Unlock the Power of Data with ENCODE-IT’s Data Science Training

Course Introduction: Data Science is one of the most dynamic and rapidly growing fields today,
revolutionizing industries across the globe. With the ability to analyze and interpret complex
datasets, data scientists help organizations make data-driven decisions that optimize operations,
enhance customer experiences, and boost profitability. ENCODE-IT’s Data Science Training course is
designed to provide you with the essential skills and tools you need to excel in this in-demand field.

This comprehensive course covers everything from programming in Python and R, statistical analysis,
data visualization, machine learning, and deep learning, to working with big data and artificial
intelligence. Whether you are a beginner with no prior experience or a professional looking to
sharpen your skills, our hands-on training will give you the practical knowledge you need to succeed
in the competitive world of data science.

Salary Scale in India: The demand for skilled data science professionals continues to rise, with
companies across sectors seeking experts who can harness the power of data to solve business
challenges. Here’s an overview of the salary range for data science professionals in India:
 Entry-Level Data Scientist: ₹6 Lakhs to ₹9 Lakhs per annum
 Mid-Level Data Scientist/Analyst: ₹9 Lakhs to ₹15 Lakhs per annum
 Senior Data Scientist/AI Engineer: ₹15 Lakhs to ₹30 Lakhs+ per annum

As organizations increasingly rely on data for decision-making, the demand for data scientists is
expected to grow, making this an exciting career path with lucrative salary opportunities.

Placement Assistance & Certification: Upon completion of the Data Science Training course, you
will receive an ENCODE-IT Certification, showcasing your expertise in data science and enhancing
your employability. Our dedicated Placement Assistance team will support you throughout your job
search, offering resume building, interview preparation, and job placement resources to help you
secure your ideal role in the data science field.

Course Curriculum:

1. Introduction to Data Science
o What is Data Science? Key Concepts and Importance
o The Data Science Workflow: Data Collection, Cleaning, Exploration, and Modeling
o Overview of Data Science Tools and Technologies
o Understanding the Role of a Data Scientist
o Introduction to Python and R for Data Science

2. Data Collection and Preprocessing
o Understanding Data Sources: Structured and Unstructured Data
o Data Acquisition: APIs, Web Scraping, Databases
o Data Cleaning and Preprocessing: Handling Missing Values, Outliers, and Duplicates
o Data Transformation: Normalization, Scaling, and Feature Engineering

o Data Wrangling with Pandas and NumPy

3. Exploratory Data Analysis (EDA)
o Introduction to EDA: Analyzing Data to Uncover Insights
o Visualizing Data with Matplotlib and Seaborn
o Descriptive Statistics: Measures of Central Tendency and Dispersion
o Correlation Analysis and Feature Selection
o Identifying Patterns and Trends in Data

4. Data Visualization
o Principles of Data Visualization: Best Practices
o Creating Interactive Visualizations with Plotly
o Visualizing High-Dimensional Data
o Creating Dashboards and Reports for Business Insights
o Advanced Visualization Techniques: Heatmaps, Pairplots, and Geographic Maps

5. Machine Learning Fundamentals
o Introduction to Machine Learning: Supervised vs. Unsupervised Learning
o Linear and Logistic Regression Models
o K-Nearest Neighbors (KNN) and Decision Trees
o Evaluating Machine Learning Models: Accuracy, Precision, Recall, F1-Score
o Cross-Validation and Hyperparameter Tuning

6. Advanced Machine Learning Algorithms
o Random Forest and Gradient Boosting Machines (GBM)
o Support Vector Machines (SVM) and Naive Bayes
o Clustering Algorithms: K-Means, Hierarchical Clustering
o Dimensionality Reduction Techniques: PCA, t-SNE
o Model Evaluation and Feature Importance

7. Deep Learning and Neural Networks
o Introduction to Deep Learning and Neural Networks
o Working with TensorFlow and Keras
o Building and Training a Neural Network
o Convolutional Neural Networks (CNN) for Image Recognition
o Recurrent Neural Networks (RNN) for Time Series and NLP

8. Natural Language Processing (NLP)
o Introduction to NLP and Text Mining
o Text Preprocessing Techniques: Tokenization, Lemmatization, Stop Word Removal
o Working with Text Data in Python using NLTK and SpaCy
o Text Classification, Sentiment Analysis, and Named Entity Recognition (NER)
o Building a Chatbot with NLP

9. Big Data Analytics
o Introduction to Big Data and Hadoop Ecosystem
o Working with Large Datasets: MapReduce, Spark, and Hive
o Data Streaming with Apache Kafka and Spark Streaming
o Parallel Computing and Distributed Systems
o Analyzing Big Data with Python and Spark

10. Artificial Intelligence (AI) and Data Science
o Introduction to Artificial Intelligence and its Applications
o AI Algorithms: Search, Optimization, and Game Theory
o Reinforcement Learning and Deep Q Networks (DQNs)
o Implementing AI Projects using Python
o Ethics and Challenges in AI and Data Science

11. Real-World Data Science Projects
o Predictive Analytics for Business Forecasting
o Customer Segmentation and Targeted Marketing
o Sentiment Analysis for Social Media Data
o Building a Recommendation System for E-Commerce
o Time Series Forecasting for Stock Market Predictions

12. Final Project and Certification Exam
o Final Project: End-to-End Data Science Solution Implementation
o Project Evaluation: Showcasing Your Skills in Data Science
o Final Exam: A Comprehensive Test on Data Science Concepts and Tools
o Certification of Completion from ENCODE-IT and Job Placement Assistance

Key Features of the Course:

 Tools & Platforms: Python, R, TensorFlow, Keras, Pandas, NumPy, Matplotlib, Scikit-learn,
Spark, Hadoop, Power BI
 Real-World Projects: Work on industry-relevant projects involving predictive modeling, NLP,
image recognition, and big data analytics
 Certification & Placement Support: ENCODE-IT certification and job placement assistance to
help you land your desired data science role
 Expert Instructors: Learn from experienced professionals with expertise in data science,
machine learning, AI, and big data
 Career Advancement: Enhance your skills to become a proficient data scientist, opening up
opportunities in various industries including finance, healthcare, retail, and more

By completing the Data Science Training course at ENCODE-IT, you will gain the expertise to analyze
complex datasets, build predictive models, and leverage cutting-edge technologies like machine
learning and deep learning. This will give you the skills to take on high-level roles in data science and
contribute to organizations' success by providing actionable insights through data analysis.