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Here you will find a repository of all training materials and class recordings. You will be able to access these resources anytime. In event of any issues, please reach out to JJTech support at contact@jjtechinc.co.
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Course Features
- Lectures 31
- Quizzes 0
- Duration 10 weeks
- Skill level All levels
- Language English
- Students 0
- Certificate No
- Assessments Yes
Curriculum
- 10 Sections
- 31 Lessons
- 10 Weeks
Expand all sectionsCollapse all sections
- Click ME for Runbooks :1
- Lesson 01 : Introduction2
- Lesson 02 : SQL6
- 3.12.01 Introduction to different database systems and Introduction to SQL –> July-6-2023
- 3.22.02 SQL Hands On – Select statements, where clause, aggregations –> July-11-2023
- 3.32.03 SQL Hands On – Operators, Build in functions, Group by –> July-13-2023
- 3.42.04 SQL Hands On – Group by, CTEs, Sub-queries, Joins –> July-18-2023
- 3.52.05 SQL Hands On – Data Imports using pgAdmin4, Set theory, Union, Intersection, Except –> July-20-2023
- 3.62.06 SQL Hands On – Case Statements, Rank, Dense Rank and Row Numbers, Installation of Tableau –> July-25-2023
- Lesson 03 : Tableau5
- 4.13.01 Tableau – Creating Calculated Fields,Adding Colors,Adding labels and formatting,Working with Data Extracts in Tableau –> July-27-2023
- 4.23.02 Tableau – Filter and Highlighter, Creating Scatter Plot and Area Charts, Maps and Hierarchy –> August-1-2023
- 4.33.03 Tableau – Customer Segmentation Dashboard –> August-8-2023
- 4.43.04 Tableau – Customer Segmentation Dashboard –> August-10-2023
- 4.53.05 Tableau – Customer Segmentation Dashboard Analysis, Storytelling. Custom geography and Clusting algorithms –> August-15-2023
- Lesson 04 : Python & Boto36
- 5.14.01 Python – Inroduction, Compiler vs Interpreter, Coding vs Scripting, Data Types, Type Conversion and Operators –> August-17-2023
- 5.24.02 Python – Lists, Strings, String Formatting, Tuples, Indexing and Slicing list and tuple, CRUD methods in list and tuples –> August-24-2023
- 5.34.04 Python – Conditions and Loops, for loop, while loop, break, continue, list comprehensions, set comprehensions, Python Functions –> August-31-2023
- 5.44.03 Python – Sets, Dicts, Conditional Statements, For loops –> August-29-2023
- 5.54.05 Python – Python Functions Arguments, Variable arguments, recursive functions, lambda functions, AWS boto3 introduction –> September-5-2023
- 5.64.06 Introduction to boto3 API, working with S3 and boto3, creating s3 buckets, uploading files to s3 bucket, writing objects to s3, reading data back from S3, Introduction to AWS Lambda Functions, working with aws lambda with triggers from s3 –> September-19-2023
- Lesson 05 : Athena1
- Lesson 06 : Kineses2
- 7.16.01 Introduction to Kinesis Data Streams and deep dive insight Kinesis data stream, Introduction to DynamoDB and deep drive into DynamoDB, working session with Kinesis stream producer, kinesis stream, aws lambda and dynamoDB –> September-28-2023
- 7.26.02 Introduction to Kinesis DataFirehose, working session with Kinesis stream producer, kinesis stream, kinesis data firehose, glue catalog , aws lambda and dynamoDB –> October-3-2023
- Lesson 07 : Pandas3
- Lesson 08 : Statistics for Data Science4
- 9.18.01 Statistics for Data Science – population, Sample, Type of Data, Type Measurement levels, Measures of Central Tendencies etc –> October-19-2023
- 9.28.02 Statistics for Data Science – Measures of Central Tendencies etc, Skewness, variance, standard deviation, covariance, correlation coefficient etc. –> October-24-2023
- 9.38.03 Statistics for Data Science – Probability distribution, Uniform distribution, Normal Distributions –> October-26-2023
- 9.48.04 Statistics for Data Science – Standard Normal Distributions, Standardization, Central Limit theorem, Z score, T distribution and T score, Confidence intervals for known and unknown population variance — >31-Oct-2023
- Lesson 09 : Machine Learning1
