Learn data analytics, machine learning fundamentals, and applied AI concepts to solve real-world business problems using Python and modern tools.
The Data Science & Analytics + AI foundation course at Elevate Apps Academy is designed to help learners build strong analytical thinking and data-handling skills required in modern, data-driven industries.
The program emphasizes practical learning through hands-on exercises, real datasets, visualization, and foundational machine learning concepts rather than purely theoretical instruction.
Learn Python programming concepts required for data manipulation, analysis, and analytical workflows.
Clean, confirming, and analyze structured datasets using industry-standard practices.
Create meaningful visualizations and interpret data to support business decisions.
Understand supervised & unsupervised learning, basic models, and how AI is applied in real-world scenarios.
The Data Science & Analytics + AI foundation course follows a structured learning path focused on analytical skill development.
Data thinking, Python basics, and analytical mindset for beginners.
Data analysis, visualization, and statistical understanding using real datasets.
Machine learning fundamentals, applied AI use cases, mini projects, and interview preparation.
Applied AI case studies, ethical AI understanding, and structured mock interviews.
Based on the skills gained and selected learning track, learners can target the following roles.
Career outcomes depend on individual performance, skill level, and market conditions. We provide structured training and placement assistance but do not guarantee jobs.
Get personalized guidance on the Data Science & Analytics + AI foundation course, eligibility, and career opportunities.
No. This course focuses on Data Science with AI fundamentals. You will learn how AI is applied in analytics and business use cases. This is not a deep learning or AI engineer specialization.
This course is best suited for learners with basic programming or analytical interest. Beginners may require additional effort in early stages.
Yes. The course introduces machine learning concepts and practical applications at a foundational level.
Yes. The curriculum focuses on industry-relevant analytical skills. Job-oriented means skill-focused training, not guaranteed placement.
Speak with our advisors to understand the learning path and enrollment process.