Data Analyst-Machine Learning

Introduction to Data Analysis

• Introduction to Data Analytics for Data Analysts      
• Introduction to Types of Data Analytics
• Descriptive Analytics
• Predictive Analysis
• Prescriptive Analytics

 

Introduction to Key Concepts for Data

• Data Collection
• Cleanup
• Exploration
• Visualization - A Key Concept for Data Analysts
• Statistical Analysis: A Key Concept for Data Analysts
• Machine Learning - A Key Concept for Data Analysts

Building a atrong foundation

• Sum
• Min / Max Function
• Average
• Count
• Concatenation
• Trim
• Upper, Lower, Proper Functionsim
• Replace/Substitute
• vlookup and hlookup
• Basic Functions of a DatDATEDIFa
• Analyst
• Understanding Basic Functions

Excel

• Pivot Tables
• Charting

SQL

 SQL for Data Analysts

• Programming Language for Data Analysts
  • R
  • Python as a Programming Language
• Data Manipulation Libraries
  • Pandas
  • Dplyr

 

• Data Visualization Libraries
  • ggplot2
  • Matplotlib

Mastering Data handing

Data Collection

• Databases
• CSV Files in Data Collection for Data Analysts
• APIs and Data Collection
• Web Scraping

Data Cleaning

• Handling Missing Data in Data Cleaning
• Removing Duplicates
• Finding Outliers
• Data Transformation

Data Analyst techniques

Descriptive Analysis

• Visualising Distributions
• Central Tendency
  • Mean
  • Mode
  • Average
  • Mode

•          Dispersion

• Range
• Variance as a Measure of Dispersion
• Standard Deviation

Distribution Shape

• Skewness
• Kurtosis

Data Visualization

Tools

• Tableau in Data Visualization
• PowerBI

Data Visualization

• Matplotlib
• Seaborn
• Data Visualization with ggplot2

Charing Data

• Bar Charts in Data Visualization
• Line Chart
• Scatter Plot
• Funnel Chart in Data Visualization
• Histograms
• Stacked Chart
• Heatmap
• Pie Chart

Statistical Analysis

Learn different  techniqiues

• Hypothesis Testing
• Correlation Analysis
• Regression

Typs of Machine Learning

• Supervised Machine Learning Basics for Data Analysts
• Unsupervised Learning in Machine Learning Basics
• Reinforcement

Typs of Machine Learning

• Machine Learning Basics for Data Analysts
• Model Evaluation Techniques

Pupulat ML Algorithms

• Decision Trees
• Naive Bayes
• KNN
• Kmeans
• Logistic

Big Data Techniques

• Big Data and Data Analyst
• Big Data Concepts
• Data Processing Frameworks
• Spark
• Hadoop

Big Data Techniques

• Data Processing Techniques
  • Parallel Processing
  • Map Reduce
  • MPI

Big Data Techniques

• Data Storage Solutions

 

Deep Learning and Data Analysis

• Neural Networks
• CNNs
• Understanding RNNs

Deep Learning and Data Analysis

• Tensor Flow
• PyTorch

Deep Learning and Data Analysis

• Image Recognition
• Natural Language Processing

 

 

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