Live Online classes with Certificate & 5 projects

Environmental setup Guesstimate question

Analytical thinking

Data Science overview

Excel features Excel formulas Analytics within Excel Visualization in Excel

DATA MINING FROM SQL DATABASES AND MONGODB 3

Data mining

Mining from Sqlite3

Mining from MongoDB

Loading data from CSV Interacting with Cloud data Analytics Quiz

Working with Excel data ribbon

Setting up a cloud database

PYTHON FUNDAMENTALS NUMPY ARRAY

The CRISP-DM Framework

Revisiting important concepts String formatting List and tuples Dictionary and sets Comprehensions map, filter and lambda n-dimension arrays

Array properties Array functions Radom number arrays

Python Quiz Numpy array functions test Pandas DataFrame manipulation 7 PANDAS

Reading CSV data

DataFrame properties

DataFrame slicing and sorting

Data aggregations and joining

DATA VISUALISATION WITH MATPLOTLIB AND SEABORN EXPLORATORY DATA ANALYSIS (EDA) LEARNING CHECKPOINT

Graph forms and markers Line plot

Scatter plot Bar graph and histogram Pie chart Cohort analysis with seaborn

Data investigation & pattern discovery

Anomaly detection

Model selection

Statistics Quiz Subplots and HeatMap EDA

Statistical significance Basics statistical measurements Probability distributions Hypothesis testing

Probability Distributions Discrete Distribution Binomial Distribution Probability Density Functions Continuous Distribution Normal Distribution Continuous Distribution Standard Normal Distribution Central Limit Theorem

Setting Up a Hypothesis test One tailed and two-Tailed test Type I and Type II error Significance of P value T Distribution Two Sample Mean Test A/B testing

MACHINE LEARNING 14 Simple Linear Regression Multiple Linear Regression Logistic Regression Support Vector Machines Naive Bayes Decision Tree K-nearest neighbours K means/ K median Principle Component Analysis Apriori Algorithm

Supervised Learning [ Regression ] [ classification ] Unsupervised Learning [ Clustering ]

COURSE HIGHLIGHTS

Duration: 2 months Course

Cycle: Mon, Wed, Thr, Sat

Class timing: 8:00 PM - 10:00 PM (IST)

Trainer: Anurag Deyasi

Lab setup: Python3, MSExcel, Sqlite3, Pymongo, Numpy, Pandas, Matplotlib, Seaborn, Statsmodels, Scikit-learn, Git

CAPSTONE PROJECT 15 Industry project with real-world data sets ADD-ON SERVICES Course completion certificate Placement preparation kit Backup classes Discussion forum Community access Comprehensive Notes Practice Datasets Live mentoring

For more details on course call/whatsapp:8073328732