Data Science Online Certification Course Details

S.No	COURSE	CONTENT	EXPLANATION
1.	Data Analysis with Python, Coursera, authorized by IBM with IBM Digital Badge.	·    Basics of Data ·     Data Wrangling · Exploratory Data Analysis ·     Model Development ·     Model Evaluation	·    Basic insights from the data. ·    Cleaning the data in order to prepare the data for further analysis that includes imputing missing values and data normalization. ·    Gained better understanding by uncovering relationship between the variables from visualization plots and statistical tests. ·    Built Linear Regression, Polynomial Regression models and also created a pipeline to simply the process. ·    Evaluated the model and applied necessary regularization techniques for further enhancement of the model.

2.

Python+SQL+Tableau: Integrating Python, SQL and Tableau.

·   Software Integration ·     Data Pre-processing ·     Machine Learning ·     Integrating Python and MySQL ·     Analysis in Tableau

·     A brief about software integration, Client - Server model and data connectivity. ·     Cleaning the data that includes treating missing values and formatting the data types of the variables. ·     Developed Logistic Regression model. ·     Saved the model by pickling. Created a database in MySQL and moved the dataset from Jupyter to SQL workbench using pymysql package, created a connection and cursor and created a table for the predicted outputs of the model ·     Analysed the predicted output of the model using Tableau.

3.

49 charts in Tableau – Basic to Intermediate, Udemy

·     Charts  ·     Maps  ·     Tables ·     Calculations

·     Histogram, Dual Axis Chart, Funnel Chart, Dumbbell Chart, Donut Chart, Bullet Chart, Bump Chart, Scatter Plot, Animations in Line and Column Chart, Pareto Chart. ·     Filled Map, Tree Map, Symbol Map, Word Map, Conditional Maps, Map with Pie Chart, Heat Map ·     Calendar, Text Table with single and multiple measures ·     Basic Table Calculations.

4.

Tableau 10 Advanced Training: Master Tableau in Data Science, Udemy

·    Dashboards & Stories ·    Data Preparation & Analysis · Level of Detail Calculation

·     Time Series, Aggregation, Filters, Groups and Sets, Creating Parameters, Data Blending, Creating Dashboards and Stories ·     Advanced Data Preparation and Analysis in Tableau. ·     Include, Exclude and Fixed.

5.

Advanced Tableau – Level of Detail Expressions/LOD, Udemy

· Introduction and Basics of Level of Detail Expressions · Intermediate &   Advanced LOD  Projects ·      Nested LOD  Expressions

·     Performing calculations at a different level of detail than the view. Finding Dates and Adjusting the Timeline with LOD calculations. ·     Binning Aggregates, Conditional Binning, Cohort Analysis, User Retention Tracking, Data Density Issues, Market Basket Analysis, Benchmark Performance Alert, Changing LOD of Maps, · Nesting INCLUDE, EXCLUDE and FIXED.