Data Science is a rapidly growing field that combines programming, statistics, and domain knowledge to extract insights and knowledge from structured and unstructured data. Companies across industries are actively seeking skilled data scientists to make data-driven decisions and gain a competitive edge.

Revanth Technologies offers advanced Data Science online training with real-time projects and expert guidance. Joining us ensures you get hands-on experience, industry-relevant skills, and personalized mentorship from experienced trainers to accelerate your career growth.

Data Science Overview

• Introduction to Data Science
• Different Sectors using Data Science
• Python vs R
• What is the role of a Data Analyst
• What is the role of a Data Scientist
• Opportunities in Data Science

Data Analysis Overview

• Data Analysis Process
• Knowledge Check
• Exploratory Data Analysis
• EDA - Quantitative Technique
• Types of Variables
• Types of Problems

Data Visualization Overview

• Why Visualize everything ?
• Importance of Visualization
• Types of Visualization Strategies
• Color Palettes
• Types of Charts
• When to Use Different Charts
• Sub Plots
• Plotting with Pandas
• Matplotlib
• Seaborn
• Plotly - Advanced Data Visualization
• Scientific Data Visualization
• Driving Insights from Visualizations

Python Programming Language

• History and Overview
• Applications and Use Cases
• Syntax, Comments, Variables
• Data Types, Numbers, Casting
• Strings, Booleans, Operators
• Lists, Tuples
• Sets, Dictionaries
• Loops and Conditionals
• Lambdas and Arrays
• Classes and Objects
• Inheritance
• Iterators
• Scope and Modules
• Dates and Json
• Regular Expressions
• File Handling
• Python for MongoDB
• Python for MySQL
• Quizzes

Numpy

• Creating Numpy Arrays
• Mathematical Functions
• Subset, Slice, and Index
• Manipulating Numpy Arrays
• Join, Split, Resize etc.
• Transpose, Reshape
• Visualizing Numpy Arrays
• Data Analysis with Numpy
• Numpy Functions

Pandas

• Introduction to DataFrame
• DataFrame Operations
• Pandas Functions
• Plotting with Pandas
• Advanced Pandas Trick
• Exploratory Data Analysis
• Data Ingestion and Inspection

Statistical Analysis

• Introduction to Statistics
• Mean, Mode, Standard Deviation
• Scales and Measures
• Basic Terms and Terminologies
• Use Cases and Problems
• Summarizing Distribution
• Graphing Distribution
• Univariate Data
• Bivariate Data
• Multivariate Data
• Normal Distributions
• Probability
• Sampling Distributions
• Advanced Graphs
• Estimation
• Hypothesis Testing
• A/B Testing
• Analysis of Variance
• Standardization
• Normalization
• Box Cox Transformation
• Cosine Similarity

Advanced Statistics

• Bernoulli and Binomial Distribution
• Chebyshev’s Inequality
• Correlation vs Causation
• Interquartile Range
• Kernel Density Estimation
• QQ Plot
• Skewness
• Resampling and Permutation test

Supervised Machine Learning

• Introduction
• Types of Supervised Techniques
• Regression Analysis
  • Types of Regression Algorithms
  • Linear Regression
  • Logistic Regression
  • Lasso Regression
  • Ridge Regression
  • Elastic Net Regression
  • Metrics for Regression Analysis
• Classification Analysis
  • Decision Trees
  • Random Forest
  • Support Vector Machines
  • K Nearest Neighbors
  • Naive Bayes Theorem
  • AdaBoost Classifier
  • Metrics for Classification

Join Revanth Technologies for Advance Data Science online training in India to gain hands-on experience with real-world projects, master Python, R, Machine Learning, and advanced statistical techniques. Our expert trainers and industry-focused approach ensure you get the best learning experience and career-ready skills. Contact us today to start your data science journey!