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πTCS NQT Preparation is coming to an end and today is our final Marathon session which covers all TCS NQT questions.
π¨βπ»β
Go and attend the Live session on TCS NQT Marathon #2 Webinar Today - 23rd Oct. on https://youtu.be/yPhaeh-rIOM
ββπ° Zapier Mastery Coursed Complete π°
With this Zapier Course, you'll learn how to automate your business to create more free time in your day, or get more done with business automation.
π Costs : 4999 INR (Free Here Only)
π Download link:
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Moving Average Convergence Divergence MACD Indicator
FREE For 24 Hrs
Learn To Trade through MACD indicator (Top Technical Analysis tool) w/case studies for Stock Trading & Financial Trading
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Cisco CCNA 200-301 Full Course with Practical LABS
FREE For 48 Hrs
Master the Cisco CCNA 200-301 topics and have hands-on LABS to be ready for the CCNA exam.
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The Complete HTML5 Course: From Beginning to Expert
FREE For 48 Hrs
Master yourself in HTML5: Interactive way, step by step and easy to follow. Great for Absolute Beginners!!
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The Python Programming For Anyone Immersive Training
FREE For 24 Hrs
Learn, Practice, Master, Think like Python Professionals & Be A Certified Python Super Hero in short time!
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https://bit.ly/36YJ4UI
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Practical Web Development: 22 Courses in 1
FREE For 24 Hrs
Learn PHP, Apache, MySQL, MongoDB, Python, JavaScript, XML, JSON, HTML, CSS, Wordpress and more. With practical examples
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https://bit.ly/34OFmdO
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https://www.udemy.com/course/master-django-by-building-complete-restful-api-project/?ranMID=39197&ranEAID=7W41uFlkSs&ranSiteID=.7W41uFlkSs-a9zkGdqrGyAU2KrWrN42Lw&LSNPUBID=7W41uFlkSs&utm_source=aff-campaign&utm_medium=udemyads&couponCode=FREEOCTOBER
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The Complete Data Structures and Algorithms Course for 2020
FREE For 48 Hrs
Learn Data Structures and Algorithms from zero to hero and crack top companies interview questions (supported by Python)
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https://bit.ly/3kafj6Y
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Fundamental Data Analysis and Visualization Tools in Python
FREE For 24 Hrs
Learn how to analyze and visualize data by using Python libraries such as Plotly, Seaborn, Matplotlib, Pandas, and NumPy
https://coursevania.com/courses/fundamental-data-analysis-and-visualization-tools-in-python/
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Learn Python From Scratch β Basic to Advance
FREE For 24 Hrs
This Python Course From Beginners to Advance Teaches You The Python Language in Less then 3 Hours - Python
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Fundamental Data Analysis and Visualization Tools in Python
FREE For 24 Hrs
Learn how to analyze and visualize data by using Python libraries such as Plotly, Seaborn, Matplotlib, Pandas, and NumPy
https://coursevania.com/courses/fundamental-data-analysis-and-visualization-tools-in-python/
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Learn! Python from scratch β Basics to Advanced
FREE For 48 Hrs
Go from Python 3 basics like datatypes to advanced concepts like scraping data from web.
Open First Link Of Search
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β οΈβ οΈ Only One Day Left for the Workshop!!
π£π£For the first time ever, Abhinandan (IIIT-Hyderabad & Co-Founder, Edyst) is going to conduct
1-Full Day Webmaster Workshop (Sunday, October 18, 2020) on Designing The GMail Landing Page.
itβs completely FREE on a first-come-first-serve basis.
β οΈβ οΈ(Note: Hurry! Only 250 seats are there)
ππRegister here: bit.ly/edyst-webmaster
βοΈTo know more about the workshop, check: https://bit.ly/3nUYAXK
Microsoft Power BI: Latest 2020 Beginner to Expert Modules
FREE For 48 Hrs
Transform, analyze & visualize data with Microsoft Power BI Desktop: hands-on demos, projects & 1-on-1 Power BI support
Open First Link Of Search
http://bit.ly/359CR5V
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Reverse Engineering 2: Windows GUI Programs
FREE For 48 Hrs
Reverse engineer Windows Graphical User Interface programs with xdbg
Open First Link Of Search
http://bit.ly/3nZU1LS
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βͺοΈData Analysis and Presentation Skills: the PwC Approach Specialization
https://www.coursera.org/specializations/pwc-analytics
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ββπ°C++ Tutorial for Complete Beginners.π°
πΊ1. Getting Started
2. Basic Syntax
3. Subroutines Reusable Blocks of Code
4. Object Oriented Coding
5. Pointers and Memory.π»
πLink : http://www.mediafire.com/file/9kw48l1w2v772c2/C%252B%252B\_Tutorial\_for\_Complete\_Beginners.rar/file
Password :- yrustupid
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https://www.coursera.org/specializations/machine-learning
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