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Best Data Science Training in Hyderabad@8185045949

Key Considerations:

• Curriculum Focus: Ensure the program covers essential topics like Python, SQL, Machine Learning, and data visualization.
  
  

• Mode of Learning: Choose between live instructor-led classes, self-paced learning, or hybrid models based on your schedule and learning preference.
  
  

• Placement Support: Look for programs offering placement assistance, mock interviews, and resume building to enhance job prospects.Scaler+6GanaTech Solutions+6NIIT+6
  
  

• Certification: Opt for courses that provide recognized certifications to validate your skills.
  
  

• Fees and Duration: Consider the course fees and duration to find a program that fits your budget and timeline.

What a Data Science Course Covers

1. Core Concepts

• Statistics & Probability
  
  

• Data Wrangling & Cleaning
  
  

• Data Visualization
  
  

• Machine Learning Algorithms
  
  

• Big Data Tools (optional)
  
  

2. Languages & Tools

• Python (main language)
  
  

• Pandas, NumPy, Scikit-learn, Matplotlib
  
  

• SQL (for data querying)
  
  

• Jupyter Notebooks
  
  

• Git & GitHub (for version control)
  
  

3. Projects & Portfolios

• Real-world datasets
  
  

• Predictive modeling
  
  

• End-to-end machine learning pipelines
  
  

4. Capstone Project

• Solve a real-world problem using data science methods
  
  

• Present findings visually and in a report