A Career-Focused Data Science & Analytics Course Built to Make You Industry-Ready
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Course Overview
Master data analysis, machine learning, Python, and data visualization tools. Build data-driven solutions.
Duration
10 weeks
Level
Intermediate
Category
Data
Instructor
Data Science Experts
Course Syllabus
- •Python basics
- •NumPy
- •Pandas
- •Data manipulation
- •Data cleaning
What You'll Learn
Analyze and visualize data
Build machine learning models
Work with big data tools
Create data dashboards
Solve business problems with data
Prepare for data science careers
Projects You'll Build
Data Analysis Project - Analyze and visualize business data
Predictive Modeling - Build machine learning models
Dashboard Creation - Create interactive dashboards
Customer Analytics - Perform customer segmentation analysis
Time Series Analysis - Forecast trends and patterns
Data Pipeline - Build ETL pipeline for data processing
Meet Your Trainers
Watch Trainer Introduction
8+ Years of Experience
Industry Expert Trainer
Industry Professionals
Working at top tech companies
Certified Experts
AWS and Java certified
10,000+ Students Trained
Proven track record of success
The Tech Stack You'll Learn
Gain hands-on experience with the latest tools and technologies that are driving innovation in the industry
Prerequisites
Basic programming knowledge
High school mathematics
Logical thinking
Course Pricing
Course Features
- Hands-on data projects
- Real-world datasets
- Industry-standard tools
- Portfolio development
- Data science certificate
- Career support
Student Reviews
Bhavana Iyer
Data Scientist
Just completed the data science course! Excellent course! The Python and machine learning modules were comprehensive. The projects helped me build a strong portfolio.
Chaitanya Desai
Data Analyst
Great course covering all data science tools. The hands-on projects with real datasets were very practical. Highly recommend! The Pandas module was excellent.
Divya Malhotra
Data Visualization Specialist
Outstanding course! The data visualization module with Matplotlib and Seaborn was comprehensive. The dashboard creation section was practical.
Eshan Joshi
Statistical Analyst
Excellent course structure! The statistical analysis module was detailed. The A/B testing section was very helpful for my work.
Fatima Tiwari
ML Engineer
Great course! The machine learning basics module with supervised and unsupervised learning was comprehensive. The model evaluation section was excellent.
Gaurav Nair
Data Scientist
Best data science course! The advanced machine learning module with neural networks was detailed. The feature engineering section was practical.
Harshita Patel
Big Data Engineer
Comprehensive course! The big data tools module with Apache Spark was excellent. The data pipelines section was comprehensive.
Ishaan Kumar
Data Engineer
Outstanding course covering data science! The data engineering module with ETL processes was detailed. The data quality section was helpful.
Jyoti Mehta
Business Intelligence Analyst
Excellent course! The business intelligence module with Tableau and Power BI was comprehensive. The KPI tracking section was practical.
Karan Reddy
Data Science Professional
Great course! The real-world projects module was excellent. The customer analytics and predictive modeling sections helped me build a strong portfolio.
Lata Iyer
Data Analyst
Comprehensive data science course! The hands-on labs were practical. The instructors are knowledgeable and provide excellent support.
Mukesh Desai
Senior Data Scientist
Best investment for data science career! The course covers Python, ML, and data visualization. Got a job as data scientist after completion!
Frequently Asked Questions
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