• Operators
  • Arithmetic Operators
  • Comparison or Relational Operators
  • Logical or Boolean Operators
  • Bitwise Operators
  • Assignment Operators
  • Special Operators
• Math Library
• Variables
• Data Types
• Typecasting
• Booleans
• Strings 
• Special Characters in a String
• Split and Strip a String
• Introduction to Lists
• Lists Slicing and Reverse Order
• Kinds of Lists
• Concatenate Strings Using join() method
• Add Lists
• Introduction to Dictionary
• Dictionary and It’s Methods
• Nested Dictionary
• Create Dictionary Using zip() method
• Tuples
• Set
• If Condition
• While Loop
• Range() Method
• For Loop
• Reserve Keywords
• Built-In Functions
• User Defined Functions
• Anonymous or Lambda Functions

• Necessity of Numpy
• Creation & Metadata of Numpy
• Arrays
• Broadcasting
• Built-in Functions
• Data types
• Type casting
• Matrix Multiplication
• Change of Numpy Shape
• Numpy Slicing
• Boolean Indexing
• Filter Data
• Statistical Methods
• Sort, Min & Max of Numpy
• Arrays
• Stacking & Splitting
• Copy Vs View

• Series
• DataFrame
• Metadata
• Rename Columns & Indices
• Transpose DataFrame
• Slice a DataFrame
• Boolean Indexing
• Missing Values
• Replace Values
• Search, Extract & Create
• Columns
• Set & Unset Index
• Built-In Customised Functions
• Value_counts function
• Groupby & Associated Methods
• Concat & Append
• Merge
• Reshape – Stack & Unstack
• Pivoting
• Melt
• Dummy Variables
• Crosstab() method
• Upper, Extract, Split & Replace Methods
• Regular Expressions
• Contains Method
• StartsWith Method
• Multiple String methods
• Column Name Manipulation
• Show Columns based on
• Keyword
• read_csv() method
• Bad Data
• Select Columns based on
• DataType
• Tabbed File
• Fixed Width File
• JSON Data
• HTML Data
• XML Data
• API
• Export Dataframe to CSV
• Encoded Data Files

• How to convert NonTimestamp to Timestamp
• Invalid Data
• Unix/Epoch Time
• Datetime Index
• Current Datatime
• date_range & bdate_range
• methods

• One Axis Plot
• Two Axis Plot
• Line Style & Color
• X and Y Limits
• Line Width
• Multiple Plots in One Chart
• Title, X & Y Labels
• Gridlines
• Annotations
• Ticks
• Spines
• Legend
• Subplots
• Line Plot
• Bar Graph
• Scatter Plot
• Area Plot
• Box Plot
• Histogram
• Pie Chart

• Count Plot
• Box Plot
• Violin Plot
• Swarm Plot
• Overlaying Plot of Univariate Variables
• Facet Grid
• Lmplot & regplot
• Size & Shape of a Plot
• Pair Plot
• Join Plot
• Heat Map

• Types of Data
• Population Vs Sample
• Sampling Methods
• Branches of Statistics
• Distribution
• Variance Vs. Standard Deviation
• Z-Score
• Correlation
• Models
• Probability

• Labelled Vs Unlabeled Data
• Types of ML Algorithms
• How ML Predict things
• Count Vectorizer
• Difference between fit and fit_transform Methods
• Special & Numerical Chracters
• Remove HTML Tags from Text Data
• Remove Stop words from Text
• Stemming
• Train Test Split
• Accuracy – MAE, MSE, RMSE & Variance Score

• Simple Linear Regression
• Multiple Linear Regression
• Polynomial Regression
• Classification Algorithms
• Clustering Algorithms
• Univariate Timeseries Analysis

• Basic Algebra
• Calculus
• Matrices

• Types of Variables
• Central Tendency
• Measures of Dispersion
• Statistics Library
• Sampling Techniques
• Correlation
• Covariance
• Distribution
• Central Limit Theorem
• Confidence Interval
• Hypothesis Testing
• Statistical Significance

• Loss Functions
• Noise
• Penalty
• Dimensionality Reduction
• Principal Component Analysis
• r^2 score
• ROC & AUROC
• Hyper Parameters
• Project Skeletons

• Average
• Weighted
• Conditional
• Bagging
• Boosting

• Git add
• Git commit
• Git push
• Git pull
• Git clone, etc.,

• Data Scaling
• Covariance
• Eigen Values
• Eigen Vectors

• Artificial Neural Network
• Deep Neural Network
• Weight
• Bias
• Neuron
• Hidden Layers
• Input Layers
• Output Layer
• RNN
• LSTM
• CNN

• Named Entity
• Parts of Speech (PoS)
• Text Cleaning
• NGrams
• Tokenization
• RegEx Stemmer
• Singular & Plural
• Translate
• TF-IDF

• Anomaly Detection
• Topic Modelling
• Sentiment Analysis
• Auto Tagging
• Spam Classification
• Text Generation

• Pandas Slicing
• Component of Datetime
• Strftime method
• Period Range
• Period
• Resample
• Handle Timezone
• AutoRegression
• Moving Averages
• ARIMA Model

• World Bank Data
• Google Trends Data

• Image Basics
• Image Processing
• Deep Learning for CV

• Object Detection
• Image Search Engine
• Transfer Learning

• SageMaker
• Bucket Creation
• Regression – Deep
• Learning
• Classification – Deep
• Learning

• Text
• DropDown
• Charts
• Status
• Checkbox, etc.,

• HTTP Methods
• Routing
• Database Connectivity

• HTTP Methods
• Web Service Request & Response

• AWS
• Heroku
• Google Cloud Platform
• Azure
• CI/CD
• Monitoring

You get 2+ years of real time experience in Machine Learning by doing this course