Change the traditional approach to learning Business Analyst. Instead of spending months on maths and theory, focus on projects, practical skills and tech that in in-demand
We brought together some of the of best data scientists, AI and ML entrepreneurs, Kaggle grand masters to create Industry best courses and projects for you to build a 🤘 ROCKSTAR Business Analyst in you.
✔ Learn Basic formatting, and different Data Types in Excel.
✔ Learn Analytical and Aggregate Functions in Excel.
✔ Learn Text, Logical, and Statistical Functions in Excel.
✔ Learn about Data Cleaning and Preparation Functions.
✔ Learn to make Pivot Tables and Pivot Charts in Excel.
✔ Learn Data Visualizations and Dashboarding in Excel.
✔ Learn to create a Databases, and Tables with proper validations and Constraints.
✔ Learn different types of Joins in SQL.
✔ Learn to Handle Complex Queries using Sub Queries in SQL.
✔ You will learn to create simple dashboards.
✔ You will learn about the dimensions, measures and filtering data.
✔ You will learn to prepare the Charts, and Maps.
✔ You will learn about the Formatting Pane, Styling, Customizing tooltip and mark labels, etc.
✔ You will learn about managing data, Data extraction, Joins and blending, etc.
✔ You will learn about sorting, groups, hierarchies, sets, data filters.
✔ You will learn about maps, layers, geocoded fields, WMS, etc.
✔ You will learn about storytelling, dashboards, Containers, dashboard actions.
✔ Learn about Variables, Data Types, and Operators in Python.
✔ Manipulate Python strings using In-built functions.
✔ Understand the Concept of Loops and Conditionals.
✔ Learn Data Structures for solving complex problems.
✔ Learn about Lists, Tuples, Dictionaries, Sets, Stacks and Queues.
✔ Learn Sorting, and Searching Algorithms.
✔ Learn about Date and Times and Regular Expressions.
✔ Learn Numpy for Complex Mathematical Operations.
✔ Learn Pandas in depth for Data Frame Manipulation.
✔ Learn Bayes Theorem, Basic and Conditional Probabilities.
✔ Learn Normal Distributions, Skewness, and QQ Plots.
✔ Learn Central Limit theorem, and Confidence Intervals.
✔ Learn the Types of Error in Hypothesis Testing.
✔ Learn to implement t-Test, z-Test and their types.
✔ Learn ANOVA, Chi squared Goodness Tests, and Chi square Test of Independence.
✔ Learn to analyze the Target Data using the Dabl library.
✔ Learn Pandas Profiling for analyzing the whole data at once.
✔ Learn about the Sweet Viz for Comparing Datasets.
✔ Learn to Handle Missing values in a Real-world Scenario.
✔ Learn to Handle Outliers in a Real-world Scenario.
✔ Learn Data Manipulation Functions for Cleaning the Data.
✔ Perform Grouping Operations and Filtering Operations.
✔ Perform Interactive Query Analysis using Ipy Widgets.
✔ Learn Cross Tabulation using Cross Tabs.
✔ Learn to Extract Features from Dates and Times.
✔ Learn to Extract Features from Numerical Data and Categorical Data.
✔ Learn Advanced Functions to Extract New Features from the Data.
✔ Implement Machine Learning Algorithms.
✔ Learn Regularization Techniques such as Ridge, Lasso, and Elastic Net.
✔ Learn Feature Selection, Hyper Parameter Tuning for Improving the Model.
✔ Implement Decision Trees and Random Forestsusing Sklearn.
✔ Learn Gini Index and Information Gain.
✔ Understand the working of Random Forests and Decision Trees in Depth.
✔ Understand the Concept of Boosting using Ada Boosting Gradient Boosting.
✔ Learn to implement the XG Boost Model.
✔ Learn about the Ensembling Techniques used to Enhance Accuracy of Predictive Models.
✔ Understand the Concept of Over Sampling and Under Sampling.
✔ Implement Over Sampling and Under Sampling Techniques.
✔ Using XG Boost for Imbalanced Data sets.
✔ Understand the Working of K Means, Hierarchical, and DBSCAN Clustering.
✔ Implement K Means, Hierarchical, and DBSCAN Clustering using Sklearn.
✔ Learn Evaluation Metrics for Clustering Analysis.
✔ Learn Techniques used for Treating Dimensionality.
✔ Implement Correlation Filtering, VIF, and Feature Selection.
✔ Implement PCA, LDA, and t-SNE for Dimensionality Reduction.
✔ Learn to Process and Prepare a Time Series Data.
✔ Learn Advanced AR Models ARIMA, ARIMAX, SARIMA, and SARIMAX.
✔ Learn Evaluation Metrics for Time Series Models.
Meet some of our Extremely Talented and Hardworking Alumnis at DataisGood Career Transition Programs who achieved their Dream Jobs as a Data Scientist and Data Analyst in some of the Most Reputed MNCs and Startups.