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    About Course

    If you're in search of the Best Data Science Course that goes beyond conventional learning, you're in the right place. Our training program is tailored to not only provide foundational knowledge but also offer the opportunity to pursue a Masters in Data Science. We understand the evolving demands of the industry and have curated a curriculum that encompasses the latest tools, techniques, and real-world applications. With a focus on hands-on experience and guided mentorship, our Data Science Training ensures you're well-equipped to thrive in the competitive landscape of Data-driven decision-making. Embark on this transformative journey with us and unlock the doors to a realm of possibilities in the field of Data Science.


    Benefits Of Doing Data Science Course From Brillica Services

    Joining the Best Data Science Course at Brillica Services comes with Many Advantages, positioning you for success in the dynamic field of Data Science. Our program goes beyond traditional learning, offering you the opportunity to earn a Masters in Data Science. This advanced certificate sets you apart in the job market, opening doors to prestigious positions and higher earning potential. Moreover, our Data Science Certification holds industry-wide recognition, validating your expertise and skills. With a curriculum designed by industry experts, you'll gain hands-on experience and real-world insights, ensuring you're well-equipped to tackle complex Data challenges. Choose Us for your Data Science journey and reap the benefits of a comprehensive and distinguished education that propels you toward a rewarding career path.

    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

    SENTIMENT ANALYSIS

    2

    DETECTING PARKINSON'S DISEASE

    3

    DETECTION OF FAKE NEWS

    4

    NEXT WORD PREDICTION

    5

    MOVIE RECOMMENDER

    6

    CUSTOMER SEGMENTATION

    who can apply

    Who Can Apply?

    Data Scientists who have a keen interest in upgrading their skills

    Information Architects

    Machine Learning professionals

    Business Intelligence professionals

    Software Developers

    Project Managers

    job roles

    Job Roles

    1

    Business Analyst

    After completing Data science course one option is Business Analyst.The role of a Business Analyst is to understand the database & applications and ustilize the data for the business growth and company profit.

    2

    Data Mining Engineer

    As completing Data Science Training, one more option is Data Mining Engineer. Data Mining engineer will be accountable for both Database & its manager, you will be the adviser for the equipments, software & application that are required for the improvement of company future and its benefits.

    3

    Data Architect

    After completing the Data Science Certification,there is Data Architect. Data Architect designs & model the database solution system to store the company data, the Data Architect does the examination to identify the prerequisites for database structure by evaluating client operations, applications, and programming

    4

    Data Scientist

    Data Scientist gather useful information from the unstructured data so that it can be used for futher Application. Data Scientist is another Best Option after completing Data Science Course.

    5

    Senior Data Scientist

    A senior Data scientist is highly qualified who adopt leading technologies in order to get high performance computation for the Organization with providing data storage soloutions.

    6

    Senior Data Architect

    A senior Data architect eliminate the complicated data system's unrelated cost to simplify the flow of data in the organization. A Senior Data Architect is another job offered after completing Masters In Data Science.

    our faculties

    Data Science Instructor

    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.

    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
    Niharika Nayak

    Niharika Nayak

    5

    My experience at Brillica is very good. The teachers are very knowledgeable and supportive in nature. Thankyou for giving me the platform or opportunity where I can learn something in this pandemic if anybody....

    Shivani Anthwal

    Shivani Anthwal

    5

    Brillica services is a great platform to learn ..superb faculty and supportive team. Great web development experience.i have learned Best Full Stack web development course from here...I am very very Thankful t....

    Ankit Singh

    Ankit Singh

    5

    Brillica Services is a great learning platform. Very nice faculty and supportive team.. I am very thankful to my trainers Mr. Vikash sir ji and Bhumika ma'am best full stack web development experience.....

    KANHAIYA SAVITA

    KANHAIYA SAVITA

    4

    Completed my web development course today and i am happy to tell that i enjoyed learning here, the learning environment was great.....

    certificate

    Certification

    Upon successfully completing our Data Science Course, you'll earn a well-deserved certificate as a recognition of your achievement. This certificate not only signifies your accomplishment but also serves as a testament to your dedication and expertise in the field of Data Science.

    Frequently Asked Questions

    1. What are the objectives of Data science masters program?

    The objective of Data science masters program is to assemble the means for extracting business-focused insights from the data. This requires an understanding of how value and information proceeds in a business and the potentiality to use the understanding to recognize the business opportunities. Examples of data science are credit card fraud monitoring solutions used by banks, or tools used in optimizing the placement of wind turbines in wind farms.

    2. Why to become a data scientist?

    Data scientists are the specialists who use their expertise in both the technology and social science to come across drifts and manage the data. They utilize industry information,circumstantial understanding, apprehension of existing assumptions – to uncover answers for business challenges. Employed as a data scientist can be intellectually challenging as well as analytically satisfying.

    3. What important skills you will learn in the data science training course?

    Data science training course in Brillica Services offers a huge set of tools for working with data coming from a different source, such as financial logs, multimedia files, marketing forms, sensors, and text files. An important characteristic of Data Science is the structure of data for analyses, including cleaning, aggregating, and manipulating it to perform advanced analyses.

    4. Who can apply for the data science training course?

    Anyone can apply for the Data science training course like IT graduates including BCA, MCA, BBA, and MBA, Btech, Mtech, B.Sc(IT), M.Sc(IT) graduates and PhD holders. We provide the best opportunities for all working professionals also with live data science training.

    5. what are the pre-requisites for the data science certification training?

    It is very important to understand why some people are very good in Data science domain and others cannot, though having a good knowledge of data science training. Some important points one should have knowledge of about before diving into the data science domain are: 1.Knowledge of Data 2.Knowledge of algorithms/logic 3.Knowledge of programming languages 4.Knowledge of Statistics 5.Knowledge of business domain Of the above-described points, if anyone is not aware of anyone one of them, it is better to have a good knowledge about those concepts first and then think to start the data science course.

    6. What are the opportunities after the completion of data science training course?

    It is very important to understand why some people are very good in Data science domain and others cannot, though having a good knowledge of data science training. Some important points one should have knowledge of about before diving into the data science domain are: 1.Knowledge of Data 2.Knowledge of algorithms/logic 3.Knowledge of programming languages 4.Knowledge of Statistics 5.Knowledge of business domain

    7. What opportunities does Brillica Services provide?

    Brillica Services provides 100% Job Assistance guarantee to the students who aims to gear up their career in various trending sectors. Brillica Services also prepare students for the interview questions trending in the respective fields.

    8. Why choose Brillica Services for Data Science Training Course?

    Brillica Services provides the best project based data science certification training course. Best data science course is suitable for any IT graduates having basic understanding of mathematics and statistics. Although it is not mandatory but having knowledge will be more beneficial. Brillica Services provides the best online and offline courses with Masters in data science.