Data Science and Analytics Training in Lucknow
Overview
The Data Science and Analytics training program is designed to provide individuals with the necessary skills to analyze and interpret complex data, make data-driven decisions, and develop predictive models. This course covers everything from fundamental statistical analysis to advanced machine learning techniques, ensuring a comprehensive understanding of the entire data science lifecycle.
Why Learn Data Science and Analytics?
Data Science and Analytics are key drivers in today's world. Learning this field offers:
- High demand for data professionals across industries
- Ability to solve real-world problems with data-driven solutions
- Understanding advanced statistical techniques and machine learning models
- Lucrative career opportunities in various sectors
- Hands-on experience with popular data science tools and frameworks
Highlights
Beginner Friendly
Learn the concepts step by step, starting from the basics to advanced techniques.
Industry-Relevant Skills
Master data analysis techniques and tools used by professionals in the field.
Hands-On Projects
Work on real-world data sets to develop practical expertise.
Data Science and Analytics Syllabus
- Introduction to Data Science:
- Overview of Data Science and Analytics
- Importance of Data in Decision Making
- Introduction to Data Science Tools
- Data Collection and Cleaning:
- Data Collection Techniques
- Data Cleaning and Preprocessing
- Handling Missing Data
- Data Visualization:
- Introduction to Visualization Tools (Matplotlib, Seaborn)
- Creating Interactive Dashboards
- Best Practices in Data Visualization
- Statistical Analysis:
- Basic Statistics (Mean, Median, Mode)
- Hypothesis Testing and Confidence Intervals
- Probability Theory
- Machine Learning:
- Supervised Learning (Regression, Classification)
- Unsupervised Learning (Clustering, PCA)
- Introduction to Neural Networks and Deep Learning
- Big Data Technologies:
- Overview of Big Data and Hadoop
- Introduction to Spark for Data Processing
- Time Series Analysis:
- Overview of Time Series Data
- Methods of Time Series Forecasting
- Natural Language Processing:
- Text Preprocessing and Tokenization
- Sentiment Analysis
- Text Classification Techniques
- Capstone Project: Analyze and Build Predictive Models on Real-World Data
Live Project
Work on a real-world data science project to apply your skills and gain hands-on experience under expert guidance.