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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

    1

    DETECTING PARKINSON'S DISEASE

    2

    DETECTION OF FAKE NEWS

    3

    SENTIMENT ANALYSIS

    4

    NEXT WORD PREDICTION

    5

    MOVIE RECOMMENDER

    6

    CUSTOMER SEGMENTATION

    who can apply

    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

    Job Roles

    1

    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.

    2

    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

    3

    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.

    4

    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.

    5

    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.

    6

    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

    Data Science Instructor

    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 profile building

    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.

    interview preparation interview preparation
    job placement job placement

    job placement

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

    Testimonials

    testimonial
    Ananya Srivastav

    Ananya Srivastav

    5

    Brillica services provided us best data analytics course & data science course with placement. They have best trainers for data science & data analytics course, thanx to the placement team of Brillica Services ....

    Sahil Sharma

    Sahil Sharma

    5

    Staff is really experienced and well trained. Good company for studying data science,python,AI,Machine learning etc.. ....

    Saurabh Bhandari

    Saurabh Bhandari

    4

    Completed my Machine Learning course with Brillica.And from my experience Brillica is one of the best institutes for training in machine learning and data science in Dehradun region with very supportive instru....

    Ronak Dua

    Ronak Dua

    5

    Undoubtedly you provide the best Data Science course, I was already impressed in the demo classes and the trainers are so experienced and helpful that you will never feel confused and left out. Currently I am ....

    Suman Pandey

    Suman Pandey

    5

    I joined Brillica to take the training of Data Science. I enjoyed the course and learned a lot from it. The content is well organized and focused on practical situations. They also provide the recording which....

    Srishti Singhal

    Srishti Singhal

    5

    Really nice experience. I was enrolled in a Data Science program and liked the way teachers concentrated on every child even in online classes. Great faculty who supports you even after completion of course. Yo....

    Tech World 2021

    Tech World 2021

    5

    I did IOT and Data Science from here . Very nice coaching is really helping me in my career . Class mai hasi mazak bhi hota hai . I would highly recommend this place for IOT and Data Science . Enroll today. ....

    Shivam Amoli

    Shivam Amoli

    4

    Opted for Data science using Python, and it was a great start. All concepts were explained by Gurjas sir in every possible way. All doubts cleared. Had a very good experience learning. ....

    Anmol Jaiswal

    Anmol Jaiswal

    4

    It was the best 6 months spent here to learn data Science skills.....

    certificate

    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.

    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, there are several essential skills that you should possess or be prepared to develop. Firstly, a strong foundation in Python programming is crucial, as Python is the primary language used in data science. Proficiency in data manipulation libraries like NumPy and Pandas, as well as data visualization tools like Matplotlib and Seaborn, is highly beneficial.Finally, problem-solving skills, critical thinking, and the ability to work with real-world datasets are essential for success in a Python Data Science course and in a data science career.

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

    Python plays a pivotal role in the field of Data Science, making it an indispensable language for those pursuing a Data Science Course. Its importance lies in its versatility, readability, and a rich ecosystem of libraries and tools, such as NumPy, Pandas, and scikit-learn, tailored for data analysis, manipulation, and machine learning. Python simplifies data handling, streamlines data visualization, and enables efficient modeling and analysis, which are critical components of Data Science.

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

    In our comprehensive Data Science Python Course that covers a wide array of crucial topics. Some of the most important subjects covered in 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. Students can also expect to gain hands-on experience in working with real-world datasets and developing data-driven solutions, making them well-prepared for a career in the dynamic field of data science.

    4. What are the career prospects for Data scientists?

    Data scientists enjoy promising career prospects in today's data-driven world. With the increasing importance of data analysis and machine learning, data scientists are in high demand across various industries. Upon completing a data science course and gaining practical experience, you can expect to pursue roles such as data analyst, machine learning engineer, AI specialist, business intelligence analyst, or even a data scientist. These positions often come with competitive salaries and offer opportunities for career growth.

    5. How can I Masters In Data Science?

    To pursue a Master's in Data Science, you can start by researching universities and institutions that offer this program. Typically, you'll need a strong foundation in mathematics, statistics, and programming, so ensure you have the necessary prerequisites. Most Master's in Data Science programs require a bachelor's degree in a related field. Once you've met the admission requirements, you can apply to the program of your choice. These programs often involve a combination of coursework in machine learning, data analysis, and data visualization, as well as practical projects and internships.

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

    In our Python Data Science Course, you will gain a comprehensive understanding of Python's application in the field of data science. The course covers a wide range of topics, including data manipulation and analysis using libraries like NumPy and pandas, data visualization with tools like Matplotlib and Seaborn, and machine learning techniques using popular libraries such as scikit-learn. You'll learn how to work with real-world data sets, clean and preprocess data, build predictive models, and evaluate their performance. Additionally, the Python Data Science Course will delve into advanced topics like deep learning with TensorFlow and Keras, enabling you to tackle complex data science projects.

    Best Data Science Python Course | Brillica Services

    2nd & 3rd Floor, Brillica Services, Shimla Bypass Rd, opp. Bank of India, PNB Vihar, Majra, Shewala Kala, Dehradun, Uttarakhand 248001