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Data Science with Python Certification Training in Dallas Course With Placement Assurance

Overview of Data Science Training Course in Dallas

This course follows a curriculum that covers all the major aspects of data science such as machine learning,data integration, data architecture, data visualization, predictive analytics, etc.We provide data science course in Dallas also.


Benefits of learning Data Science

Data science-related courses from Apponix will let you make the most out of the demand for skilled professionals in this sector so that you can land a high-paying job at your dream company.

With our data science certificate online or offline course, you will surely be able to have a competitive edge over other applicants interested to have a lucrative career in the field of data science.


Data Science related jobs

  • Data Analyst
  • Data Scientist
  • Data Engineer
  • Data Architect
  • Analytics Manager/Lead
  • Machine Learning Engineer
  • Statistical Programming Specialist

2000+ Ratings

3000+ Learners

Skills Covered in Data Science

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Python full coding from scratch
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Visualization with Python
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Machine Learning with Python - 6 different algorithms
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Robotic Automation
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Multiple Linear regression
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Logistic regression
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Cluster Analysis
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SQL queries(with Python)

Data Science Courses

What is the scope of data science career?

Because it is rated as one of the top job sectors in terms of career growth opportunities, job satisfaction and pay scale. Furthermore, the demand for data scientists is always high as the number of skilled professionals is comparatively less.

Can I learn data science even if I don’t have any prior knowledge about this field?

Yes, you can learn data science even if you do not have any prior knowledge about this field as we will also take classes on basic concepts of data science.

Our complete data science Bootcamp does not come with exams and certification but an industry-recognized data science course completion certificate will be offered after you score 80 % at the one-hour-long exam we will conduct that will contain 25 objective-type questions about the course.

Data science is an umbrella term for the processes a data scientist uses to uncover patterns all the while extracting business-critical information from huge amounts of data derived from various sources.

Why Should You Learn Data Science ?

  •  28-35% of boost in the field since 2023
  •  Expecting massive recruitment
  •  Handsome salary ranges from around 3.5 to 10 lakhs per year
  •  Majority of the firms are moving to be insights-drive which increases the trends in and around big data, AI, cloud computing, etc. This enhancement of data maturity heightened the need of data science
  •  Huge investment of MNCs in Big Data and AI sectors which demands greater implementations of Data Science
  •  Along with analyzing and comprehending the data trends, a data scientist has to interpret and decipher the laws in an appropriate and approachable manner for the business tycoons, and also formulate advance solutions over it.

Python and Machine Learning 

Python's versatility and extensive library support have made it the go-to language for machine learning and artificial intelligence (AI) applications.
 Machine learning, a subset of AI, revolves around training algorithms to make predictions or decisions based on data. Python's strengths align seamlessly with the requirements of this field.

Ecosystem: Python boasts a wealth of libraries and frameworks dedicated to machine learning, such as TensorFlow,PyTorch, Scikit-Learn, and Keras. These libraries provide pre-built tools and models that streamline the development process.

Ease of Learning: Python's simplicity and readability lower the barrier to entry for newcomers to machine learning. Its syntax resembles pseudocode, making it accessible for those
with varying levels of programming experience.

Data Manipulation: Libraries like NumPy and pandas enable efficient data manipulation, transformation, and analysis. These tools are essential for preprocessing datasets before training machine learning models.

Visualization: Python's libraries like Matplotlib and Seaborn allow for easy data visualization, helping data scientists and machine learning engineers explore datasets and present results effectively.

Community and Support: Python has a thriving community of data scientists, machine learning practitioners, and researchers. This community provides extensive documentation,
tutorials, and forums for sharing knowledge and troubleshooting issues.

Scalability: Python is suitable for both prototyping and scaling machine learning projects. Developers can initially build models quickly and then optimize 
them for production use.

Integration: Python can be seamlessly integrated into various data science and machine learning workflows. It can work with databases, web APIs, and other technologies commonly used in data-driven applications.

Deployment: Python offers various deployment options for machine learning models, including web services, containerization (e.g., Docker), and cloud platforms (e.g., AWS, Azure, Google Cloud).

Community Packages: Beyond machine learning, Python's ecosystem includes packages for natural language processing, computer vision, reinforcement learning, and more, 
broadening its applications within AI.

 

Career

Data Science Training Key Features

60 Hrs Practical Sessions
Guaranteed 5 Interviews
Assured Job Placement
CV Building activities
Interview preparation
Mock Interview sessions
100% Money-Back Guarantee
Delivered by Senior Data Scientist
18 Case studies on Machine Learning
IABAC Certified Data Scientist Certification
IABAC Certification Voucher for Free worth $136

Data Science Course Objectives

  • Data science is a rapidly growing field, and proficiency in Python is becoming an essential skill for professionals in a variety of industries. Our Data Science with Python Certification Training Course provides hands-on experience working with Python libraries, giving you practical skills that you can apply in real-world data science scenarios. Here are some reasons why you should consider taking our course:
  • Career Advancement: With the increasing demand for data science professionals, proficiency in Python can help you advance your career or transition into a new role. Our certification can demonstrate your expertise in the field, giving you a competitive edge in the job market and enhancing your professional credibility.
  • Comprehensive Understanding: Our course covers fundamental concepts, tools, and techniques used in data science, providing you with a comprehensive understanding of the field. You will learn how to use Python libraries such as NumPy, Pandas, Matplotlib, and Scikit-learn to manipulate and analyze data, build predictive models, and visualize data.
  • Hands-On Experience: Our course provides hands-on experience working with real-world datasets, giving you practical skills that you can apply in your job. You will work on projects throughout the course, giving you the opportunity to practice what you've learned and build a portfolio of data science projects.
  • Personalized Instruction: Our experienced trainers provide personalized instruction to help you develop proficiency in key areas, such as data manipulation, data visualization, and machine learning. You will receive feedback and guidance throughout the course, helping you to improve your skills and achieve your learning objectives.
  • Flexibility: Our course is flexible and can be taken online, allowing you to learn at your own pace and on your own schedule. You can access the course materials and assignments from anywhere, and our trainers are available to answer your questions and provide support throughout the course.

Why is Data Science with Python more popular?

  • Python is one of the most popular programming languages used in data science, and for good reason. Python is easy to learn and use, has a large community of developers, and offers a wide range of libraries and tools for data analysis and machine learning. Python is also a versatile language that can be used for a variety of applications, from web development to scientific computing.
  • Data Science with Python is becoming more popular because it offers a powerful combination of data analysis tools and programming capabilities. With Python, you can quickly and easily manipulate large datasets, build predictive models, and visualize data. Python also offers a wide range of libraries and frameworks for machine learning, including Scikit-learn, TensorFlow, and PyTorch.

Job Opportunities for Data Science with Python professionals in 2023

  • The demand for data science professionals with expertise in Python is expected to continue to grow in the coming years. According to a report by LinkedIn, data science is one of the fastest-growing job sectors, with a projected growth rate of 37% by 2023. In addition, Python is one of the most in-demand programming languages, with a 27% increase in job postings between 2018 and 2021.
  • Data science professionals with expertise in Python are highly sought after by a variety of industries, including healthcare, finance, retail, and technology. Some of the job titles that you may be qualified for after completing our Data Science with Python certification course include:
  • Data Scientist
  • Data Analyst
  • Machine Learning Engineer
  • Business Intelligence Analyst
  • Data Engineer
  • With the skills and knowledge gained from our certification course, you can position yourself for a rewarding career in the rapidly growing field of data science.

Fees & Training Options

Online Training

$

  • Interactive Live Training Sessions
  • 60+ Hrs Practical Learning
  • Delivered by Working Professionals
  • 1 Year Access to Recorded Sessions
  • Placement Assurance
  • Guaranteed 10 Interview Arrangements
  • Weekdays & Weekend batches
  • Authorized IABAC Training Delivery
     
Enroll Now

Data Science Training Syllabus

Prerequisites

No prerequisites for learning data science but if you have some previous knowldge on computer science & statistics it helps you a lot in understanding subjects fast.

Secondly, you need to have an analytical mind – that is all you would need to enroll for Statistics For Data Science Courses.
 

Data Science Course Syllabus

Overview of the course
Class 1: Introduction to Python Programming Language
  • Introduction and Installation of Python software Python packages: Pandas, & Numpy
  • Concepts of Data frame Filtering
  • Loc and iloc for filtering Usage of Boolean in Filtering Appending
Class 2: Data handling in Python
  • Handling of Missing values If else statement
  • Extra trick of using if else statement Removal of Duplicates
  • Frequency Distribution
  • Merging – Inner, Outer, Left and Right Binding and Appending
  • Descriptive Statistics o Inbuilt Numeric functions of R
Class 3: More data handling using Python
  • Pivot Table of Excel in Python Grouping function
  • Learning of SQL queries using Python Grouping numeric data
Class 4: Additional functions of Python
  • Text functions
  • Data cleaning with efficient text functions Inbuilt String functions of Python Reshape functions of Python
Class 5: Statistics
  • Everything you want to know about statistics….Well sort of!! Mean, Median, Mode
  • Standard Deviation, Variance, Normal Distribution Hypothesis testing
  • T-test, Anova, Normality test
Class 6: Linear Regression
Class 7 : Linear Regression Practice Case Study
  • Predictive Analytics – Linear Regression Concepts of Linear Regression
  • Simple and Multiple Linear Regression Automatic Dummy Variablescreation technique Model Validation parameters
  • Model Assumption testing
  • Splitting of data for Validation and testing
  • Business Case Study with real data to model in Python

Participants will be asked to develop a Linear Regression model on a real life data, in presence of the instructor. Time given is 2.5 hours. Participants will be treated like an industry employee, but in terms of help certainly the instructor will not be as ruthless as the boss. After completion of the model (with the help of the instructor wherever it is required), the instructor will show how to present a model to a real life client.

Class 8: Logistic Regression
Class 9: Logistic Regression Practice Case Study
  • Predictive Analytics – Logistic Regression Concepts of LogisticRegression
  • Difference between Linear Regression and Logistic RegressionAutomatic Dummy Variables creation technique
  • Model Validation parameters Model Assumption testing
  • Splitting of data for Validation and testing
  • Business Case Study with real data to model in Python

Participants will be asked to develop a Logistic Regression model on a real life data, in presence of the instructor. Time given is 2.5 hours. Participants will be treated like an industry employee, but in terms of help certainly the instructor will not be as ruthless as the boss. After completion of the model (with the help of the instructor wherever it is required), the instructor will show how to present a model to a real life client.

Class 10: Time Series Forecasting
  • Time series forecasting: ARIMA
  • Difference between forecasting and prediction Concepts of time series data
  • Concepts of ARIMA
  • Descriptive analytics for ARIMA Development of model
  • Best model selection Forecasting with the best model Residual analysis
  • Business Case Study with real data to model in R software
  • Participants will be asked to develop a model in presence of the instructor.
Class 11: Cluster Analysis
  • Unsupervised Machine Learning with Python Cluster Analysis: Concepts
  • Cluster analysis with Python – K Means, Hierarchical etc.
Class 12: Decision Tree and Random Forest
  • Concepts of Decision Tree Decision Tree with Python Concepts ofRandom Forest Random Forest with Python
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Become an IABAC certified Data Scientist

We are certified partner of IABAC.

The International Association of Business Analytics Certification (IABAC™) is a Globally recognized Professional Association dedicated to growing and enhancing the field of applied Data Science and Business Analytics. 

We provide you below exam voucher worth of $220 for free.

Certified Data Scientist Certification (CDS – DS2050)

Certified Data Scientist Certification (CDS – DS2050)

If you clear the exam you will become a Certified Data Scientist.

The Certified Data Science Developer certification provided by IABAC has recognition on a global platform.

It consists of concepts in programming languages like R and Python, the basics of Data Science and Machine Learning, and industry cases for data science.

Yes, machine learning is a part of data science.

Exploring, sorting and analyzing big data obtained from various sources in a bid to optimize the internal and external processes of a business is the primary objective of data science.

It is a method of analyzing data. It is also a part of artificial intelligence as it allows computer systems to identify patterns and make decisions without any help from humans.

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Career after Data Science Course

Data science is trending as a highly sought-after career among tech enthusiasts and people who want to put in their effort to make the tech industry all the more advanced but with that stated, securing a job as a data scientist is easier said than done.

Why Data Science?

We are IABAC certified.

Well, without proper data science training in Dallas from an industry-recognized technical training academy like Apponix, one can find that they are struggling to keep up with the competition that will be trained in data science courses online.

IT companies these days have finally understood that they need professionals who are experts in deriving valuable business-critical information from the data they collect from a plethora of sources.

If an IT company wants to invest in data-driven technologies such as automation, machine learning, and artificial intelligence then it will need professionals who are highly skilled and have all the prerequisites of a qualified data scientist.

Since, all services that are currently available to people around the world whether it be their streaming service provider to their preferred Search Engine, use the data-driven technologies mentioned above, it is evident that the demand for data scientists will witness an exponential increase in the coming years!

With that stated, if you are on the hunt for quality-assured data science training online then choose Apponix – as we have been offering our data science course with placement in Dallas since 2014.

Over the years, our data science training course in Dallas has helped countless students find their way amidst the cutthroat competition and secure a high-paying job as a data scientist in leading tech companies in India and abroad.

For more details, feel free to get in touch with us.

 

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Data Science Course Reviews

Frequently Asked Questions

Yes, you need to have basic knowledge about various programming languages like Python, C/C++, SQL, and Java alongside a basic understanding of computer coding.

 All courses available online  & Offline classes are available in Bangalore, Pune, Chennai only.

It is mentioned under the training options. Online, Offline & self paced learning course fees differs.

Course duration is 2 months or 60 Hrs Usually daily 2 hrs.
 

Yes, We provide course completion certificate on web design & development. apart from this there is 1 more certificate called as “ Apponix Certified Professional in Data Science”
If you score more than 80% in the exam you will be awarded as “Apponix Certified Professional”

Yes, we provide you the assured placement. we have a dedicated team for placement assistance.
 

 All our trainers are working professional having more than 6 years of relevant industry experience.

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Enroll for Data Science course & get 12 Months FREE Access to LInkedIn Learning.

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Data science course is best suited for

Fresh Gradutes and Professionals like –

  • Banking and Finance Professionals
  • IT Professionals
  • Analytics Managers
  • Business Analysts
  • Marketing Managers
  • Supply Chain Network Managers
  • Graduates with a Bachelors's or Master’s degree – are the ideal candidates for this course.
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