• Overview of Data Analytics Course
• Definition and importance
• Types of data (qualitative vs quantitative)
• Types of Data Analytics Course (descriptive, inferential, predictive, prescriptive)
• Basic Concepts: Data Analytics Course, information, and knowledge
• Variables and datasets
• Data collection methods

Enroll in our Data Analysis Institute in Tilak Nagar to master data-driven decision-making, analytics tools, and business intelligence with hands-on training.

• Types of Data: Structured vs unstructured data, Primary vs secondary data
• Data Collection Methods: Surveys, experiments, observational data, web scraping, databases, and APIs
• Data Cleaning: Handling missing values, Dealing with outliers, Normalization and standardization
• Data Transformation: Aggregating and summarizing data, Feature engineering, Data encoding

Enroll in our Data Analysis Institute in Tilak Nagar to master data-driven decision-making, analytics tools, and business intelligence with hands-on training.

• Descriptive Statistics: Measures of central tendency, Measures of spread, Frequency distributions
• Probability Basics: Probability distributions, Conditional probability, Bayes’ theorem
• Inferential Statistics: Sampling methods, Hypothesis testing, Regression Analytics basics

Enroll in our Data Analysis Institute in Tilak Nagar to master data-driven decision-making, analytics tools, and business intelligence with hands-on training.

• Exploratory Data Analytics (EDA): Visualization techniques, Detecting trends and patterns, Identifying outliers
• Correlation and Causation: Pearson and Spearman correlation, Causality vs correlation
• Regression Analytics: Simple linear regression, Multiple regression Analytics, Model evaluation
• Classification and Clustering: Supervised learning (decision trees, k-nearest neighbors), Unsupervised learning (k-means, hierarchical clustering)
• Time Series Analytics: Forecasting models, Trend and seasonality Analytics

Enroll in our Data Analysis Institute in Tilak Nagar to master data-driven decision-making, analytics tools, and business intelligence with hands-on training.

• Importance of Visualization: Why visualize data? Types of visualizations
• Visualization Tools: Matplotlib, Seaborn, ggplot2, Excel, Power BI
• Creating Effective Visualizations: Bar charts, histograms, scatter plots, dashboards
• Interpreting Visualizations: Analyzing data through visual representations

Enroll in our Data Analysis Institute in Tilak Nagar to master data-driven decision-making, analytics tools, and business intelligence with hands-on training.

• Hypothesis Testing: Null hypothesis, Type I/II errors
• Statistical Tests: t-tests, chi-square tests, ANOVA, Z-tests
• Regression Analytics: Simple and multiple regression, Interpretation of coefficients
• Correlation and Causation: Pearson and Spearman rank correlation

Enroll in our Data Analysis Institute in Tilak Nagar to master data-driven decision-making, analytics tools, and business intelligence with hands-on training.

• Time Series Analytics: Introduction, Trend and seasonality, Forecasting with ARIMA
• Classification and Clustering: K-means, Decision trees, Random Forests, SVM
• Dimensionality Reduction: PCA, Feature selection techniques

Enroll in our Data Analysis Institute in Tilak Nagar to master data-driven decision-making, analytics tools, and business intelligence with hands-on training.

• Introduction to Machine Learning: Supervised vs Unsupervised learning
• Model Evaluation: Accuracy, Precision, Recall, F1-score
• Cross-validation, train-test splits

Enroll in our Data Analysis Institute in Tilak Nagar to master data-driven decision-making, analytics tools, and business intelligence with hands-on training.

• Introduction to SQL for Data Analytics Course: Basic queries, Aggregate functions, Subqueries
• NoSQL Databases: Working with MongoDB, Cassandra

Enroll in our Data Analysis Institute in Tilak Nagar to master data-driven decision-making, analytics tools, and business intelligence with hands-on training.

• Python for Data Analytics: Pandas, Numpy, Matplotlib, Seaborn
• R for Data Analytics: Introduction to R, dplyr, ggplot2

Enroll in our Data Analysis Institute in Tilak Nagar to master data-driven decision-making, analytics tools, and business intelligence with hands-on training.

• Project-Based Learning: Hands-on projects, Real-world datasets (Kaggle, government data)
• Reporting and Communication: Presenting findings, Communicating insights

Enroll in our Data Analysis Institute in Tilak Nagar to master data-driven decision-making, analytics tools, and business intelligence with hands-on training.

• Ethical Issues: Bias, Responsible data use
• Data Privacy: GDPR, Ethical considerations in data sharing

Enroll in our Data Analysis Institute in Tilak Nagar to master data-driven decision-making, analytics tools, and business intelligence with hands-on training.

• Advance excel
• Dashboard(using Excel)
• VBA Macro
• RDBMS
• SQL Basic
• SQL Advance
• Basic Python
• Data Analytics Course with Python
• Data Visualization using Python
• Data Analytics Course using Power BI
• Data Analytics Course with Power BI
• Data Visualization using Power BI
• Tubule
• Statics Function

Enroll in our Data Analysis Institute in Tilak Nagar to master data-driven decision-making, analytics tools, and business intelligence with hands-on training.