www.educba.com Open in urlscan Pro
2606:4700:10::ac43:1c6d  Public Scan

Form analysis
4 forms found in the DOM

https://www.educba.com/search/slist.php

<form class="mega-search mega-search-open" role="search" action="https://www.educba.com/search/slist.php">
  <span class="fa fa-search search-icon"></span>
  <input type="submit" value="Search">
  <input type="text" aria-label="Search for Tutorials / Courses" data-placeholder="Search for Tutorials / Courses" placeholder="Search for Tutorials / Courses" name="s">
</form>

Name: frmuser —

<form name="frmuser" id="frmuser" autocomplete="off">
  <div class="form-group no-margin-bottom left-aligned">
    <!-- label  -->
    <div id="err-msgx" style="display:none; color: #ff0000">
      <span class="errmsg"></span>
    </div>
    <label for="shopemail" class="text-uppercase textname">Email ID <span style="color: #ff0000">*</span></label>
    <!-- end label  -->
    <!-- input  -->
    <input type="text" name="shopemail" id="shopemail" value="" required="">
    <input type="hidden" name="fcdp-trs-shc" id="fcdp-trs-shc" value="">
    <!-- end input  -->
  </div>
  <div style="display: inline-flex;" class="five-sixths">
    <!-- button  -->
    <div class="" style="margin: 0 auto;">
      <input type="submit" id="paidpaypal3" class="btn btn-black no-margin-bottom btn-small btn-round no-margin-top" name="paidintnl" value="Proceed">
    </div>
    <div class="loadr-bn one-sixth" style="display:none;"></div>
  </div>
  <input type="hidden" name="pum_form_popup_id" value="150987">
</form>

Name: nw-form-free-crs —

<form name="nw-form-free-crs" id="nw-form-free-crs" autocomplete="off">
  <div class="form-group no-margin-bottom"><input type="text" name="user-phone-free-crs" id="nw-user-phone-free-crs" placeholder="Enter your phone no" class="khal1" autocomplete="off"><input type="text" placeholder="Enter Email Address"
      name="nww-email-free-crs" id="nww-email-free-crs" value="">
    <input type="hidden" name="suid-free-crs" id="nw-suid-free-crs" value="1873">
    <input type="hidden" name="url-free-crs" id="nw-url-free-crs" value="https://www.educba.com/data-science/courses/data-science-course/">
    <input type="hidden" name="mn-trm-tx-id" id="nw-mn-trm-tx-id" value="newfc-111849">
    <input type="hidden" name="fcdp-trs-nw" id="fcdp-trs-nw" value="">
    <input name="submit-free-crs" id="nw-submit-free-crs" type="submit" value="Yes, Gimme FREE Access" class="title-small landing-subscribe-button xs-width-100 width-100 no-margin-bottom">
    <div class="line5"><i>*Please provide your correct email id. Login details for this Free course will be emailed to you</i></div>
  </div><input type="hidden" name="pum_form_popup_id" value="161564">
</form>

POST https://www.educba.com/nwp_logon.php

<form action="https://www.educba.com/nwp_logon.php" method="POST">
  <div class="form-group no-margin-bottom"><label for="le" class="text-uppercase textname">Username</label><input type="text" name="le" id="le" value=""></div>
  <div class="form-group no-margin-bottom"><input type="hidden" name="token" value=""><label for="lp" class="text-uppercase textname">Password</label><input type="password" name="lp" id="lp"></div>
  <div class="checkbox margin-five">
    <p class="text-uppercase margin-three no-margin-bottom"><a href="https://www.educba.com/forgot-password/">Forgot Password?</a></p>
  </div><button class="btn btn-black no-margin-bottom btn-small btn-round no-margin-top" type="submit">Submit</button><input type="hidden" name="pum_form_popup_id" value="138145">
</form>

Text Content

EDUCBA

Menu
MENUMENU
 * Explore
   * Lifetime Membership
   * All in One Bundles
   * Featured Skills
   * New & Trending
   * Fresh Entries
   * Finance
   * Data Science
   * Programming and Dev
   * Excel
   * Marketing
   * HR
   * PDP
   * VFX and Design
   * Project Management
   * Exam Prep
   * All Courses
 * Blog
 * Enterprise
 * Free Courses
 * 4655+ Hours of HD Videos | 80+ Learning Paths | 470+ Courses | 50+ Projects |
   Verifiable Certificate of Completion | Lifetime Access Courses Bundle
 * 
 * Log in
 * Sign up

Home Data Science Data Science Courses all.in.one: AI & DATA SCIENCE – 470+
Courses | 4655+ Hrs | 80+ Specializations | Tests | Certificates



ALL.IN.ONE: AI & DATA SCIENCE
470+ COURSES | 4655+ HRS | 80+ SPECIALIZATIONS | TESTS | CERTIFICATES

Embark on a transformative journey through our comprehensive course bundle,
delving into core areas like Machine Learning, Artificial Intelligence, and Deep
Learning. Explore Predictive Modelling, Business Intelligence, and Data Science,
and master the art of Data Visualization. Dive deep into Big Data, IoT, Cloud
Computing, and SalesForce, leveraging a diverse array of software platforms and
tools including R, Python, SAS, Power BI, and Tableau. Unleash your analytical
prowess with SPSS, Minitab, AWS, Informatica, eviews, Matlab, and more, as you
navigate the landscape of Statistical Analysis and beyond.



BESTSELLER
4.7 (118,841 ratings)

$149 $299 50% Off

Only 20 seats are left with this price


ENROLL NOW * One Time Payment & Get Lifetime Access

Offer ends in:

0 0 0 7 4 0 0 1

WHAT YOU'LL GET

 * 4655+ Hours
 * 470+ Courses
 * 80+ Specializations
 * Mock Tests
 * Unlimited Certificates
 * Unlimited Access
 * Self-paced Courses
 * Technical Support
 * Mobile App Access
 * Case Studies
 * Download Curriculum




SKILLS YOU WILL MASTER

 * Machine Learning: Acquire expertise in algorithms and techniques for
   predictive modeling and pattern recognition.
 * Artificial Intelligence: Develop advanced understanding and applications of
   AI principles for intelligent systems.
 * Deep Learning: Master neural network architectures and frameworks for complex
   pattern recognition tasks.
 * Predictive Modeling: Learn to build models that forecast future trends and
   behaviors based on past data.
 * Business Intelligence: Gain proficiency in tools and techniques for analyzing
   and visualizing business data to drive insights.
 * Data Science: Acquire skills in data manipulation, analysis, and
   interpretation for solving complex problems.
 * Data Visualization: Learn to create compelling visualizations that
   effectively communicate insights from data.
 * Big Data Analytics: Develop capabilities to process and analyze large and
   complex datasets efficiently.
 * Internet of Things (IoT): Understand IoT concepts and applications for
   collecting and analyzing data from connected devices.
 * Cloud Computing: Learn to leverage cloud platforms for storage, processing,
   and analysis of data at scale.
 * SalesForce: Master the SalesForce platform for customer relationship
   management and sales automation.
 * Statistical Analysis: Develop expertise in statistical methods and techniques
   for analyzing and interpreting data.
 * R Programming: Acquire proficiency in R programming language for statistical
   computing and graphics.
 * Python Programming: Learn Python programming language for data manipulation,
   analysis, and visualization.
 * SAS: Gain skills in SAS software for statistical analysis, data management,
   and predictive modeling.
 * Power BI: Learn to use Power BI for data visualization, interactive
   reporting, and business intelligence.
 * Tableau: Master Tableau for creating interactive and shareable dashboards and
   visualizations.
 * SPSS: Acquire proficiency in SPSS software for statistical analysis and data
   mining.
 * Minitab: Learn to use Minitab for statistical analysis, quality improvement,
   and process optimization.
 * AWS: Develop skills in Amazon Web Services for cloud computing, storage, and
   analytics.
 * Informatica: Gain expertise in Informatica for data integration, data
   quality, and master data management.
 * eViews: Learn eViews for econometric analysis and forecasting in economics
   and finance.
 * Matlab: Acquire skills in Matlab for numerical computing, data analysis, and
   visualization.
 * Hadoop: Master Hadoop for distributed storage and processing of big data sets
   across clusters of computers.
 * Microsoft Power BI: Develop proficiency in Microsoft Power BI for business
   analytics and data visualization.
 * Google Analytics: Learn Google Analytics for web analytics, tracking, and
   reporting of website traffic.
 * TensorFlow: Gain expertise in TensorFlow for building and training deep
   learning models.
 * Apache Spark: Acquire skills in Apache Spark for big data processing and
   analytics.
 * PySpark: Learn PySpark for parallel data processing with Apache Spark using
   Python.
 * SQL: Develop proficiency in SQL for managing and querying relational
   databases.
 * Ansible: Acquire skills in Ansible for automating IT infrastructure tasks
   such as application deployment and configuration management.
 * Splunk: Learn Splunk for operational intelligence, log management, and
   real-time data analytics.
 * Pandas & NumPy: Master Pandas and NumPy libraries for data manipulation and
   numerical computing in Python.
 * Seaborn: Develop proficiency in Seaborn for statistical data visualization in
   Python.
 * Cassandra: Acquire skills in Cassandra for distributed database management
   and scalable, high-performance applications.
 * Octave: Learn Octave for numerical computing and data analysis, particularly
   for scientific and engineering applications.
 * Scikit-learn: Master Scikit-learn library for machine learning algorithms and
   model building in Python.
 * Talend: Develop proficiency in Talend for data integration, data quality, and
   big data management.
 * OpenCV: Acquire skills in OpenCV for computer vision and image processing
   tasks.
 * QlikView: Learn QlikView for data visualization, business intelligence, and
   interactive dashboards.


CONTENT

 * Machine Learning: Acquire expertise in algorithms and techniques for
   predictive modeling and pattern recognition.
 * Artificial Intelligence: Develop advanced understanding and applications of
   AI principles for intelligent systems.
 * Deep Learning: Master neural network architectures and frameworks for complex
   pattern recognition tasks.
 * Predictive Modeling: Learn to build models that forecast future trends and
   behaviors based on past data.
 * Business Intelligence: Gain proficiency in tools and techniques for analyzing
   and visualizing business data to drive insights.
 * Data Science: Acquire skills in data manipulation, analysis, and
   interpretation for solving complex problems.
 * Data Visualization: Learn to create compelling visualizations that
   effectively communicate insights from data.
 * Big Data Analytics: Develop capabilities to process and analyze large and
   complex datasets efficiently.
 * Internet of Things (IoT): Understand IoT concepts and applications for
   collecting and analyzing data from connected devices.
 * Cloud Computing: Learn to leverage cloud platforms for storage, processing,
   and analysis of data at scale.
 * SalesForce: Master the SalesForce platform for customer relationship
   management and sales automation.
 * Statistical Analysis: Develop expertise in statistical methods and techniques
   for analyzing and interpreting data.
 * R Programming: Acquire proficiency in R programming language for statistical
   computing and graphics.
 * Python Programming: Learn Python programming language for data manipulation,
   analysis, and visualization.
 * SAS: Gain skills in SAS software for statistical analysis, data management,
   and predictive modeling.
 * Power BI: Learn to use Power BI for data visualization, interactive
   reporting, and business intelligence.
 * Tableau: Master Tableau for creating interactive and shareable dashboards and
   visualizations.
 * SPSS: Acquire proficiency in SPSS software for statistical analysis and data
   mining.
 * Minitab: Learn to use Minitab for statistical analysis, quality improvement,
   and process optimization.
 * AWS: Develop skills in Amazon Web Services for cloud computing, storage, and
   analytics.
 * Informatica: Gain expertise in Informatica for data integration, data
   quality, and master data management.
 * eViews: Learn eViews for econometric analysis and forecasting in economics
   and finance.
 * Matlab: Acquire skills in Matlab for numerical computing, data analysis, and
   visualization.
 * Hadoop: Master Hadoop for distributed storage and processing of big data sets
   across clusters of computers.
 * Microsoft Power BI: Develop proficiency in Microsoft Power BI for business
   analytics and data visualization.
 * Google Analytics: Learn Google Analytics for web analytics, tracking, and
   reporting of website traffic.
 * TensorFlow: Gain expertise in TensorFlow for building and training deep
   learning models.
 * Apache Spark: Acquire skills in Apache Spark for big data processing and
   analytics.
 * PySpark: Learn PySpark for parallel data processing with Apache Spark using
   Python.
 * SQL: Develop proficiency in SQL for managing and querying relational
   databases.
 * Ansible: Acquire skills in Ansible for automating IT infrastructure tasks
   such as application deployment and configuration management.
 * Splunk: Learn Splunk for operational intelligence, log management, and
   real-time data analytics.
 * Pandas & NumPy: Master Pandas and NumPy libraries for data manipulation and
   numerical computing in Python.
 * Seaborn: Develop proficiency in Seaborn for statistical data visualization in
   Python.
 * Cassandra: Acquire skills in Cassandra for distributed database management
   and scalable, high-performance applications.
 * Octave: Learn Octave for numerical computing and data analysis, particularly
   for scientific and engineering applications.
 * Scikit-learn: Master Scikit-learn library for machine learning algorithms and
   model building in Python.
 * Talend: Develop proficiency in Talend for data integration, data quality, and
   big data management.
 * OpenCV: Acquire skills in OpenCV for computer vision and image processing
   tasks.
 * QlikView: Learn QlikView for data visualization, business intelligence, and
   interactive dashboards.


DESCRIPTION

Delve into the realm of cutting-edge technology and data-driven decision-making
with our expansive course bundle, designed to empower learners with the skills
and knowledge necessary to thrive in today's rapidly evolving digital landscape.
This comprehensive collection comprises over 60 specialized courses, totaling
more than 300 hours of engaging content, covering a wide spectrum of topics in
artificial intelligence (AI), machine learning (ML), data science, and cloud
computing.

Through expert-led instruction, hands-on projects, and real-world case studies,
learners will embark on a journey of exploration and discovery, delving into key
concepts, methodologies, and tools essential for harnessing the power of data
and emerging technologies. From mastering programming languages like Python and
R to navigating advanced topics such as deep learning, predictive modeling, and
cloud architecture, participants will acquire practical skills and insights to
drive innovation and make informed decisions in their respective fields.

With specialized specializations and learning paths tailored to different areas
of interest and career goals, learners can tailor their learning journey to suit
their individual needs and aspirations. Whether aspiring data scientists,
machine learning engineers, cloud architects, or business analysts, participants
will find a wealth of resources and opportunities to enhance their expertise and
advance their careers in the dynamic and competitive landscape of AI, ML, and
data science.

Throughout the courses, learners will have the opportunity to engage with
interactive exercises, quizzes, and assignments, allowing them to apply their
newfound knowledge and skills in practical contexts. Additionally, mock tests
and assessments provide learners with valuable feedback and insights into their
progress, enabling them to track their development and identify areas for
improvement.

By completing this comprehensive course bundle, participants will emerge
equipped with the confidence, competence, and credentials needed to excel in
their chosen field and drive meaningful impact through data-driven innovation
and technology-driven solutions.


SAMPLE CERTIFICATE

--------------------------------------------------------------------------------

INDUSTRY GROWTH TREND

20162016201720172018201820192019202020202021202119.5823.136.4568.4589.15101.37



The overall data science platform market is expected to grow from USD 19.58
billion in 2016 to USD 101.37 billion by 2021, at a CAGR of 38.9% from 2016 to
2021. The base year considered for the study is 2015, and the forecast has been
provided for the period between 2016 and 2021.
[Source - MarketsandMarkets]


AVERAGE SALARY

$39,000$39,000$120,301$120,301$245,000$245,000

Average Salary$120,191 per year
Salary estimates are based on 3,154 salaries submitted anonymously to Indeed by
Data Scientist employees. The typical tenure for a Data Scientist is less than 1
year.
[Source - Indeed]



REQUIREMENTS

 * Basic understanding of programming concepts and syntax.
 * Familiarity with data analysis and statistical methods.
 * Knowledge of algebra and calculus for advanced machine learning and AI
   topics.
 * Basic understanding of databases and SQL for data manipulation and querying.
 * Familiarity with Linux command line for working with cloud platforms and
   server management.
 * Understanding of fundamental networking concepts for cloud computing and IoT.
 * Basic knowledge of business concepts and processes for analytics and BI
   courses.
 * Familiarity with software development lifecycle for DevOps and software
   engineering courses.
 * Basic understanding of data visualization principles and tools.
 * Willingness to learn and adapt to new technologies and tools throughout the
   courses.


TARGET AUDIENCE

 * Aspiring data scientists and AI professionals looking to master various
   machine learning and AI techniques.
 * Software engineers interested in expanding their skill set to include data
   science and machine learning.
 * Business analysts seeking to enhance their analytical capabilities with
   predictive modeling and data visualization skills.
 * IT professionals aiming to transition into roles focused on big data
   analytics, cloud computing, and IoT.
 * Students and graduates aspiring to build a career in the field of data
   science, artificial intelligence, or business analytics.
 * Professionals from diverse industries looking to leverage data-driven
   insights for decision-making and strategic planning.
 * Entrepreneurs and business owners seeking to understand and utilize data
   analytics for business growth and innovation.
 * Anyone passionate about technology and eager to explore the exciting field of
   data science and AI.
 * Individuals interested in advancing their careers by acquiring in-demand
   skills related to machine learning, big data, and cloud technologies.
 * Organizations seeking to upskill their workforce in the latest technologies
   and tools to stay competitive in the digital age.


COURSE RATINGS

 * Comprehensive course for refresher
   
   
   Great course for someone like me who's been using Excel everyday but didn't
   know about data analysis tool available in it. I've always have to open JMP
   for analysis even just for simple charting and correlation plotting. Now I
   know I can do that in Excel too. Thanks! 🙂
   
   Michelle Esber

 * Statistical Tools in Excel: Review
   
   
   This course was great to attend and learn about Excel's "Data Analytics"
   add-in function!
   
   Sumari Hattingh Van Niekerk

 * Android Mobile Apps Foundation Course
   
   
   A useful course in teaching the basics of application programming will be
   better if homework is activated
   
   Ala Hussain Ali Al Turaifi

 * Good course on learning Stats Tools
   
   
   Good course on learning Stats Tools using Excel - well explained in a simple
   manner and it covered the basics I needed to analyse data. Very useful
   formulas to understand the relationship and correlation between data points
   in forecasting future trends. I will definitely add value to me analyzing
   data.
   
   Arno Wakfer CA

$149 $299 50% Off




ENROLL NOW * One Time Payment & Get Lifetime Access

Offer ends in:

0 0 0 7 4 0 0 1

Training 5 or more people?

Get your team access to 5,000+ top courses, learning paths, mock tests anytime,
anywhere.

Drop an email at: info@educba.com


Footer

FOLLOW US!

 * 
 * 

APPS

COMPANY

 * About us
 * Alumni Speak
 * Contact Us
 * Log in
 * Sign up

WORK WITH US

 * Careers
 * Become an Instructor

EDUCBA FOR ENTERPRISE

 * Enterprise Solutions
 * Explore Programs
 * Free Courses
 * Free Tutorials
 * EDUCBA at Coursera
 * EDUCBA at Udemy

RESOURCES

 * Blog
 * Self-Paced Training
   
 * ExamTurf
 * Verifiable Certificate
 * Popular Skills Catalogue
 * Exam Prep Catalogue

POPULAR CATEGORIES

 * Lifetime Membership
 * All in One Bundles
 * Featured Skills
 * New & Trending
 * Fresh Entries
 * Finance
 * Data Science
 * Programming and Dev
 * Excel
 * Marketing
 * HR
 * PDP
 * VFX and Design
 * Project Management
 * Exam Prep
 * Learning Paths @ $19
 * Learning Paths @ $49
 * All Courses

 * Terms & Conditions
 * Disclaimer
 * Privacy Policy & Cookie Policy
 * Shipping Policy

ISO 10004:2018 & ISO 9001:2015 Certified

© 2024 - EDUCBA. ALL RIGHTS RESERVED. THE CERTIFICATION NAMES ARE THE TRADEMARKS
OF THEIR RESPECTIVE OWNERS.

Limited Time Offer!

Offer Ends in
0 0 0 0 1 9 5 5
*Offer is valid only for next 20 min
Get Additional 20% OFF on
$149$119.2Enroll Now
X

COURSE CURRICULUM


x
Let’s Get Started


Email ID *


By signing up, you agree to our Terms of Use and Privacy Policy.

X



x

*Please provide your correct email id. Login details for this Free course will
be emailed to you
X

X
EDUCBA Login

Username
Password

Forgot Password?

Submit
X

CoursesNo. of HoursJava Servlets Tutorial | Java Servlets Courses9h 26mFinancial
Modeling - Broadcasting Sector2h 5mEquity Research Report Writing - Dos and
Don'ts1h 9mMedical Diagnostics Market in India0h Financial Modeling - Indian
Telecommunication Sector3h 48mFinancial Ratio Analysis - A Case Study on Asian
Paints1h 15mMS Excel Dashboard Course2h 23mPrivate Equity (PE) Excel Modeling2h
25mMicrosoft Excel 2010 - DAX in Power Pivot0h 11mAndroid Mobile Apps Foundation
Course5h 17mFinancial Modeling - Automobile Sector4h 27mFinancial modeling -
ABC1h 58mDDM - An Overview to Dividend Discount Model (DDM)0h 36mFinancial
Modeling - Time Warner3h 48mFinancial Modeling - Automobile Sector4h 27mExcel
101 - Basic Excel for 2013 and Later Versions4h 08mStatistical Tools in
Microsoft Excel1h 11mFinancial Functions In MS Excel2h 36mAdvanced Charts
Features in Microsoft Excel 20100h 8mMicrosoft Excel - Worksheet Dialog Box
Controls and Form Controls0h 27m


TAKE THIS BUNDLE
x

This website or its third-party tools use cookies, which are necessary to its
functioning and required to achieve the purposes illustrated in the cookie
policy. By closing this banner, scrolling this page, clicking a link or
continuing to browse otherwise, you agree to our Privacy Policy

OK

Special Rainy Season 95% OFF - All in One Universal Bundle (3700+ Courses) @
$159 0 0 0 7 4 0 0 1 ENROLL NOW