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Data Analyst

NITD's Trainer 2/3/4/6 Months

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Dive into the world of data analysis! This course equips you with the skills to extract insights from vast datasets. Learn powerful tools like Python, SQL, and Excel to clean, analyze, and visualize data. Master storytelling techniques to communicate your findings effectively. Gain a competitive edge in today's data-driven world.

Course Content:
  • Introduction to Data Analysis
  • Data Collection and Cleaning
  • Exploratory Data Analysis (EDA)
  • Descriptive Statistics
  • Inferential Statistics
  • Data Visualization
  • Introduction to Machine Learning
  • Supervised Learning Algorithms (Linear Regression, Logistic Regression, Decision Trees)
  • Unsupervised Learning Algorithms (Clustering, Principal Component Analysis)
  • Feature Engineering
  • Evaluation Metrics
  • Model Deployment and Interpretation
Tools and Technology:
  • Python (NumPy, Pandas, Matplotlib, Seaborn)
  • R Programming Language
  • SQL (Structured Query Language)
  • Excel and Google Sheets
  • Jupyter Notebook
  • Tableau
  • Power BI
  • Scikit-learn
  • TensorFlow
  • Keras
  • Apache Spark
  • Apache Hadoop

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