Data Analyst Course

Data Analyst Course

Most entry-level data analyst positions require an appetite for data. Effective data analysis helps organizations make business decisions. Nowadays, data is collected by businesses constantly: through surveys, online monitoring, online marketing analyses, collected subscription and registration data (e.g. newsletters), and social media monitoring, among other things. Through hands-on projects, students will learn how to apply these techniques to real-world data sets and gain the skills to make data-driven decisions. The course is suitable for beginners interested in pursuing a career in data analytics or for professionals looking to enhance their data analysis skills.

By the end of the course, students will have a solid foundation in data analytics and be able to use these skills to inform business decisions.

  • Introduction
  • Operation & Control Flow
  • Data handling and Visualization
  • Linear Algebra
  • Distance
  • Statistics
  • PCA
  • Linear Regression
  • Optimization Techniques
  • KNN
  • Naive Bayes algorithm
  • Decision Tree
  • Unsupervised Learning
  • K Means
  • dB-scan
  • Algometric Clustering
  • Collaborative Filtering
  • Excel
  • Power BI
  • SQL
One-to-One ClassesOnline ClassesOffline Classes

Course Features:

  • Course Duration: – 6-8 Weeks (35 Hours approx)
  • Category: Databases, Predictive Analysis
  • Available Modes: Online (Batch or One on One)
  • Certificate: Yes
  • Location: Online – Live Sessions
  • Language: English
  • Sessions: Weekday and Weekend
  • Prerequisites: No
  • Skill Level: Beginner
  • Course Capacity: 20

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12

Years Of Experience

200

Companies

2000

Trained Students