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Item Details | Price |
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Harness the power of data and AI to drive intelligent insights.
Instructor: Somil Deshmukh
Language: English,hindi
Validity Period: Lifetime
Description:
This course covers the essentials of data science analytics with a focus on artificial intelligence techniques. From data processing to machine learning algorithms, you will learn how to extract valuable insights and make data-driven decisions.
Key Highlights:
What you will learn:
Data Quality and Data Privacy | |||
Excel Introduction | |||
Working with Excel | |||
Working with excel (day2) | |||
Excel : Working with formulas ad function | |||
Excel-Formula-Function-assignment | |||
Excel : data cleaning & Wrangling | |||
Excel : Data Wrangling and Cleaning -2 | |||
Excel : Filtering and Sorting Data | |||
Excel-Cleaning Data-Assignment2 | |||
Excel : working on important function | |||
DataNov24 | |||
Excel : Vlookup & Hlookup | |||
Excel-Filtering-Sorting-Vlookup-HLookUp-Assognment3 | |||
Excel Vlookup Hlookup (day2) | |||
Recording - Excel: VLookUp & HLookUp (day2) 26:00 | |||
Infographics of Data science and Analytics | |||
Excel : working with Pivot | |||
Excel : working on charts | |||
Excel-Pivot Assigment-4 | |||
Excel: Working on charts (day2) | |||
Excel: working on advance charts | |||
Excel-Creating Basic Charts-Assignment5 | |||
Excel : working with adv charts | |||
Creating Advanced Charts-Assignment6 | |||
Excel : Working on DashBoard | |||
Excel:working with Dashboard Day2 | |||
Python Installation | |||
How to Install Python | |||
Python : First Program | |||
PY0101EN-1-1-Write_your_first_python_code | |||
Python: Expression + Strings | |||
Python: String | |||
PY0101EN-1-2-Strings-20230410-1681084800.jupyterlite | |||
Python : String assignment (day2) | |||
Python : Tuple assignment | |||
PY0101EN-2-1-Tuples | |||
Python : List working & Assignment | |||
PY0101EN-2-2-Lists | |||
Python : Working with Set | |||
PY0101EN-2-3-Sets | |||
Python : working with dictonary | |||
PY0101EN-2-4-Dictionaries-20230526-1685059200.jupyterlite | |||
Python : Condition and Branching | |||
PY0101EN-3-1-Conditions | |||
Python: Working on Loops | |||
PY0101EN-3-2-Loops | |||
Assignment discussion | |||
Python : working on Functions (day2) | |||
PY0101EN-3-3-Functions | |||
Python : working on function (day2) | |||
Python : Classes' and Object | |||
Python Classes and Object (day2) | |||
Python : Classes Object assignment | |||
PY0101EN-3-4-Classes | |||
Python : Exception Handling assignment | |||
3-1.2ExcecptionHandling (1) | |||
Python : read file | |||
PY0101EN-4-1-ReadFile | |||
Python: Writing to file | |||
PY0101EN-4-2-WriteFile | |||
Python : Writing into file (day2) | |||
Working on one dimensional array | |||
PY0101EN-5-1-Numpy1D1 | |||
Python : One dimension assignment | |||
Assignment discussion | |||
Python : 2 dimensional array | |||
PY0101EN-5-2-Numpy2D | |||
Python: Working on Pandas | |||
PY0101EN-4-3-LoadData | |||
resume building | |||
python : working with different files | |||
PY0101EN-5.4_WorkingWithDifferentFileTypes | |||
Python : working with different files (day2) | |||
Python : working with binary files | |||
SQL-Solved-Queries | |||
SQl-Query-Part2 | |||
Python : Working on API | |||
PY0101EN-5.1_Intro_API | |||
Python : Working on API Day2 | |||
Python : Working on Rest API | |||
REST API Assignment | |||
PY0101EN-5.2_API_2.v2 | |||
PY0101EN-5.3_Requests_HTTP | |||
Recording - Working with API (Day2) 52:00 | |||
Data Analysis Introduction | |||
Data Analysis Importing Data | |||
Lab 1Importing Datasets | |||
Data Wrangling | |||
Data cleaning and Wrangling assignment | |||
Assignment checking | |||
Data Analysis : Exploratory data | |||
Data Analysis : Explatory Data (Day2) | |||
Recording - Data Analytics : Binning 40:00 | |||
DA0101EN-3-Review-Exploratory-Data-Analysis | |||
Data Anaylsis: Correlation and correlation statistics | |||
Data Analysis : Assignment discussion | |||
Data Visualization Introduction | |||
Data Visualization day2 | |||
Data Vis: Working on MatplotLib | |||
Data Vis: working on Pandas | |||
Lab Exploring and Pre-processing a Dataset using Pandas | |||
Data Vis: Working on MatplotLib (Day2) | |||
Data Vis : Matplot Lib assignment (day2) | |||
Lab Introduction to Matplotlib and Line Plots-Copy1 | |||
Lab Pie Charts, Box Plots, Scatter Plots, and Bubble Plots | |||
Data Vis: Pie,Scatter Plot,Box Plot | |||
Data Vis : Area Plot, Histogram | |||
Lab Area Plots, Histograms, and Bar Charts | |||
Data Vis : Bar Plot | |||
Data Vis : Plotly working | |||
Lab Plotting Directly with Matplotlib | |||
4.3_Plotly_Basics-Assignment | |||
Data Vis : Plotly (Day2) | |||
Data Vis: working on Dash | |||
dash_interactive-Partial | |||
Assignment discussion | |||
Database Introduction + Installtion | |||
mysql-8.1.0-winx64-Server | |||
mysql-workbench-community-8.0.34-winx64-client | |||
SQL : data Import | |||
Employee | |||
Department | |||
Jobs | |||
JobsHistory | |||
Location | |||
HR_Database_Create_Tables_Script | |||
SQL : Database DLM DDL | |||
SQL : Insert Update delete query | |||
SQL : DDL queries | |||
Examples to ALTER and TRUNCATE tables using MySQL | |||
SQL : String pattern range | |||
Hands-on Lab -Sub-queries and Nested SELECTS | |||
SQL : Group By+ functions | |||
PETSALE-CREATE-v2 | |||
Hands-on Lab-String Patterns, Sorting and Grouping | |||
SQL ; Date function + Sub queries | |||
Hands-on Lab -Sub-queries and Nested SELECTS | |||
SQL : Joins | |||
SQL : connection python with Database | |||
MYSQL Lab Connecting to a database instance-Part1 | |||
SQL : database connectivity (day2) | |||
MYSQl-Full-assignment-with-Plot | |||
SQL : working with SQl Magic | |||
MYSQL Lab Analyzing a real World Data Set- Through SQLMagic | |||
SQl : working with SQL Magic Day2 | |||
MYSQL Analyzing System SQl Command Through SQLMagic-Chicago-Public-chool-assignment | |||
chicago_public_schools | |||
sql:: assignment dscussion | |||
chicago_socioeconomic_data | |||
SQL : working with SQLITE | |||
SQLite Working on Real Database With SQLMagic -School Data | |||
SQLITE Creating tables, inserting and querying Data- | |||
CeleritIO: Project Discussion | |||
SQL : View | |||
SQL : working with store procedure | |||
Stored-Procedure | |||
view-assignment | |||
Stored Procedure and View Assignment | |||
Working on Transaction | |||
BankAccounts-CREATE | |||
chicago_crime | |||
chicago_public_schools | |||
ShoeShop-CREATE | |||
chicago_socioeconomic_data | |||
final-assignment | |||
Transaction-assignment | |||
SQL :assignment checking | |||
SQL assignment discussion | |||
Pizza-Sales-analysis-using-SQL-main | |||
SQL-Solved-Queries | |||
Database-Queries | |||
SQl-Query-Part2 | |||
Date-query | |||
working on web scrapping | |||
Webscrapping assignment | |||
labs_module 1_Web Scraping_Web-Scraping-Review-Lab | |||
Web scrapping assignment Day2 | |||
Working on Git | |||
Jira Working | |||
Introduction to Power BI | |||
Power Bi : data uploading | |||
Power BI : creating charts | |||
gap-minder | |||
Books into Movies | |||
PBIDesktopSetup | |||
Power Bi : Charts Report (day2) |
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