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Amazon, Facebook, Microsoft, Google, Salesforce, and many more
Average Salary for a Data Engineer
This 4-hour self-paced data mining free course will introduce you to the fundamentals of data mining. Through video lessons and hands-on examples, you will learn:
Key statistical concepts for data mining such as distributions, regression, classification, clustering, and association analysis.
Data preprocessing techniques like data cleaning, integration, transformation, andRead More
Data mining is the computational process of analyzing large data sets to uncover hidden patterns, relationships, insights, and new knowledge that can generate value for business. It derives useful insights from raw data using statistical and machine-learning approaches.
In the digital age, data volumes are exploding from web, mobile, sensors, IoT devices, etc. Mining value from data has become critical for success. Data mining powers every function - marketing, risk, operations, finance, etc. It drives revenue, cuts costs, improves efficiency, manages risks better, and provides a competitive advantage.
You will receive a certificate after all video lessons and hands-on assessments. This certificate validates your data mining knowledge and can be added to your CV or shared on professional profiles.
You will have 90 days of access to the self-paced video lessons, hands-on exercises, and course materials. The content is available for you to consume at your own pace.
No, this introductory data mining course is completely free. There are no hidden costs or charges.
Your downloadable certificate will be immediately available once you complete the final assessment and meet the course passing criteria. This can be downloaded and shared instantly.
This data mining free course is designed for beginners. No programming or statistics knowledge is required. Concepts are explained clearly with ample visualizations and examples. There is an option to take lifetime access to an expert community forum if you need help.