Meritphase

Data Science

About

Our Data Science Certification Training is a structured, hands-on program designed to equip participants with the essential skills and knowledge required to excel in Data Science. The course covers Python, Machine Learning, AI, Data Analytics, Big Data, and more, ensuring you are well-prepared for leading Data Science certifications like:

  • IBM Data Science Professional Certificate
  • Google Data Analytics Professional Certificate
  • Microsoft Azure Data Scientist (DP-100)
  • DASCA Certified Data Scientist (CDS)
  • SAS Certified Data Scientist
Who Should Enroll?
  • Beginners & Students interested in Data Science
  • IT Professionals looking to transition into Data Science
  • Analysts & Engineers wanting to enhance Data Science skills
  • Business & Marketing Professionals interested in Data Analytics
  • Anyone preparing for a Data Science Certification
Key Features of Our Training Program
  • Comprehensive Hands-on Training with Real-world Projects
  • Expert-Led Sessions by Industry Professionals
  • Live Online / Classroom / Hybrid Learning Options
  • Mock Tests & Certification Exam Preparation
  • Dedicated Career Support & Placement Assistance
Course Modules & Topics

Introduction to Data Science
Understanding Data Science & Its Applications
Data Science vs. Data Analytics vs. Machine Learning
Tools & Technologies Used (Python, R, SQL, etc.)

Python & R for Data Science
Python Basics: Variables, Loops, Functions
Data Manipulation with Pandas & NumPy
Data Visualization with Matplotlib & Seaborn
R Programming Basics & Statistical Analysis


Data Analysis & Exploratory Data Analysis (EDA)
Data Cleaning & Preprocessing
Handling Missing Data & Outliers
Feature Engineering & Data Transformation

Statistics & Probability for Data Science
Descriptive & Inferential Statistics
Probability Distributions & Hypothesis Testing
Regression Analysis & Correlation

Machine Learning Fundamentals
Supervised vs. Unsupervised Learning
Regression Models (Linear, Logistic, Polynomial)
Classification Algorithms (Decision Trees, Random Forest, SVM)
Clustering (K-Means, Hierarchical Clustering)

Deep Learning & Neural Networks
Introduction to Neural Networks & Deep Learning
TensorFlow & Keras for Model Development
Convolutional Neural Networks (CNNs)
Recurrent Neural Networks (RNNs)

Natural Language Processing (NLP)
Text Preprocessing (Tokenization, Lemmatization)
Sentiment Analysis & Named Entity Recognition
Topic Modeling & Text Classification

Big Data & Cloud Computing
Introduction to Hadoop, Spark & Big Data Tools
Cloud Computing for Data Science (AWS, Google Cloud, Azure)
Handling Large Datasets & Distributed Computing

AI & Advanced Machine Learning
Reinforcement Learning Fundamentals
Transfer Learning & AutoML
Generative AI (ChatGPT, BERT, GANs)

Capstone Project & Certification Preparation
Real-World Data Science Project
Mock Exams for Data Science Certifications
Resume Building & Interview Preparation





    Data Science

    About

    Our Data Science Certification Training is a structured, hands-on program designed to equip participants with the essential skills and knowledge required to excel in Data Science. The course covers Python, Machine Learning, AI, Data Analytics, Big Data, and more, ensuring you are well-prepared for leading Data Science certifications like:

    • IBM Data Science Professional Certificate
    • Google Data Analytics Professional Certificate
    • Microsoft Azure Data Scientist (DP-100)
    • DASCA Certified Data Scientist (CDS)
    • SAS Certified Data Scientist
    Who Should Enroll?
    • Beginners & Students interested in Data Science
    • IT Professionals looking to transition into Data Science
    • Analysts & Engineers wanting to enhance Data Science skills
    • Business & Marketing Professionals interested in Data Analytics
    • Anyone preparing for a Data Science Certification
    Key Features of Our Training Program
    • Comprehensive Hands-on Training with Real-world Projects
    • Expert-Led Sessions by Industry Professionals
    • Live Online / Classroom / Hybrid Learning Options
    • Mock Tests & Certification Exam Preparation
    • Dedicated Career Support & Placement Assistance
    Course Modules & Topics

    Introduction to Data Science
    Understanding Data Science & Its Applications
    Data Science vs. Data Analytics vs. Machine Learning
    Tools & Technologies Used (Python, R, SQL, etc.)

    Python & R for Data Science
    Python Basics: Variables, Loops, Functions
    Data Manipulation with Pandas & NumPy
    Data Visualization with Matplotlib & Seaborn
    R Programming Basics & Statistical Analysis


    Data Analysis & Exploratory Data Analysis (EDA)
    Data Cleaning & Preprocessing
    Handling Missing Data & Outliers
    Feature Engineering & Data Transformation

    Statistics & Probability for Data Science
    Descriptive & Inferential Statistics
    Probability Distributions & Hypothesis Testing
    Regression Analysis & Correlation

    Machine Learning Fundamentals
    Supervised vs. Unsupervised Learning
    Regression Models (Linear, Logistic, Polynomial)
    Classification Algorithms (Decision Trees, Random Forest, SVM)
    Clustering (K-Means, Hierarchical Clustering)

    Deep Learning & Neural Networks
    Introduction to Neural Networks & Deep Learning
    TensorFlow & Keras for Model Development
    Convolutional Neural Networks (CNNs)
    Recurrent Neural Networks (RNNs)

    Natural Language Processing (NLP)
    Text Preprocessing (Tokenization, Lemmatization)
    Sentiment Analysis & Named Entity Recognition
    Topic Modeling & Text Classification

    Big Data & Cloud Computing
    Introduction to Hadoop, Spark & Big Data Tools
    Cloud Computing for Data Science (AWS, Google Cloud, Azure)
    Handling Large Datasets & Distributed Computing

    AI & Advanced Machine Learning
    Reinforcement Learning Fundamentals
    Transfer Learning & AutoML
    Generative AI (ChatGPT, BERT, GANs)

    Capstone Project & Certification Preparation
    Real-World Data Science Project
    Mock Exams for Data Science Certifications
    Resume Building & Interview Preparation





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