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Data Science Course
Learn how to apply fundamental programming concepts, computational thinking and data analysis techniques to solve real-world data science problems. Enroll For The Most Demanding Skill In The World, Data Science Training From The Avidpackrat Will Take Your Carreer To A New Height.
No wonder Avidpackrat is regarded as the best Data Science training institute to master Data Science concepts and crack a job.The online data science Course program will help you learn in a structured way to gain in-depth knowledge and earn your Data Science Certification for a peak in your career. Our Data Science Course is effectively designed to understand the company requirements. We will prepare you to work as a professional Data Scientist, and we also provide a with 100 percent placement opportunities.Data Science Course has been designed after consulting some of the best professionals in the industry.Are you keen on taking up a career in data science? Then contact the data science training institute.
By 2025, the Big Data Analytics Sector in India is Estimated to Grow Eightfold, Reaching $16 Billion.
Data Scientists Earn More Than Average IT Employees.
What you'll learn From Data Science Training
- Explore the data science process
- Probability and statistics in data science
- Data exploration and visualization
- Data ingestion, cleansing, and transformation
- Introduction to machine learning
- The hands-on elements of this course leverage a combination of R, Python.
- Data PreProcessing
- Data Imputation
- Data Cleaning
- Data Transformation
- Data Visualization
- Data Analysis
- Data Engineering - Big Data
IT'S Interesting! Best Data Science Training
- Of these Data Analysis forms the chunk with a coverage of all Machine Learning algorithms - Regression, Clustering, Market Basket Analysis, Classification and Network Analysis and Recommendation Systems
- A programming language like R or Python and all above data task related packages are taught in such a program.
- Data Science is concerned with analyzing data and extracting useful knowledge from it.
- Building predictive models is usually the most important activity for a Data Scientist.
- However, because "Data Science" term is relatively new, the name is not commonly accepted yet, and other names are frequently used for the same area.It is also concerned with Data Visualization and presenting results in the form understandable to people.
Why Avidpackrat For Data Science Course ?
- Avidpackrat is an Leading Training Institute Providing best Data Science training.
- This course is a great introduction to both fundamental programming concepts and the Data Science programming
- By the end, you’ll be familiar with Data Science and you’ll be able to put into practice what you’ll have learned in a final project you’ll develop locally.
- Avidpackrat has experience Data Science Developer who can teach this language with Project oriented coaching.
- Avidpackrat offers 100% placement assistance And Also Has Nominal Fees
- See Our Google Review For More Clarity About Our Company
- Avidpackrat provides the best Data Science Course to help the beginners to enhance a good foundation in the programming languages.
Statistics Essentials for Analytics
- Understanding the Data
- Probability and its Uses
- Statistical Inference
- Data Clustering
- Testing the Data
- Regression Modelling
Data Science Overview
- Data Science
- Data Scientists
- Examples of Data Science
- Python for Data Science
Data Analytics Overview
- Introduction to Data Visualization
- Processes in Data Science
- Data Wrangling, Data Exploration, and Model Selection
- Exploratory Data Analysis or EDA
- Data Visualization
- Plotting
- Hypothesis Building and Testing
Statistical Analysis and Business Applications
- Introduction to Statistics
- Statistical and Non-Statistical Analysis
- Some Common Terms Used in Statistics
- Data Distribution: Central Tendency, Percentiles, Dispersion
- Histogram
- Bell Curve
- Hypothesis Testing
- Chi-Square Test
- Correlation Matrix
- Inferential Statistics
Python: Environment Setup and Essentials
- Introduction to Anaconda
- Installation of Anaconda Python Distribution – For Windows, Mac OS, and Linux
- Jupyter Notebook Installation
- Jupyter Notebook Introduction
- Variable Assignment
- Basic Data Types: Integer, Float, String, None, and Boolean; Typecasting
- Creating, accessing, and slicing tuples
- Creating, accessing, and slicing lists
- Creating, viewing, accessing, and modifying dicts
- Creating and using operations on sets
- Basic Operators: ‘in’, ‘+’, ‘*’
- Functions
- Control Flow
Mathematical Computing with Python (NumPy)
- NumPy Overview
- Properties, Purpose, and Types of ndarray
- Class and Attributes of ndarray Object
- Basic Operations: Concept and Examples
- Accessing Array Elements: Indexing, Slicing, Iteration, Indexing with Boolean Arrays
- Copy and Views
- Universal Functions (ufunc)
- Shape Manipulation
- Broadcasting
- Linear Algebra
Scientific computing with Python (Scipy)
- SciPy and its Characteristics
- SciPy sub-packages
- SciPy sub-packages –Integration
- SciPy sub-packages – Optimize
- Linear Algebra
- SciPy sub-packages – Statistics
- SciPy sub-packages – Weave
- SciPy sub-packages – I O
Data Manipulation with Python (Pandas)
- Introduction to Pandas
- Data Structures
- Series
- DataFrame
- Missing Values
- Data Operations
- Data Standardization
- Pandas File Read and Write Support
- SQL Operation
Machine Learning with Python (Scikit–Learn)
- Introduction to Machine Learning
- Machine Learning Approach
- How Supervised and Unsupervised Learning Models Work
- Scikit-Learn
- Supervised Learning Models – Linear Regression
- Supervised Learning Models: Logistic Regression
- K Nearest Neighbors (K-NN) Model
- Unsupervised Learning Models: Clustering
- Unsupervised Learning Models: Dimensionality Reduction
- Pipeline
- Model Persistence
- Model Evaluation – Metric Functions
Natural Language Processing with Scikit-Learn
- NLP Overview
- NLP Approach for Text Data
- NLP Environment Setup
- NLP Sentence analysis
- NLP Applications
- Major NLP Libraries
- Scikit-Learn Approach
- Scikit – Learn Approach Built – in Modules
- Scikit – Learn Approach Feature Extraction
- Bag of Words
- Extraction Considerations
- Scikit – Learn Approach Model Training
- Scikit – Learn Grid Search and Multiple Parameters
- Pipeline
Data Visualization in Python using Matplotlib
- Introduction to Data Visualization
- Python Libraries
- Plots
- Matplotlib Features:
- Line Properties Plot with (x, y)ü
- Controlling Line Patterns and Colorsü
- Set Axis, Labels, and Legend Propertiesü
- Alpha and Annotationü
- Multiple Plotsü
- Subplotsü
- Types of Plots and Seaborn
Data Science with Python Web Scraping
- Web Scraping
- Common Data/Page Formats on The Web
- The Parser
- Importance of Objects
- Understanding the Tree
- Searching the Tree
- Navigating options
- Modifying the Tree
- Parsing Only Part of the Document
- Printing and Formatting
- Encoding
Python integration with Hadoop, MapReduce and Spark
- Need for Integrating Python with Hadoop
- Big Data Hadoop Architecture
- MapReduce
- ClouderaQuickStart VM Set Up
- Apache Spark
- Resilient Distributed Systems (RDD)
- PySpark
- Spark Tools
- PySpark Integration with Jupyter Notebook
Data Science Course FAQ
Yes,Course Complition Certification And Project Experience Certification Provided, Certification Make Your Salary higher.
Avidpackrat Is Best Data Science Training,70 Percentage Practical Classes Are Provided And 30 Percentage Theory Classes Are Provided .
Contact Us
- 1st Floor, New 15 Old 93 Block-w, 2nd Street, Chennai, Tamil Nadu 600040
- 04426203368
- support@avidpackrat.com
- Timing
- Monday - Saturday : 09:00AM - 06:30PM
- Sunday : Holiday
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