What You will learn in this program ?
30 Day Challenge - to become Zero to 🦸♂️🦸♀️ as Data Analyst
Introduction to Artificial Intelligence, Data Analytics & Road Map to become a Data Scientist
EXCEL
Data Preparation - Power Query & Tables
Data analytics- Formula & Pivot Table
Story Telling - Charts & Dashboard
Automation - VBA Macros & Power Query
STATISTICS & PROBABILITY
Descriptive Statistics - Mean, Mode, Median, Quartile, Range, InterQuartile Range, Standard Deviation
Probability - Permutations, Combinations
Population and Sampling
Probability Distributions - Normal, Binomial and Poisson Distributions
Hypothesis Testing & ANOVA - One Sample and Two Samples - z Test, t-Test, F Test and Chi-Square Test
BI tools - Tableu
Connect Tableau to a Variety of Datasets
Analyze, Blend, Join, and Calculate Data
Visualize Data in the Form of Various Charts, Plots, and Maps
BI tools - Power BI
Connect Tableau to a Variety of Datasets
Visualize Data in the Form of Various Charts, Plots, and Maps and Calculate Data
Python
Introduction to Python & Installing Python and its Libraries
Basic Python Programming for Data Analytics
Numpy & Pandas
Python Numpy functions
Pandas for Data analytics in Python Data Visualization
Data Visualization
Matplotlib for data visualization
Seaborn for data visualization
Kaggle Exploratory
Kaggle Dataset and Notebooks
Database - SQL
SQL basics for Data analytics - Part-1
SQL basics for Data analytics - Part-2
Database - MongoDB
MongoDB basics for Data analytics
Machine Learning
Introduction to Machine Learning & its libraries
Evaluating and Deploying Machine Learning Classification algorithm for classification of State of Electric power system
Deep Learning
Introduction to Deep Learning & its libraries
Covid-19 Detection using X-Ray Images with CNN
Natural Language Processing
Tag Identification system using NLTK
