DATA SCIENCE COURSE
WinProSys’s Data Science course equips aspiring professionals with skills to analyze complex data, extract insights, and make informed, data-driven decisions across various industries.
WinProSys
WinProSys
- Hands on Training
- Flexible Timings
- Industry Based Training
- Experienced Experts
- Affordable Fees
- Placement Opportunities
Attend a Free Demo
Extract Insights
Make Data-Driven Decisions with Advanced Techniques
WinProSys’s Data Science course empowers you to analyze complex data, build predictive models, and deliver actionable insights for smarter business strategies.
Limited Students Batch
Live Projects
Personalised Attention
Career Support
Highly Qualified Experts
Job Oriented Training
Flexible Batch Timings
Interactive Learning
Our Candidates Placed
Our candidates are placed at top-rated companies across various industries. At WinProSys, we ensure skill-matching and career growth by connecting talented professionals with leading employers for long-term success.
Course Curriculum
- Introduction to Data Science & Evolution of Data Science
- Difference between Data analyst & Data Scientist
- Roles & Responsibilities of Data Scientist
- Difference between Supervised & Unsupervised learning
- What is machine learning
- Deep learning and Artificial Intelligence
- Probability
- Bayesian Inference
- Hypothesis testing
- Descriptive Statistics
- Inferential Statistics
- Hypothesis testing
- Statistical Distribution(Discrete and continuous)
- Installation of Anaconda Framework
- How to work with Jupiter notebook and Spyder IDE’s
- Python Data type
- What is linear regression?
- What is logistic regression?
- Difference between Linear and Logistic
- Difference between Regression and Classification
- Building a model using Linear and Logistic Regression
- What is clustering?
- Difference between K-means and KNN
- Different Use cases of clustering
- Building a model using K-means and KNN
- Data Exploration and Cleaning
- Optimization Techniques
- Natural Language Processing (NLP)
- Data Wrangling
- Time Series Analysis
- Big Data Processing
- Model Deployment
- Data Ethics and Privacy
- Descriptive and Inferential Statistics
- Classification
- Data Ethics and Privacy
- Data Storytelling
- Data Science Tools
- Domain Knowledge
- Ensemble Methods
- A/B Testing
Professional Certificate
Beginner level
No previous experience necessary
Course Session
25 Days 1 Hours per day
Flexible schedule
Learn at your own pace
Check out our other platforms.
Course Key Features
Data scientists are in high demand across various industries, making it a lucrative career choice You'll learn how to make informed decisions based on data analysis, leading to better business outcomes Creating clear and concise reports and dashboards to communicate findings to stakeholders
Quick Response
WinProSys ensures quick response times, addressing client queries and technical issues promptly for seamless project continuity.