Welcome to ASTECH

WELCOME TO ASTECH INSTITUTE OF IT & MANAGEMENT

DIPLOMA IN DATA ANALYSIS ( S-AS-05 )

BASIC INFORMATION

  • Course Fees : 14000.00 17999.00/-
  • Course Duration : 4 MONTH
  • Minimum Amount To Pay : Rs.8000.00
  1. Introduction to Data Analysis
    • Overview of data analysis and its significance
    • Introduction to common tools and techniques
    • Basics of data visualization
  2. Data Acquisition and Preprocessing
    • Data collection methods
    • Data cleaning and preprocessing techniques
    • Handling missing data
    • Data integration and transformation
  3. Exploratory Data Analysis (EDA)
    • Descriptive statistics
    • Data summarization and visualization
    • Univariate, bivariate, and multivariate analysis
    • Outlier detection and treatment
  4. Data Visualization
    • Introduction to data visualization libraries (e.g., Matplotlib, Seaborn)
    • Plotting histograms, scatter plots, bar charts, and box plots
    • Customizing plots for effective communication
  5. Statistical Analysis
    • Probability distributions
    • Hypothesis testing (e.g., t-tests, chi-square tests)
    • Correlation and regression analysis
    • ANOVA (Analysis of Variance)
  6. Data Mining Techniques
    • Introduction to machine learning algorithms
    • Supervised learning (classification and regression)
    • Unsupervised learning (clustering, dimensionality reduction)
    • Evaluation metrics
  7. Time Series Analysis
    • Introduction to time series data
    • Trend analysis
    • Seasonality and periodicity
    • Forecasting techniques
  8. Text Analytics
    • Preprocessing text data (tokenization, stemming, lemmatization)
    • Text mining techniques (topic modeling, sentiment analysis)
    • Natural Language Processing (NLP) libraries
  9. Big Data Analytics
    • Introduction to big data concepts
    • Distributed computing frameworks (e.g., Hadoop, Spark)
    • Handling large datasets
  10. Data Ethics and Privacy
    • Ethical considerations in data analysis
    • Data privacy laws and regulations
    • Ensuring data security and confidentiality
  11. Data Visualization and Dashboarding Tools
    • Introduction to data visualization tools (e.g., Tableau, Power BI)
    • Building interactive dashboards
    • Storytelling with data
  12. Project Work
    • Applying learned concepts to real-world datasets
    • Developing analytical solutions to solve business problems
    • Presenting findings and insights

FOR GRADUATION STUDENTS OR APPERING STUDENTS