Video Training → SKILLSHARE Learn Data Analysis with Python-iLLiTERATE
SKILLSHARE Learn Data Analysis with Python-iLLiTERATE
English | Size: 773.38 MB
When it comes to data analysis and manipulation the Python Pandas library is one of the most used libraries in Python. Whether in finance, scientific fields, or data science, a familiarity with Python Pandas is a must have.
This course teaches you how to work with real-world data sets for analyzing data in Python. Not only will you learn how to manipulate and analyze data you will also learn powerful and easy to use visualization techniques for representing your data.
By the end of this course you will know how to:
Use Anaconda, the worlds leading data science platform, to setup Python and manage libraries
Install and setup the free to use Atom Text Editor
Create Virtual Environments
Clone a GitHub Repository directly into Atom
Create new code branches in GitHub and Atom
Install the Pandas library
Use Pandas DataFrames for data analysis
Quickly and efficiently inspect large data files
Use conditional filtering to refine your data
Use NumPy and Pandas together
Create DataFrames without starting data files
Create DataFrames from dictionaries
Use Broadcasting to create DataFrames
Correctly label data within DataFrames
Cleanse your data files for easier analysis
Create graph plots from your data (line, bar, scatter, area and more)
Save and export your data files for sharing
Use statistical exploratory data analysis techniques such as min, max, mean on your data
Mange date and time data within large data sets
Create Date/Time indexes
Partial string indexing
Resampling techniques such as downsampling
This course kicks off by showing you how to get up and running using GitHub, an essential skill in your coding career. Ideally, to get the best from this course you should have some Python programming experience.
Every piece of code and dataset used in this course is available to download for free from GitHub.
Without a doubt, this course will teach you the necessary skills to apply basic data science techniques which are used the world over by experienced data scientists and those who spend their working day in spreadsheets.
Video Training → SANS-FOR500 Windows Forensic Analysis
SANS-FOR500 Windows Forensic Analysis
English | Size: 246.4 MB
FOR500: Windows Forensic Analysis focuses on building in-depth digital forensics knowledge of Microsoft Windows operating systems. You can't protect what you don't know about, and understanding forensic capabilities and artifacts is a core component of information security. You will learn how to recover, analyze, and authenticate forensic data on Windows systems, track particular user activity on your network, and organize findings for use in incident response, internal investigations, and civil/criminal litigation. You will be able to use your new skills to validate security tools, enhance vulnerability assessments, identify insider threats, track hackers, and improve security policies. Whether you know it or not, Windows is silently recording an unbelievable amount of data about you and your users. FOR500 teaches you how to mine this mountain of data.
Video Training → SKILLSHARE Business and Data Analysis with SQL
SKILLSHARE BUSINESS AND DATA ANALYSIS WITH SQL
English | Size: 2.29 GB
Have you thought about working with big data but don't know where to start? In this course, you will learn the skills of what it takes to become a data and business analyst.
What we will cover:
1) Database and datawarehouse design
2) How to write queries in SQL (Structured Query Language)
3) How to build interactive dashboards and reports
4) Tips and techniques on how to run your own big data project from start to finish
Video Training → SKILLSHARE BIG DATA ANALYSIS WITH APACHE SPARK PYSPARK PYTHON
SKILLSHARE BIG DATA ANALYSIS WITH APACHE SPARK PYSPARK PYTHON
English | Size: 337.27 MB
Spark can perform up to 100x faster than Hadoop MapReduce Data processing framework, Which makes apache spark one of most demanded skills.
The top companies like Google, Facebook, Microsoft, Amazon, Airbnb using Apache Spark to solve their big data problems!. Data analysis, on huge amount of data is one of the most valuable skills now a days and This course will teach such kind of skills to complete in big data job market.
Video Training → Philakone-Cryptocurrency Technical Analysis Trading-24 Videos
Philakone-Cryptocurrency Technical Analysis Trading-24 Videos
English | Size: 2.68 GB
Acclaimed Cryptocurrency & Technical Analysis Trader PhilAkone.
This is a series of 24 cryptocurrency trading & technical analysis videos.
Video Training → Mastering Fibonacci : A Technical Analysis Tool
Mastering Fibonacci : A Technical Analysis Tool
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 30M | Lec: 5 | 86 MB
Genre: eLearning | Language: English
Video Training → So you have a dream!: Startup analysis for a rational start
So you have a dream!: Startup analysis for a rational start
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 1 Hours | Lec: 7 | 155 MB
Genre: eLearning | Language: English
Video Training → PACKT HANDS ON GEOSPATIAL ANALYSIS WITH R AND QGIS 3.4
PACKT HANDS ON GEOSPATIAL ANALYSIS WITH R AND QGIS 3.4
English | Size: 807.53 MB
Integrating geospatial data science and traditional cartographic methods is in demand for modern geospatial analysts. In an age of flourishing data products, having a working proficiency with QGIS and R is an added advantage to every analyst.
This course introduces you to the full workflow, ranging from acquiring data, data wrangling, and analysis to outputting and publishing visualization products. We touch on a variety of datasets (including remote-sensing data and techniques) and incorporate machine learning in QGIS analytical steps. We further investigate geospatial analysis using the most up-to-date R packages, such as ggplot2, raster, sf, Leaflet, and Shiny.
Video Training → Packt - Advanced Malware Analysis
Packt - Advanced Malware Analysis
English | Size: 658.80 MB
In this video course, we cover advanced malware analysis topics. Towards this goal, we first understand the behavior of different classes of malware. Such knowledge helps us to easily categorize malware based on its characteristic. We see how sophisticated malware can use techniques to either evade detection or increase its damage and access to the system.
Video Training → [Pentester Academy]-Traffic Analysis TSHARK Unleashed
[Pentester Academy]-Traffic Analysis: TSHARK Unleashed
English | Size: 824.80 MB
A non-exhaustive list of topics to be covered include:
Automating activities with Tshark
Display, Capture and Read Filters
Single and Multi-Pass filters
Locating field names
Pipelining with Linux Utils e.g. sort, uniq
Exporting of results
PDML, PSML, JSON, ELK schema
Pipelining with other tools