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Data Science Training Program

Turn data into actionable insights and power business decisions

Become a certified data scientist with our comprehensive course!

Course Overview

Our Data Science program equips you with the skills to analyze complex datasets, build predictive models, and deliver data-driven insights. From fundamentals of statistics to advanced machine learning algorithms, we cover everything you need to launch your career as a data scientist.

Duration

16 Weeks (Full-time) / 24 Weeks (Part-time)

Batch Size

Maximum 20 students

Prerequisites

Basic programming knowledge, mathematics fundamentals

Certification

Industry-recognized certification upon completion

Data Science Overview

Course Curriculum

Our comprehensive curriculum is designed by industry experts to ensure you master the most in-demand data science skills.

Python Basics Foundation

  • 1. Python Basics
    • 1.1. Syntax
    • 1.2. Control Flow
    • 1.3. Data Structures
    • 1.4. Functions
    • 1.5. File I/O
  • 2. Advanced Python
    • 2.1. Decorators and Generators
    • 2.2. Context Managers
    • 2.3. Threading and Multiprocessing
    • 2.4. Regular Expressions
    • 2.5. Testing Frameworks
    • 2.6. Package Development
  • 3. Data Analysis
    • NumPy
      • Arrays and Vectorization
      • Array Operations
      • Broadcasting
      • Linear Algebra

Data Analysis & Visualization

  • 1. Pandas
    • 1.1. Series and DataFrames
    • 1.2. Data Cleaning
    • 1.3. Data Transformation
    • 1.4. Group Operations
    • 1.5. Time Series Analysis
  • 2. Data Visualization
    • 2.1. Matplotlib
    • 2.2. Seaborn
    • 2.3. Plotly
    • 2.4. Dashboard Creation with Dash
    • 2.5. Interactive Visualizations
  • 3. Exploratory Data Analysis
    • 3.1. Statistical Summaries
    • 3.2. Correlation Analysis
    • 3.3. Outlier Detection

Statistical Methods

  • 1. Probability
    • 1.1. Random Variables
    • 1.2. Probability Distributions
    • 1.3. Central Limit Theorem
  • 2. Inferential Statistics
    • 2.1. Hypothesis Testing
    • 2.2. Confidence Intervals
    • 2.3. A/B Testing
    • 2.4. Statistical Power
  • 3. Regression Analysis
    • 3.1. Linear Regression
    • 3.2. Multiple Regression
    • 3.3. Polynomial Regression
    • 3.4. Regularization Techniques

Machine Learning

  • 1. Supervised Learning
    • 1.1. Classification Algorithms
    • 1.2. Regression Algorithms
    • 1.3. Support Vector Machines
    • 1.4. Decision Trees & Random Forests
    • 1.5. Ensemble Methods
  • 2. Unsupervised Learning
    • 2.1. Clustering
    • 2.2. Dimensionality Reduction
    • 2.3. Anomaly Detection
    • 2.4. Principal Component Analysis
  • 3. Model Evaluation
    • 3.1. Cross-Validation
    • 3.2. Hyperparameter Tuning
    • 3.3. Performance Metrics
    • 3.4. Feature Selection

Deep Learning & AI

  • 1. Neural Networks
    • 1.1. Perceptrons
    • 1.2. Backpropagation
    • 1.3. Activation Functions
    • 1.4. Loss Functions
  • 2. Deep Learning Frameworks
    • 2.1. TensorFlow
    • 2.2. PyTorch
    • 2.3. Keras
  • 3. Advanced Deep Learning
    • 3.1. Convolutional Neural Networks (CNN)
    • 3.2. Recurrent Neural Networks (RNN)
    • 3.3. Long Short-Term Memory (LSTM)
    • 3.4. Generative Adversarial Networks (GAN)
    • 3.5. Transfer Learning

Big Data Technologies

  • 1. Big Data Ecosystem
    • 1.1. Hadoop
    • 1.2. Spark
    • 1.3. NoSQL Databases
    • 1.4. Data Lakes
  • 2. Data Processing
    • 2.1. Batch Processing
    • 2.2. Stream Processing
    • 2.3. Lambda Architecture
  • 3. Cloud Data Platforms
    • 3.1. AWS Data Services
    • 3.2. Google Cloud Platform
    • 3.3. Azure Data Solutions
    • 3.4. Databricks

Book a Free Session

Reserve your spot in our upcoming free Data Science training session and discover how our program can help advance your career.

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Career Progression

Follow your journey from entry-level positions to advanced roles in the data science industry

Beginner Level

0-2 Years

Intermediate Level

2-5 Years

Advanced Level

5+ Years

Junior Data Analyst

Analyze data sets to identify trends and create basic visualizations

Average Salary: £35,000 - £45,000

Business Intelligence Analyst

Create reports and dashboards to support business decision-making

Average Salary: £38,000 - £48,000

Junior Data Scientist

Build and implement basic machine learning models

Average Salary: £40,000 - £50,000

Data Scientist

Develop complex predictive models and perform statistical analysis

Average Salary: £55,000 - £70,000

Data Engineer

Build and optimize data pipelines and infrastructure

Average Salary: £60,000 - £75,000

Machine Learning Engineer

Design, build and productionize machine learning systems

Average Salary: £60,000 - £78,000

Lead Data Scientist

Lead teams and develop advanced AI solutions for complex problems

Average Salary: £75,000 - £95,000

Director of Data Science

Direct data science strategy and oversee multiple teams

Average Salary: £85,000 - £110,000

Chief Data Officer

Drive organization-wide data strategy and governance

Average Salary: £100,000 - £150,000+

Ready to Start Your Data Science Journey?

Join our next batch and transform your career with in-demand skills.

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What Our Students Say

The hands-on projects really helped me understand complex ML algorithms. Within 3 months of completing the course, I landed a job as a junior data scientist!

Sarah Johnson

Data Scientist at TechCorp

Coming from a non-technical background, I was worried about keeping up. The instructors were incredibly supportive, and the curriculum was well-structured for beginners.

Michael Chen

Data Analyst at FinTech Solutions

Frequently Asked Questions

Do I need programming experience to take this course?

While some basic programming knowledge is helpful, our course starts with Python fundamentals to ensure everyone can follow along. If you're completely new to programming, we recommend taking our introductory Python course first.

How much time should I dedicate per week?

For the full-time program, expect to dedicate 30-40 hours per week. For the part-time program, we recommend 15-20 hours per week including classes and assignments.

Will there be job placement assistance?

Yes, we offer comprehensive career support including resume building, interview preparation, and connections with our hiring partners. Our placement rate is over 85% within three months of course completion.

Is there a certificate upon completion?

Yes, upon successfully completing the course and final project, you'll receive an industry-recognized Data Science certification from White Fire.

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