Example Curriculum

  Link, passcode & update section
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  Induction class & Python installation
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  Introduction to Data analytics & starting with Python Basics
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  Variables and operations in Python
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  Excel class notes and Excel Project
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  Excel Assignment (Assignment 1), Operators in Python, Conditions in Python
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  Loops (For and While), Range and commands (Pass, Break)
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  1. One line conditions 2. One line loops 3. mini project in conditions and loops 4. Strings - part 1
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  Strings - 2 List Tuples
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  Dictionary Sets Functions in Python - Part 1
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  Functions in Python Modules in Python
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  1. Exception handling 2. Class and Objects introduction
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  Database Session 1 (Introduction to database and SQL)
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  1. Create Schema 2. Create, Alter, Drop tables 3. Primary Key and Foreign key 4. Insert into table 5. Delete data from table 6. Import data using csv
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  1. SQL Query Where clause 2. Assignment 2: Python 3. Assignment 3: SQL
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  1/ Database last part: Aggregate functions, WIndow functions, JOINS, Stored Procedures, Temporary tables, Views, Normalizations, Dimensional Modelling 2. Introduction to Statistics
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  1. Types of data 2. Measure of central tendency
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  Data analysis with: 1. One variable 2. Two variable
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  1. Analyzing 2 datasets: Numerical v Numerical 2. Box plot 3. Skewness and Kurtosis
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  1. Hypothesis 2. Z stat 3. Chi squared test
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  Probability Distribution
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  1. Array 2. Numpy: creating 2 D array and basic operations
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  1. Numpy: 2 and multi diamensional dataset 2. Numpy application in linear algebra problem 3. Pandas: Creating dataframe from various sources 4. Adding Rows and Columns to existing DataFrame
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  1. Pandas filter 2. Pandas join 3. matplotlib plots: Boxplot, Bar graph and stack bar chart
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  1. Basic data analysis with iris dataset 2. Understanding imbalanced dataset
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  1. Balancing the dataset using Pandas 2. Power BI Introduction to Data Transformation and Visualizations
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  1. Power BI Visualization and Dashboards 2. Assignment
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  1. Data Modelling 2. Data Transformation
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  1. DAX in Power BI
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  1. Python script to load data in Power BI 2. Python script to perform preprocessing in Power BI 3. Visualization using columns from different tables (related) 4. Introduction to Tableau
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  Power BI Slicers Power BI Filters Row Level Security in Power BI Introduction to Report Builder
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  1. Visualization using Tableau 2. Data preprocessing using Natural Language Processing (NLP)
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  1. Advanced Excel 2. Reading data from the Database into Python 3. Reading content of a JSON file into Python
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  21st June
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  1. Data cleaning using Pandas 2. Web scraping 3. Project on Data Cleaning 4. Additional practice questions on data cleaning
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  28th June
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  1. Projects 2. Github 3. Doubt Discussion
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  1. Introduction to Machine Learning - Part 2 2. Data preprocessing: Missing values, Categorical values and Scalling
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  1. Data Cleaning for ML 2. ML Process 3. Simple Linear Regression
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  1. Multiple linear regression 2. Logistics regression 2a. Confusion matrix 3. ML projects
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  1. Visualize Classification Result 2. KMeans Clustering algorithm
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  1. Hierarchical clustering 2. Apriori algorithm under Association 3. Introduction to Time Series
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  Time Series Analysis Part 1
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  1. Time Series Analysis Part 2 2. Additional reading material for Machine Learning
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  11th August
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  12th August
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  13th August
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  14th August
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  15th August
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  1. Introduction to AI 2. Deep Learning 3. Introduction to Cloud Computing
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  1. NLP - Data pre-processing, Word cloud and Sentiment Analysis 2. Model Deployment using Flask
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  26th August
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  Resumes building and Sample Interview Questions
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  Further Placement Assistance Process
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  6th September
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