We At SIM offers Data Science Courses in Pune in more than 2+ branches with expert trainers. Here are the key features.

• What is Data Science?
• What does Data Science involve?
• Life cycle of Data Science
• Tools of Data Science
• Need of Data Science
• Data Engineer vs Data Analyst vs Data Science
• Data Science and machine learning
• Data Science Life Cycle
• Data Science Platform
• Data Science Use Cases
• Skill Required for Data Science

Introduction to python | What is Python | History of Python | Use case of Python | Python Identifiers, Keywords Python Indentation Comments and document interlude in Python | Command line arguments | Getting User Input | Setup for python & anaconda | Jupyter Introduction | Jypyter Functions | Basic operators and functions | Variables & Operator

• Data types

1. Strings: Introduction | Operations | Functions | Exercises
2. Numbers: Introduction | Operations | Functions | Exercises
3. Lists: Introduction | Iterators | Operations | Functions | Exercises
4. Dictionary: Introduction | Operations | Functions | Exercises
5. Tuples: Introduction | Operations | Functions | Exercises
6. None Type
7. Boolean Type

• Functions

Introduction Built-in Functions | User define functions | Return statement | Multi-return statement | Default function | Lambda, Filter, Map function | Scope of Variable | Global Keyword Accessing Values | Basic Operations | Indexing, Slicing

• Conditional & Loop Statements

if Statement | if-else Statement | if-elif Statement | while Loops | For Loops | Nested Loops | Continue and break

• File Handling

Read file | Write file | File operations | Appending data into file

• Classes & Objects

Attributes/State/Properties | Behavior | Constructor | Inheritance

• SQL Database connection using python

Introduction to SQL | Installing Interface | Creating the connection | Creating cursor object | Creating database | Creating Tables | Insert Operation | Read Operation | Update Operation | Delete Operation

• Modules: System Defined and User Ddefined | Packages | Library

1. NumPy: Introduction | Python Arrays | Numpy Arrays | Single & Multi-Dimensional Arrays | Benefits of Arrays | Indexing, Slicing, Shaping | Operations with Array
2. Pandas: Introduction | Series | Dataframe | File Handling | Data Importing | Data Analysis | Slicing, Indexing | Appending
3. Matplotlib: Introduction | Applications | Line Plot | Sine Wave plot | Bar Graph | Scatter Plot | Histogram | Pie Chart
4. Seaborn: Introduction | Seaborn vs Matplotlib | Histogram | Distplot | Strip Plot | Swarm Plot | Bar Plot | Count Plot | Box Plot | Violin Plot | Heatmap
5. Scikit-Learn: Data Preprocessing | Data Cleaning | Data Integration | Data Transformation: Scaling and Encoding | Feature Engineering | Outlier Detection
6. SciPy: Introduction | Matrices Operations | Create matrices Inverse, Transpose, Trace, Norms , Rank etc | Eigen Values & vectors | SVDs

• Mathematics & Statistics

Logarithm | Standard Deviation & Mean Absolute Deviation | Normal Distribution | Mean, Median, Mode

Type of Data | Descriptive statistic-Central tendency and Variability | Distributions Correlations | Hypothesis testing – Confidence interval, Confidence level, P value Z score etc

• Introduction to Machine Learning

1. Supervised Learning: Regression and Classification
2. Unsupervised Learning: Clustering and Association
3. Reinforcement Learning

Regression: Linear Regression | Multiple Regression | Logistic Regression | Polynomial Regression

Classification: Decision Tree | Radom Forest | SVM | KNN | Naïve Bayes

Model evaluation techniques: Concepts of confusion matrix | Classification Report | Errors in Regression | ROC | AUC

Clustering: K-means Clustering | Hierarchical Clustering

AI Introduction | History of Artificial Intelligence

Artificial Neural Network: Elements of a Neural Network | What is an activation function and why to use them? | Forward Propagation | Back Propagation

Natural Language Processing: Introduction to NLP | Application of NLP | Understanding Natural Language Processing (NLP) | Tokenization | Streaming | Frequency Distribution | Frequency Graph | Dealing with Stopwords

Power BI

• Introduction
• Data Modelling
• Data Analysis Expression
• Power Query
• Create Reports
• Create Dashboard

Project 1: Sentiment Analyzer of Social Media

Project 2: Identifying Good and Bad Customers for Granting Loans

Project 3: Credit Card Fraud Detection Project

Project 4: Stock Price Prediction

Project 5: Movie Recommendation System

Project 6: Evaluating the performance of mutual funds.