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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) | |||
| Power BI : Table and DashbOard | |||
| PowerBI : Working on DAX (day1) | |||
| Power Bi : Dax Function (day2) | |||
| Covid-19 Vaccination Dashboard | |||
| Indigo Fare Sales | |||
| Sales dashboard | |||
| Food Prep - DAX | |||
| DAX-Functions | |||
| Power BI assignment | |||
| POWERBI-Git-Project | |||
| Power BI assignment discussion | |||
| Tableau discussion | |||
| Tableau discussion day2 | |||
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