Data Science Python Course

Data science is a rapidly growing field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from data. Python is one of the most popular programming languages for data science. This course provides in-depth instruction on all aspects of data science using Python. This Python Data Science Course is tailored to provide you with the skills and knowledge needed to excel in the field of data science. You will learn how to utilize Python for data analysis, build predictive models, and extract valuable insights from data. By the end of this program, you will be well-versed in Data Science Using Python, enabling you to confidently address data-driven challenges and make informed decisions.

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About Course

Our Python Data Science Course is a comprehensive program designed to provide you with a deep understanding of data science using Python. This Python Data Science Certification course is structured to equip you with the essential skills and knowledge required to excel in the field. Throughout this program, you'll gain hands-on experience in Python Data Science, learning how to analyze data, create predictive models, and extract valuable insights. With Learning Data Science Using Python, you'll be well-prepared to meet the demands of the ever-evolving data-driven industry. Upon completion of our course, you will be able to:

Use Python for data science tasks such as data cleaning, manipulation, and analysis

Build and train machine learning models using Python

Visualize data using Python

Apply your data science skills to solve real-world problems

Our Data Science Python Course is designed for students of all levels, from beginners to experienced professionals. We offer a variety of learning resources, including video tutorials, hands-on exercises, and real-world projects. You will also have access to our expert instructors who are always happy to help you learn and succeed.

Benefits Of Python Data Science Course

Discover the numerous advantages awaiting you when you enroll in our Python Data Science Course. Whether you're new to the field or seeking to enhance your existing skills, this Data Science Python Course offers a wealth of benefits that will empower you to excel in Data Science Using Python.

Comprehensive training: Python data science courses cover all aspects of data science, from data cleaning and manipulation to machine learning and data visualization.

Hands-on experience: Python For Data Science course typically include hands-on exercises and projects, so you can gain practical experience with data science tools and techniques.

Career advancement: Python data science skills are in high demand, so completing a Python data science course can help you advance your career or launch a new one in data science.

Certification: Upon completion, you'll receive a Python Data Science Certification, a valuable credential to showcase your expertise to employers and peers.

Data Analysis Proficiency: Learn how to use Python for data analysis, enabling you to extract meaningful insights from data and make data-driven decisions.

Predictive Modeling: Gain expertise in building predictive models, a crucial skill in the field of data science.

In-demand Skills: Python for Data Science is highly sought after by employers, making this course an excellent choice for those looking to enter the job market or switch careers.

Flexibility: Our Python Data Science Course offers flexibility in terms of timing and access, allowing you to learn at your own pace and on your schedule.

Course Curriculum

1. Python For Data Science With Statistics

In This Data Science Training module, we will show you how to use basic statistical principles and procedures to analyze Data. You'll learn how to summarize, store, and visualize Data, and develop an intermediate level of proficiency with coding in Python.

Python Introduction

Keywords and Identifiers in Python

Exploring Variables in Python

Python Data Types

Control Structures and Flow in Python

Understanding Python Functions, Modules, and Packages

Exploring Python's Date, Time, and Calendar Functions

Working with Lists in Python

Understanding Tuples in Python

Python Dictionaries

Sets in Python

Manipulating Strings in Python

Handling Exceptions in Python

File Handling in Python

Interacting with Databases Using Python

User Communication Through Emails with Python

Reading Excel Files with Python

Comprehensive Guide to Python's OS Module

2. Mathematical Computing With Python (NumPy)

In This Data Science Course, you will learn Mathematical Computing with Python (NumPy), An Introduction to Numpy, The Activity-Sequence it Right, Class and Attributes of nDarray, About the Basic Operations, Activity-Slice It, Copy and Views, About the Mathematical Functions of Numpy.

An Introduction to NumPy

Sequencing Activities the Right Way

Understanding Classes and Attributes of ndarray

Exploring Basic Operations in Detail

Slicing Activities

Copying and Viewing in NumPy

Diving into Mathematical Functions of NumPy

3. Analysis And Visualization Of Data

This module will teach you all about SQL, the query language for Databases. You'll learn how to use SQL to query a Database and manipulate the Data stored in it. You'll also learn how to use My SQL, a compatible open-source Database management system, and get a glimpse of what it can do.

Exploring Data Analysis and Visualization with Pandas

Statistics Unveiled

Mastering Pandas

Unlocking Data Analysis and Visualization with NumPy and MatPlotLib

Diving into NumPy

Harnessing the Power of MatPlotLib

An Introductory Guide to Data Visualization Using Seaborn

Getting Started with Seaborn

Visualizing Two Quantitative Variables Like a Pro

Bringing Together Categorical and Quantitative Variables in Visualization

Personalizing Seaborn Plots to Suit Your Needs

4. Machine Learning

Deep learning stands as an effective skill within the realm of AI, proving to be highly potent. This Data Science Course imparts a comprehensive comprehension of the neural network construction process, yielding expedited outcomes. Moreover, it equips you to adeptly manage the machine learning projects crucial for organizational requirements.

Getting Started with Machine Learning

Exploring Machine Learning Techniques

Understanding Regression in Machine Learning

Mastering Classification in Machine Learning

Use Visualization To Analyse Data

Prepare Data

Setting Up And Training A Model

Building Linear Regression Model

Build A Regularized Regression Model

Build An Iterative Linear Regression Model

Building Classification Models

Train Multi-Class Classification Models

Evaluate Classification Models

Tune Classification Models

Building Clustering Models

Build Hierarchical Clustering Models

Build Decision Tree Models

5. Data Preparation

In This Data Science Training, you will also Learn Data Preparation, Data Types, Operations You Can Perform on Different Types of Data, Continuous vs. Discrete Variables, Data Encoding, Dimensionality Reduction, Impute Missing Values, Duplicates Normalization and Standardization, Guidelines for Preparing Training and Testing Data, Splitting the Training and Testing Datasets and Labels.

Data Preparation

Data Types

Operations You Can Perform on Different Types of Data Continuous vs. Discrete Variables

Data Encoding

Dimensionality Reduction

Impute Missing Values

Duplicates

Normalization and Standardization

Guidelines for Preparing Training and Testing Data

Splitting the Training and Testing Datasets and Labels

6. Deep Learning

Deep learning stands as a paramount skill within the AI domain, demonstrating exceptional effectiveness. This Data Science Course is made to give you a strong foundation in deep learning, fostering your understanding of the neural network construction process. This dedicated Course in deep learning empowers you to proficiently oversee the imperative machine learning projects that companies need today.

Introduction to Deep Learning

Deep Learning Networks

Building Artificial Neural Networks

Working With TensorFlow, Keras And Pytorch

Build Convolutional Neural Networks (CNN)

Recurrent Neural Network

Auto Encoders And Decoders

7. Open CV

Reading an image in OpenCV using Python

Display an image in OpenCV using Python

Writing an image in OpenCV using Python

OpenCV | Saving an Image

Color Spaces

Arithmetic operations on Images

Bitwise Operations on Binary Images

Image Processing

Image Resizing

Eroding an Image

Blurring an Image

Border around Images

Grayscaling of Images

Scaling, Rotating, Shifting, and Edge Detection

Erosion and Dilation of images

Analyze an image using Histogram

Histograms Equalization

Simple Thresholding

Adaptive Thresholding

Otsu Thresholding

Segmentation using Thresholding

Convert an image from one color space to another

Background Subtraction in an Image Using Concept of Running Average

Foreground Extraction in an Image Using Grabcut Algorithm

Morphological Operations in Image Processing (Opening)

Morphological Operations in Image Processing (Closing)

Morphological Operations in Image Processing (Gradient)

Image segmentation using Morphological operations

Image Translation

Course Highlights

project based training course

Certified & Industry Experienced Trainers

Beginner To Expert-Level Training

Best-In-Class Training Curriculum

Online & Offline Training Modes

Project Deliverables

DETECTING PARKINSON'S DISEASE

DETECTION OF FAKE NEWS

SENTIMENT ANALYSIS

NEXT WORD PREDICTION

MOVIE RECOMMENDER

CUSTOMER SEGMENTATION

Who Can Apply?

Students with a background in mathematics, statistics, or computer science

Professionals who want to transition to a career in data science

Anyone who wants to learn how to use Python for data science

Recent college graduates

Mid-career professionals

Data enthusiasts

Job Roles

Python Developer

After completing the Data Science Python Course, you will be able to write clean, efficient Python code for various applications. You will be able to work as a Python Developer who can write code for web development and data analysis as well as automation.

Web Developer

After the Python Data Science Course, you could consider web development. Utilize Python frameworks like Django or Flask to build dynamic and user-friendly websites and web applications

Data Analyst

As a Data Analyst, you will examine data to identify trends, create visualizations, and generate insights to support business decision-making. Data Analyst is another job role after completing Python Data Science Certification.

Data Scientist

After you've completed the Data Science Python Course, you can choose to become a data scientist. Data scientists use Python to solve complex business problems, and they can utilize Python's libraries and tools for advanced data analysis, machine learning, and predictive modeling.

Machine Learning Engineer

Machine Learning Engineers is another Option after completing the Python Data Science Course. Machine Learning Engineers design and develop machine learning models and algorithms, often using Python, to enable systems to make intelligent decisions and predictions.

Data Science Consultant

Data Science Consultants work with various clients to solve data-related challenges, offering expertise in Python-based data analysis and modeling. A Data Science Consultant is another option after the Data Science Python Course.

our faculties

Gulshan Kumar

Data Science Instructor

An Industry Experienced Data science Expert having a working knowledge of all Data science Tools & Technologies. He has trained over 800+ Candidates in various Data Science Tools.

Vikas Singh

Data Science Instructor

An Industry-Experienced Data Science and Data Analytics Expert, possessing comprehensive familiarity with all Data Science tools and technologies. With a proven track record of successfully mentoring over 1500+ candidates in various Data Science and Data Analytics tools.

Career Services

profile building

We help in Creating & growing your professional profile that will make you stand out in the professional world.

interview preparation

We conduct multiple mock interview sessions with various tips & tricks that will make you habitual & confident in an interview environment.

job placement

Our dedicated team continuously works on finding & providing multiple opportunities for the students and provides 100% placement assistance.

Testimonials

Certification

Upon successfully completing our Data Science Python Course, you will earn a well-deserved Python Data Science Certification. This certificate is a confirmation of your dedication and expertise in the field of data science, and it will demonstrate your skills and knowledge to potential employers. Our Python Data Science Certification is recognized by leading employers in the field of data science. It is a valuable asset that will help you stand out from other job candidates and increase your chances of landing a job in data science.

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Frequently Asked Questions

1. What are the skills I need to succeed in Python Data Science Course?

To succeed in a Python Data Science Course, you will need to have a strong foundation in mathematics, statistics, and Computer Science. You will also need to be able to think critically and solve problems creatively.

2. What is the importance of Python For Data Science?

Python for Data Science is crucial because Python's simplicity and robust libraries make it a preferred choice for data analysis, visualization, and machine learning in the data science field.

3. What are the most important topics covered in your Data Science Python Course?

The most important topics covered in our Data Science Python Course include Data mining, Machine learning, Statistical analysis, Data visualization, Programming languages (Python, R), Problem-solving skills, Critical thinking skills, Communication skills, and Presentation skills.

4. What are the career prospects for Data scientists?

The career prospects for Data scientists are excellent. The demand for Data scientists is growing rapidly, and the median salary for Data scientists is high.

5. How can I Masters In Data Science?

To Masters In Data Science, you should, Be prepared to work hard, Ask questions when you don't understand something, Get help from your instructor or classmates, and Practice the skills you learn.

6. What will I learn in your Python Data Science Course?

In Our Python Data Science Course, you'll learn how to use Python for data analysis, build predictive models, and extract insights from data. It covers Python for Data Science comprehensively.

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Data Science Python Course

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About Course

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Course Curriculum

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Certification

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Data Science Python Course

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About Course

Benefits Of Python Data Science Course

Course Curriculum

our faculties

Career Services

Certification