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| Item Details | Price | ||
|---|---|---|---|
Data Science & Analytics with AI (8:30 PM)
Unlock the power of data with AI
Instructor: Somil Deshmukh
Language: English,hindi
Validity Period: Lifetime
₹50000
Description:
This course covers the fundamentals of data science and analytics with a focus on artificial intelligence. Explore the key concepts, techniques, and tools used in data analysis and machine learning to derive valuable insights from data.
Key Highlights:
- Fundamentals of data science
- Advanced analytics techniques
- Hands-on AI projects
What you will learn:
- Develop strong foundation
Understand the core principles of data science and analytics - Master AI tools
Learn to use AI frameworks and algorithms for predictive modeling - Real-world projects
Apply your knowledge to real data sets and solve complex problems - Career readiness
Prepare for a career in data science and AI-driven industries
| Introductions to Data Analytics | |||
| Infographics Data science Analytics ML and AI | |||
| Introduction to Spreadsheets | |||
| Working with Excel Spreadsheet | |||
| Working with excel sheet (Day2) | |||
| Membership-Info | |||
| Excel: Working with formula and functions | |||
| Excel-Formula-Function-assignment | |||
| Test1 | |||
| Excel: working on formulas and Functions | |||
| Excel: Data Cleaning and Filtering (Day2) | |||
| Excel-Cleaning Data-Assignment2 | |||
| Excel-Data Quality +Data Privacy | |||
| Excel: Data Privacy +GDPR | |||
| Excel-Filtering-Sorting-Vlookup-HLookUp-Assognment3 | |||
| Excel: working with more functions | |||
| Excel: VLookup and HLookup | |||
| Excel: VLookUp & HLookUp (day2) | |||
| Excel: working with Lookup | |||
| Excel: Working with Pivot | |||
| Excel; Working with Pivot (day2) | |||
| Membership-Info | |||
| Excel; Pivot assignment and working with charts | |||
| Excel-Pivot Assigment | |||
| Excel: Creating chart (day2) | |||
| Excel: Creating Chart (day3) | |||
| Excel-Creating Basic Charts-Assignment5 | |||
| Excel: working with Adv Chart (day5) | |||
| Creating Advanced Charts-Assignment6 | |||
| Excel: Absolute, reference ,relative | |||
| working with dynamic chart | |||
| Excel: Working on Dashboard | |||
| Chart-Dashboard-Final_assignment | |||
| python installation | |||
| How to Install Python | |||
| Python: anaconda Installtion | |||
| Python: First Examples | |||
| PY0101EN-1-1-Write_your_first_python_code | |||
| Python:Expression Assignment | |||
| Python Installation with Anaconda | |||
| Python:String | |||
| PY0101EN-1-2-Strings-20230410-1681084800.jupyterlite | |||
| Python: List Tuples | |||
| Python: List + tuples (day2) | |||
| PY0101EN-2-1-Tuples-assignment | |||
| Python: List Assignment | |||
| LIve class | |||
| PY0101EN-2-2-Lists | |||
| Python: set assignment | |||
| PY0101EN-2-3-Sets | |||
| PY0101EN-2-4-Dictionaries-20230526-1685059200.jupyterlite | |||
| Python: Conditional & Branching | |||
| Python:Loops | |||
| PY0101EN-3-2-Loops | |||
| Python: practice assignment discussion | |||
| PY0101EN-3-1-Conditions | |||
| Python: Assignment discussion (day2) | |||
| Python :Functions | |||
| Python: Function (Day2) | |||
| PY0101EN-3-3-Functions | |||
| Python: function (day3) | |||
| Python: Classes and Objects | |||
| Python ; Classes and Function Live Assignment | |||
| PY0101EN-3-4-Classes | |||
| Python: Reading from files | |||
| Python; Reading from file assignment | |||
| PY0101EN-4-1-ReadFile | |||
| Python :writing to file assignment | |||
| Python: Writing in File (Assignment)-Day2 | |||
| PY0101EN-4-2-WriteFile-updated | |||
| Python: working with One dimensional array | |||
| Python: One dimensional array assignment | |||
| PY0101EN-5-1-Numpy1D1 | |||
| Recording Python writing to file - | |||
| Recording Python File writing day2 - | |||
| Recording Python working with Numpy | |||
| Numphy: Two dimensional | |||
| PY0101EN-5-2-Numpy2D | |||
| Recording - Assignment Numpy 1-Dim 50:00 | |||
| Recording - Assignment Numphy 2 dimension 19:00 | |||
| Python: Working on Pandas | |||
| PY0101EN-4-3-LoadData-Python | |||
| Pandas, Numpy Assignment Discussions | |||
| Python:working with different files | |||
| Python:Working with different files-Day2 | |||
| PY0101EN-5.4_WorkingWithDifferentFileTypes | |||
| Working with API (Day1) | |||
| API Assignment | |||
| PY0101EN-5.1_Intro_API | |||
| PY0101EN-5.2_API_2.v2 | |||
| Rest API(part1) | |||
| Rest API Assignment | |||
| MYSQL DataBase Setup | |||
| mysql-workbench-community-8.0.34-winx64-client | |||
| mysql-8.1.0-winx64-Server | |||
| HR_Database_Create_Tables_Script | |||
| Employee | |||
| Department Data | |||
| JobsHistory | |||
| Jobs | |||
| Location | |||
| SQL: Select Query | |||
| Employee-new | |||
| SQL:working with queries | |||
| SQL Cheat Sheet | |||
| SQL; Relation Database concepts | |||
| SQL: working on Alter,Drop and Truncate | |||
| Examples to CREATE and DROP tables | |||
| Examples to ALTER and TRUNCATE tables using MySQL | |||
| SQL: String Pattern,Range | |||
| SQl: Group By | |||
| Hands-on Lab-String Patterns, Sorting and Grouping | |||
| SQ; Working with functions + Sub Queries | |||
| SQL; Working with subqueries | |||
| SQl: Working with Multiple Tables | |||
| Join-Flow | |||
| SQL: View and Storedure | |||
| SQl :Stored procedure | |||
| BankAccounts-CREATE | |||
| chicago_crime | |||
| chicago_public_schools | |||
| chicago_socioeconomic_data | |||
| final-assignment | |||
| PETSALE-CREATE-v2 | |||
| ShoeShop-CREATE | |||
| Stored-Procedure-Assignment | |||
| view-assignment | |||
| SQL: Transaction | |||
| Transaction-assignment | |||
| Assignment discussion | |||
| SQL connection with Python | |||
| SQl: Connecting with Database in Python | |||
| Recording - Python : Exception assignment 44:00 | |||
| Python : Exception assignment | |||
| Python: Exception Handling | |||
| MYSQL Lab Connecting to a database instance-Part1 | |||
| SQL :connecting with python (day3) | |||
| MYSQl-Full-assignment-with-Plot | |||
| Mysql connection with Python (day3) | |||
| SQL: Working session | |||
| SQl; Working with SQL Magic | |||
| MYSQL Lab Analyzing a real World Data Set- Through SQLMagic-Copy1 | |||
| MYSQL Lab Analyzing a real World Data Set- Through SQLMagic | |||
| SQL:working with SQl Magic (day2) | |||
| SQLIte Analyzing a real World Data Set-+with SQLMagic | |||
| SQLITE Creating tables, inserting and querying Data- | |||
| Data analytics introduction | |||
| Data Analysis : importing data | |||
| Lab 1Importing Datasets | |||
| Preporocessing data-dealing with missing value | |||
| Data Normalization + Binning | |||
| Data wrangling-cleaning-Normalize assignment | |||
| Data Wrangling | |||
| Exploratory Data Analysis | |||
| Correlation and statical Correlation | |||
| Data Analysis Assignment (Binning, Statical Correlations) | |||
| DA0101EN-3-Review-Exploratory-Data-Analysis | |||
| Data Visualization Introduction | |||
| Data Visualization (Day2)-1 | |||
| Data Visualization : Data Processing | |||
| Lab Exploring and Pre-processing a Dataset using Pandas | |||
| Assignment checking | |||
| Car-Sale-Demo | |||
| Visualization : Data Plotting using MatplotLib | |||
| Visualization: working wit MatplotLib | |||
| Lab Introduction to Matplotlib and Line Plots | |||
| Visualization: working with MatplotLib (day2) | |||
| Visualization: Working with other graphs | |||
| Data Visualization (Day3) | |||
| Lab Area Plots, Histograms, and Bar Charts | |||
| Data Visualization : Pie Chat, BoxPlot, Scatter chat | |||
| SQL-Solved-Queries-Interview-Question | |||
| Database-Queries-Interview-Question | |||
| Python-Data-Structure-Interview-Question | |||
| Python:Box ,Scatter chart | |||
| Data Visualization :scatter and Box Plot | |||
| Lab Pie Charts, Box Plots, Scatter Plots, and Bubble Plots | |||
| Data Visualization : Direct Plotting Using MatPlotLib | |||
| Lab Plotting Directly with Matplotlib | |||
| Working with Polty | |||
| polty assignment | |||
| Polity assignment (Day2) | |||
| 4.3_Plotly_Basics | |||
| Working with Dash | |||
| Dash assignment Working (day1) | |||
| dash_interactive-Partial | |||
| Dash assignment (day2) | |||
| dash_interactive_bar | |||
| Machine Learning Introduction | |||
| Machine Learning with Python | |||
| Machine Learning : Classification | |||
| Machine Learning : K NN ,Evaluation Matrics | |||
| ML0101EN-Clas-K-Nearest-neighbors-CustCat | |||
| Machine Learning Knn Algorithm assignment | |||
| Machine Learning : regression | |||
| Machine Learning:Example | |||
| ML0101EN-Reg-Simple-Linear-Regression-Co2 | |||
| Machine Learning :Multiple Linear Relationship | |||
| ML0101EN-Reg-Mulitple-Linear-Regression-Co2 | |||
| TensorFlow Introduction | |||
| Recording - Machine Learning : TensorFlow Assignment 45:00 | |||
| Tensorflow | |||
| Tensorflow assignment discussion | |||
| Recording - Power BI : Report and Trends 66:00 | |||
| Recording - Power BI: Plotting Graphs 46:00 | |||
| Recording - Power BI: Multiple File Loading + DAX 66:00 | |||
| Recording - Power BI Introduction + Installation 42:00 | |||
| Churn | |||
| Power BI Introduction + Installation | |||
| PBIDesktopSetup | |||
| powerbi-files-zip | |||
| DAX-Assignment | |||
| Jira and resume | |||
| Recording - Jira Setup 20:00 | |||
| Jira Setup & Scrum Working Recording 37:00 | |||
| Git-setup-recording-1 | |||
| Git-Setup-Document | |||
| Recording - PowerBi: Data Cleaning 46:00 | |||
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