:
- Apply SQL statements and use joins effectively
- Interpret and clean data for analysis
- Recognize and model different types of data
- Understand the role and skills of a data analyst
- Online, In-Person, or Both? Online
- Exam Required? Yes
- Duration: 3 hours 29 minutes
- How Many Hours Of Instruction: 3 hours 29 minutes
- Eligibility Requirements: None
- Price: $29.99 per month
- Take The Course: LinkedIn Learning
5. IBM Data Analyst Professional Certificate (IBM)
This course provides comprehensive training designed for an entry-level data analyst role, featuring hands-on experience with tools like Excel, SQL, Python, Jupyter Notebooks, and Cognos Analytics. It involves working through real-world data scenarios, building a portfolio, and developing the skills required to address data-driven business challenges, all without the need for prior programming or statistical knowledge.
- Who It’s For: Aspiring data analysts
- Topics Covered:
- Data visualization with Excel, IBM Cognos Analytics, and Python libraries
- SQL and Python for data analysis
- Python programming and data mining
- Data wrangling and visualization with Matplotlib, Seaborn, and Folium
- Online, In-Person, or Both? Online
- Exam Required? Yes
- Duration: 10 months
- How Many Hours Of Instruction: 2 to 4 hours per week
- Eligibility Requirements: None
- Price: $39 per month
- Take The Course: edX | Coursera
6. Google Advanced Data Analytics Professional Certificate (Google)
The course offers an extensive exploration of the roles of data professionals within organizations, covering the creation of data visualizations and the application of statistical methods for data investigation. It includes instruction on constructing regression and machine learning models for data analysis and interpretation, as well as techniques for effectively communicating insights to stakeholders.
- Who It’s For: Experienced data analysts
- Topics Covered:
- Advanced statistical analysis and data visualization techniques
- Machine learning and predictive modeling
- Data storytelling and effective communication with stakeholders
- Ethical considerations in data analysis
- Online, In-Person, or Both? Online
- Exam Required? Yes
- Duration: 6 months
- How Many Hours Of Instruction: 10 hours per week
- Eligibility Requirements:
- Prior knowledge of foundational analytical principles, skills, and tools.
- Price: Free
- Take The Course: Coursera
7. Data Analytics for Business (Georgia Institute of Technology)
This interactive course focuses on using data analytics and analytical skills to solve business challenges and support data-informed decision-making. It provides knowledge in business analytics, preparing individuals to lead in these areas within business organizations.
- Who It’s For: Business professionals
- Topics Covered:
- Data analytics techniques
- Business problem-solving
- Data-driven decision making
- Generate actionable business insights from data analysis
- Online, In-Person, or Both? Online
- Exam Required? No
- Duration: 16 weeks
- How Many Hours Of Instruction: 10 to 12 hours per week
- Eligibility Requirements:
- CSE6040x and its prerequisites
- ISYE6501x and its prerequisites
- Price:
- Without certificate: Free
- With certificate: $825
- Take The Course: edX
8. Analyzing Business Data in SQL (DataCamp)
The course provides instruction on leveraging business data to improve performance and profitability. It includes training on identifying key performance metrics and writing SQL queries to calculate and report on these metrics, utilizing data from a fictional food delivery startup for hands-on experience with real-world scenarios.
- Who It’s For: Data analysts and business professionals
- Topics Covered:
- Calculating revenue, cost, and profit using Common Table Expressions.
- Understanding unit economics, histograms, bucketing, and percentiles.
- Calculating user-centric KPIs
- Creating executive reports by compiling and presenting KPIs
- Online, In-Person, or Both? Online
- Exam Required? No
- Duration: 4 hours
- How Many Hours Of Instruction: 4 hours
- Eligibility Requirements: None
- Price: Free
- Take The Course: DataCamp
9. Data Analytics for Business Professionals (LinkedIn Learning)
Led by economist John Johnson, this course focuses on using data analytics to support data-driven business decisions and achieve a competitive advantage. It covers distinguishing between predictive and prescriptive analytics, collecting and cleaning data, and applying techniques such as forecasting and correlation.
- Who It’s For: Business Professionals
- Topics Covered:
- Data visualization
- Data-driven decision making
- Business applications
- Forecasting
- Online, In-Person, or Both? Online
- Exam Required? No
- Duration: 1 hour and 16 minutes
- How Many Hours Of Instruction: 1 hour and 16 minutes
- Eligibility Requirements: None
- Price: $33 per month
- Take The Course: LinkedIn Learning
10. Data Analysis for Management (London School of Economics and Political Science)
This course focuses on developing skills to interpret and communicate data for informed decision-making. It includes a capstone project that involves using Tableau to visualize and report on real data sets, providing practical experience in extracting business insights applicable across various industries.
- Who It’s For: Managers and business leaders
- Topics Covered:
- Decision-making, risk quantification, and evidence-based decisions
- Data visualization, descriptive statistics, and data integrity
- Understanding causal relationships and statistical inference
- Time series forecasting and delivering insights through storytelling
- Online, In-Person, or Both? Online
- Exam Required? No
- Duration: 8 weeks
- How Many Hours Of Instruction: 7 to 10 hours per week
- Eligibility Requirements: None
- Price: $2,129
- Take The Course: edX
11. Introduction to Data Analysis using Excel (Microsoft)
This course, as part of a specialization, focuses on using Microsoft Excel for data analysis, particularly on mastering pivot tables, a widely utilized analytic tool. It allows learners to acquire a new skill at their own pace, imparting the expertise needed to analyze data effectively and make informed decisions using Excel's functionalities.
- Who It’s For Beginners in Data Analysis
- Topics Covered:
- Excel tables
- Creating pivot tables, pivot charts, and dashboards with slicers
- Advanced pivot table techniques
- Using formulas for data aggregation
- Online, In-Person, or Both? Online
- Exam Required? No
- Duration: 4 weeks
- How Many Hours Of Instruction: 2 to 4 hours per week
- Eligibility Requirements: None
- Price: $99
- Take The Course: edX
12. MicroMasters® Program in Statistics and Data Science (MIT)
This course offers comprehensive training in data science, statistics, and machine learning, with modules designed to optimize your data analysis skills. It emphasizes probabilistic modeling, statistical inference, and big data analysis. The course includes the development of machine learning algorithms, covering both unsupervised and supervised methods, and applies these techniques to analyze cultural, social, economic, and policy-related data.
- Who It’s For Advanced learners in data science
- Topics Covered:
- Data analysis in social science
- Fundamentals of statistics and probability
- Machine learning with Python
- Capstone exam in statistics and data science
- Online, In-Person, or Both? Online
- Exam Required? Yes
- Duration: 1 year and 2 months
- How Many Hours Of Instruction: 10 to 14 hours per week
- Eligibility Requirements: None
- Price: $1,350
- Take The Course: edX
13. Introduction to Data Science with Python (Harvard University)
This course offers practical, in-depth experience in the Python programming language for data science, emphasizing programming, modeling, and machine learning. It involves using libraries such as Pandas, NumPy, and SKLearn to solve real-world problems and establish a solid foundation for those who enroll to further study in machine learning and AI.
- Who It’s For Beginners in Data Science
- Topics Covered:
- Linear, multiple, and polynomial regression
- Model selection, cross-validation, and hyperparameters
- Classification, logistic regression, and missing data
- Bootstrap, confidence intervals, hypothesis testing, and capstone project
- Online, In-Person, or Both? Online
- Exam Required? No
- Duration: 6 months
- How Many Hours Of Instruction: 3 to 6 hours per week
- Eligibility Requirements:
- Basic programming knowledge, preferably in Python
- Fundamental understanding of statistics
- Price: Free with optional upgrade available
- Take The Course: edX
14. Microsoft Power BI Data Analyst Professional Certificate (Microsoft)
This certificate program focuses on using Power BI to connect to data sources, transform data, and create insightful reports and dashboards. It provides hands-on practice with Excel data and prepares individuals for the Microsoft PL-300 Certification exam through a capstone project.
- Who It’s For Data analysts and business professionals
- Topics Covered:
- Preparing data for analysis and harnessing data power
- ETL, data modeling, and analysis in Power BI
- Creative designing and visualization in Power BI
- Deploying, maintaining Power BI assets, and exam preparation
- Online, In-Person, or Both? Online
- Exam Required? Yes
- Duration: 5 months
- How Many Hours Of Instruction: 10 hours per week
- Eligibility Requirements: None
- Price: Free
- Take The Course: Coursera
15. SQL for Data Science (IBM)
This free course covers relational database concepts and foundational SQL knowledge, emphasizing practical, hands-on learning. It includes working with real databases and datasets, constructing SQL queries, and accessing databases from Jupyter notebooks using SQL and Python, without requiring prior experience.
- Who It’s For: Data scientists and analysts
- Topics Covered:
- Understand databases and relational database management systems (RDBMS)
- Execute basic SQL queries and use string patterns for data filtering
- Sort, group, and utilize built-in database functions
- Query multiple tables, compose sub-queries, and analyze data with Python in Jupyter Notebooks
- Online, In-Person, or Both? Online
- Exam Required? No
- Duration: 4 weeks
- How Many Hours Of Instruction: 2 to 4 hours per week
- Eligibility Requirements: None
- Price: Free
- Take The Course: edX
16. IBM Data Science Professional Certificate (IBM)
This course covers practical skills in data science, including Python, SQL, and machine learning. It involves importing, cleaning, analyzing, and visualizing data, as well as building machine learning models and applying these skills to real-world projects, resulting in a comprehensive portfolio.
- Who It’s For: Aspiring data scientists
- Topics Covered:
- Introduction to data science, tools, and methodology
- Python programming for data science, AI, and SQL
- Data analysis, visualization, and machine learning with Python
- Applied data science capstone, generative AI, and career preparation
- Online, In-Person, or Both? Online
- Exam Required? Yes
- Duration: 6 months
- How Many Hours Of Instruction: 10 hours per week
- Eligibility Requirements: None
- Price: Free
- Take The Course: Coursera
17. Data Analysis with Python (freeCodeCamp)
This course series encompasses the entire data analysis process, starting with reading data from CSV, SQL, and Excel files, and progressing to processing data with NumPy and Pandas, and visualizing it using Matplotlib and Seaborn. It also features a Jupyter Notebook course and a Python reference guide for quick programming refreshment.
- Who It’s For: Beginners in data analysis
- Topics Covered:
- Data cleaning
- Data analysis
- Data visualization
- Reading data
- Online, In-Person, or Both? Online
- Exam Required? No
- How Many Hours Of Instruction: Self-paced
- Eligibility Requirements: None
- Price: Free
- Take The Course: freeCodeCamp
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