Dealing with data is a very crucial and mandatory step in today’s tech-driven world. In recent research, it has been found that you can raise your salary by 29% by upskilling yourself in data analytics. With this, the demand for data analytics courses has increased and you definitely need to know the best courses.
In this blog, we’ll be looking at some of the best data analytics courses and certifications. These courses have quality content, a doubt-support program, and real-life projects that will help you gain a deeper understanding of the fundamentals. Also, you get industry-recognized certificates upon completion of the course. Let’s get started:
Best Data Analytics Courses and Certifications [2024]
Data Analytics involves the use of various techniques, tools, and methodologies to analyze and interpret data, aiming to derive meaningful insights. In this article, we’ll guide you through a curated list of the best data analytics courses and certifications available today.
1. Complete Data Analytics Program by Geeks for Geeks
The very first data analytics course which is a comprehensive course that will help you grow from a beginner to an advanced-level analyst. This course equips you with the essential tools and skills like Jupyter Notebook, Numpy, Pandas, Excel, SQL, Tableau, and more to become a smart and industry-ready Data Analyst expert.
You can elevate your expertise by mastering our Data Analytics Course. You can gain proficiency in Python, SQL, Excel, and Tableau for data analysis, visualization, and reporting. Explore hands-on real-world projects and much more.
Key Highlights:
- 3 Live Classes Every Week
- 30+ hours of Beginner to Advanced Self-Paced Content
- Work on Multiple Real-Life Projects and implementation
- Industry Recognized Certificate
- Articles to supplement the learning experience
- Learn industrial tools including Pandas, Jupyter, Numpy, Excel, SQL, Tableau, and more.
- Hands-on practice with Real-World Datasets
Syllabus:
- Week 1: Excel
- Week 2: Excel
- Week 3: Advanced SQL Techniques
- Week 4: Advance SQL
- Week 5: Introduction to Python for Data Analysis
- Week 6 : Exploring Data with Pandas & Matplotlib
- Week 7: Real time python
- Week 8: Project implementation
- Week 9: DeIve into PowerBI
- Week 10: Power BI for Real-Time Analytics and Advanced Features
Duration: 10 weeks
Certificate: Available
2. Mastering Data Analytics – Python, SQL, Excel, Tableau
Next, you can go for this course which will help you to elevate your skills with our Mastering Data Analytics course. Learn Python, SQL, Excel, and Tableau for data analysis, visualization, and reporting through hands-on projects.
This will help you to go from a beginner to an advanced level analyst equipping you with the tools and skills like Jupyter Notebook, Numpy, Pandas, Excel, SQL, Tableau, and more to become a smart and industry-ready Data Analyst expert.
Key Highlights:
- 10+ hours of Beginner Content
- 20+ hours of Advanced Content
- Work on Multiple Real Life Projects and implementation
- Industry Recognised Certificate
- Articles to supplement the learning experience
- Learn industrial tools including Pandas, Jupyter, Numpy, Excel, SQL, Tableau, and more
- Hands-on practice with Real-World Datasets
Syllabus:
- Python
- Data Toolkit
- Data Analysis with Python
- Excel
- SQL
- Tableau
Duration: 26+ hours
Certificate: Available
3. Cloudera Data Platform: Data Analyst Certification
This is a certification course which provides the benchmark in verifying your proficiency with Cloudera Data Platform. This exam assesses your knowledge and skills in working with the platform, from system administration to solution development to data analysis and more.
CDP certification exams are question-based and proctored securely online, and earned credentials are awarded with digital badges that can be socialized on professional forums.
Exam Details:
- Exam Number: CDP-4001
- Number of questions: 40
- Duration: 120 minutes
Topics to be Known:
- Use Cloudera Data Visualization Building dashboards to display summary data
- Use Apache Hive or Apache Impala to combine data sets using unions or joins
- Use Cloudera Data Science Workbench to create machine learning applications and prototype advanced logic
- Use Cloudera Machine Learning to create machine learning applications and prototype advanced logic
- Use Apache Ranger and Atlas to secure database tables
- Use Apache Hive or Apache Impala to provide SQL access to data to browse existing databases and tables in big data systems
- Calculate aggregate statistics, such as sums and averages, during a query using Apache Hive or Apache Impala
- Develop and implement databases (and data collection systems?) using Cloudera Data Warehouse
Duration: depends on when you’re ready with the topics mentioned above
Certificate: Available (valid for 2 years)
4. Microsoft Certified: Power BI Data Analyst
This course by Microsoft, covers the basic fundamentals of Power BI. To appear in this exam, you need to have the basic skills required. You should be proficient at using Power Query and writing expressions by using Data Analysis Expressions (DAX). You know how to assess data quality.
Plus, you understand data security, including row-level security and data sensitivity. Use Power BI to:
- Prepare the data (25–30%)
- Model the data (25–30%)
- Visualize and analyze the data (25–30%)
- Deploy and maintain assets (15–20%)
Syllabus:
- Get started with Microsoft data analytics
- Prepare data for analysis with Power BI
- Model data with Power BI
- Build Power BI visuals and reports
- Manage workspaces and datasets in Power BI
Duration: 21+ hours
Certificate: Available (valid for 2 years)
5. Turing College Data Analytics Certification
In this data analytics program, you will learn by doing 12 real-life data analytics projects, each of which is reviewed by a senior data analyst. You’ll specialize in areas like product analytics, marketing analytics, financial analytics, and monetization analytics. You will learn the tools and languages needed to begin your data analyst career.
Syllabus:
- Core Analyst Toolkit
- Communicating Analysis Results
- Main Analysis Types
- Analyzing Business Problems
- Optional Modules
Duration: 6-10 months
Certificate: Available
6. Associate Certified Analytics Professional (aCAP)
This data analytics certification course will help you in having an in-depth understanding by covering the major domains covered in data analytics domain. You don not need any education or experience in order to get started with data analytics. It covers the following seven domains:
- Business Problem Framing
- Analytics Problem Framing
- Data
- Methodology Selection
- Model Building
- Deployment
- Lifecycle Management
The aCAP exam questions cover all seven domains of the analytics process, with the distribution of questions as follows:
- Business Problem Framing – 14% of exam questions
- Analytics Problem Framing – 17% of exam questions
- Data – 23% of exam questions
- Methodology Selection – 14% of exam questions
- Model Building – 16% of exam questions
- Deployment – 10% of exam questions
- Lifecycle Management – 6% of exam questions
Duration: 6-8 weeks
Certificate: Available
7. Google Data Analytics Professional Certificate
This is a beginner-level course where you’ll learn in-demand skills that will have you job-ready in less than 6 months. You learn key analytical skills and tools and understand how to clean and organize data for analysis. You learn how to visualize and present data findings in dashboards, presentations and commonly used visualization platforms.
Syllabus:
- Foundations: Data, Data, Everywhere
- Ask Questions to Make Data-Driven Decisions
- Prepare Data for Exploration
- Process Data from Dirty to Clean
- Analyze Data to Answer Questions
- Share Data Through the Art of Visualization
- Data Analysis with R Programming
- Google Data Analytics Capstone: Complete a Case Study
Duration: 6 months at 10 hours a week
Certificate: Available
8. The Complete Introduction to Data Analytics with Tableau
This course by Udemy helps you to begin your data analytics career with tableau, and solving realistic analytics projects. It has 2 articles, 52 downloadable resources, and a certification upon completion of the course. Each concepts will be explained with a project to have you in-depth understanding of the concepts. By the end of this course you’ll understand the inner workings of the data analytics pipeline from joining, filtering, etc.
Syllabus:
- Introduction to the Course
- Project 1: Discount Mart (Sales and Profit Analytics)
- Project 2: Green Destinations (HR Analytics)
- Extra Projects: My Paper (Accounts Receivable)
- Project 3: Superstore (Sales Agent Tracker)
- Project 4: Northwind Trade (Shipping Analytics)
- Project 5: Tesla (Stock Price Analytics)
- Bonus: Introduction to Database Concepts
- Section: Tableau Stories
- Data Optimization
Duration: 8 hours
Certificate: Available
9. Business Analytics by Harvard University
From this course offered by Harvard University, you can develop a data mindset and the analytical skills to interpret and communicate data while applying concepts to real business problems. This course begins with basic descriptive statistics and progresses to regression analysis.
You’ll learn course concepts in the context of performing A/B testing on a website, using sampling to check warehouse inventory, predicting home video sales based on box office performance, and forecasting staffing needs for a hotel front desk. Throughout the course, you will receive clear guidance on how to implement analytical techniques in Excel.
Topics:
- Business Intelligence
- Business Analysis
- Career Development
- Excel
- Professional Development
- Self-Improvement
Duration: 8 weeks
Certificate: Available
10. Excel Skills for Data Analytics and Visualization Specialization
This course is a specialization of 3 course series where you unleash the Power of Excel to Analyse Your Data. Import, visualize, and analyze huge and complex datasets using modern Excel tools.
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.
Syllabus:
- Excel Fundamentals for Data Analysis
- Data Visualization in Excel
- Excel Power Tools for Data Analysis
Duration: 1 month at 10 hours a week
Certificate: Available
Conclusion
Now that you’re aware of some of the best data analytics courses with certifications, go and explore now. Dive deep into the concepts with the best data analytics certification course. These courses cover the basics to intermediate to advanced-level concepts and also has industry-led projects. Go and pick the courses as per your need and level of proficiency.
FAQs
1. Is data analytics worth in 2024?
Data analytics is surely an in-demand profession, whose demand is increasing day-by-day. It is expected to grow by 25% by the year 2025, hence the pay is also expected to increase.
2. What is the best course for data analytics?
You can consider choosing – Complete Data Analytics Program course by neveropen which has concepts covered in-depth and will lead you to a successful career in data analytics field.
3. Is Google Analytics certificate worth it?
Yes, if you’re a beginner, choosing Google data analytics course will help you to have a step-by-step guidance on data analytics.
