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Data Science

Python for Data Science

  1. Introduction to Python

    • Python basics, variables, data types, operators, input/output.

  2. Data Types and Structures

    • Lists, tuples, dictionaries, sets.

  3. Control Flow Statements

    • Conditional statements (if-else), loops (for, while).

  4. Functions and Modules

    • Defining functions, arguments, return values, importing modules.

Data Manipulation and Analysis

  1. File I/O Operations

    • Reading/writing files (CSV, JSON), file handling best practices.

  2. SQL for Data Science

    • Basic SQL queries, joins, aggregations, subqueries, cursors, triggers.

  3. NumPy

    • Array operations, mathematical functions, linear algebra.

  4. Pandas

    • DataFrames, Series, data cleaning, manipulation.

Statistics and Data Visualization

  1. Descriptive Statistics

    • Mean, median, mode, variance, standard deviation.

  2. Inferential Statistics

    • Hypothesis testing, p-values, confidence intervals.

  3. Data Visualization with Matplotlib

    • Line plots, bar charts, scatter plots.

  4. Data Visualization with Seaborn

    • Heatmaps, pair plots, advanced visualizations.

Course Duration

120 hours

Note: The course may be subject to change based on the student’s understanding of the course and the instructor’s discretion.

ML Fundamentals

  1. Introduction to Machine Learning

    • Types of ML (supervised, unsupervised), ML workflow.

  2. Supervised Learning

    • Linear regression, logistic regression.

  3. Unsupervised Learning

    • Clustering (K-Means), dimensionality reduction (PCA).

  4. Model Evaluation

    • Accuracy, precision, recall, F1 score, ROC-AUC.

Advanced Topics

  1. Natural Language Processing (NLP)

    • Text preprocessing, sentiment analysis.

  2. Deep Learning Fundamentals

    • Neural networks, activation functions, backpropagation.

  3. Big Data Technologies

    • Hadoop, Spark.

  4. Cloud Platforms for Data Science

    • AWS, Google Cloud, Azure.

Capstone Project and Deployment

  1. Capstone Project

    • End-to-end data science project (data cleaning, analysis, modeling, visualization).

  2. Model Deployment

    • Deploy ML models using Flask or Streamlit.

  3. Career Preparation

    • Resume building, interview preparation, portfolio development.

Career Opportunities After Chedo Tech’s 6-Month Data Science Course

Chedo Tech’s 6-month Data Science course prepares you for in-demand tech careers:

Data-Focused Roles:

  • Data Scientist: Analyze data, build predictive models, derive insights (Python, machine learning, statistics, visualization, big data). Industries: Healthcare, finance, e-commerce, retail.
  • Data Analyst: Collect, clean, analyze data for data-driven decisions (SQL, Pandas, data cleaning, visualization). Industries: Marketing, consulting, logistics, tech.
  • Business Intelligence Analyst: Identify trends, create dashboards, support strategic decisions (Data visualization, SQL, statistics). Industries: Finance, consulting, retail.
  • Data Engineer: Build & maintain data pipelines (Big data tools, SQL, cloud platforms). Industries: Tech, startups, enterprises.
  • Cloud Data Specialist: Manage & analyze cloud data (Google Cloud, AWS, Azure, big data). Industries: Cloud providers, tech, startups.
  • Data Visualization Specialist: Create compelling data visualizations (Matplotlib, Seaborn, Tableau, Power BI). Industries: Media, marketing, consulting.
  • Freelance Data Consultant: Provide data analysis, modeling, visualization services (All data science skills, project management). Industries: Any with data needs.

AI/ML Roles:

  • Machine Learning Engineer: Design, build, deploy ML models (Scikit-learn, TensorFlow, Keras, model deployment). Industries: AI startups, tech giants, research.
  • NLP Engineer: Develop algorithms for text processing (NLP, Python libraries). Industries: Social media, customer service, AI.
  • AI Research Scientist: Conduct research on advanced AI algorithms (Deep learning, neural networks, advanced ML). Industries: Research labs, universities, tech.

 

Why Data Science? High demand, lucrative salaries, diverse opportunities, continuous learning.

Chedo Tech’s Advantage: Hands-on projects, industry-relevant tools, career support, expert guidance.

Start your data science journey! Enroll in Chedo Tech’s 6-month course for a rewarding career.

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