Data Science Course with Python in Denver, CO, United States

The Data Science with Python course has been thoughtfully designed to make you a dependable Data Scientist ready to take on significant roles in top tech companies. At the end of the course, you will be able to:

• Build Python programs: distribution, user-defined functions, importing datasets and more
• Manipulate and analyse data using Pandas library
• Data visualization with Python libraries: Matplotlib, Seaborn, and ggplot
• Distribution of data: variance, standard deviation, interquartile range
• Calculating conditional probability via Hypothesis Testing
• Analysis of Variance (ANOVA)
• Building linear regression models, evaluating model parameters, and measuring performance metrics
• Using Dimensionality Reduction Technique
• Building Binomial Logistic Regression models, evaluating model parameters, and measuring performance metrics
• Building KNN algorithm models to find the optimum value of K
• Building Decision Tree models for both regression and classification problems
• Build Python programs: distribution, user-defined functions, importing datasets and more
• Manipulate and analyse data using Pandas library
• Visualize data with Python libraries: Matplotlib, Seaborn, and ggplot
• Build data distribution models: variance, standard deviation, interquartile range
• Calculate conditional probability via Hypothesis Testing
• Perform analysis of variance (ANOVA)
• Build linear regression models, evaluate model parameters, and measure performance metrics
• Use Dimensionality Reduction
• Build Logistic Regression models, evaluate model parameters, and measure performance metrics
• Perform K-means Clustering and Hierarchical Clustering
• Build KNN algorithm models to find the optimum value of K
• Build Decision Tree models for both regression and classification problems
• Build data visualization models for Time Series data and components
• Perform exponential smoothing

Our program is designed to suit all levels of Data Science expertise. From the fundamentals to the advanced concepts in Data Science, the data science with Python course covers everything you need to know, whether you’re a novice or an expert.

Yes, our applied Data Science with Python course is designed to offer flexibility for you to upskill as per your convenience. We have both weekday and weekend batches to accommodate your current job.

In addition to the training hours, we recommend spending about 2 hours every day, for the duration of course. This format is convenient when compared to other Data Science with Python courses.

The Data Science with Python course is ideal for:

• Anyone Interested in the field of data science
• Anyone looking for a more robust, structured Python learning program
• Anyone looking to use Python for effective analysis of large datasets
• Software or Data Engineers interested in quantitative analysis with Python
• Data Analysts, Economists or Researcher

There are no prerequisites for attending this practical Data Science with Python certification course, however prior knowledge of elementary programming, preferably using Python, would prove to be handy.

Below are the technical skills that you need if you want to become a data scientist.

• Mathematics - You don't need to have a Ph.D. in math but it is important to have a basic knowledge of linear algebra, algorithms, and statistics.
• Machine Learning – Stand out from other data scientists by learning ML techniques, such as logistic regression, decision trees, supervised machine learning, etc. These skills will help in solving different data science problems.
• Coding – In order to analyze the data, the data scientist must know how to manipulate codes. Python is one of the most popular and easy languages.

Other important skills are –

• Software engineering skills (e.g. distributed computing, algorithms and data structures)
• Data mining
• Data cleaning and munging
• Data visualization (e.g. ggplot and d3.js) and reporting techniques
• Unstructured data techniques
• R and/or SAS languages
• SQL databases and database querying languages
• Big data platforms like Hadoop, Hive, and Pig 
• Proficiency in Deep Learning Frameworks: TensorFlow, Keras, Pytorch
• Cloud tools like Amazon S3 

We have listed down all the essential Data Science Skills required for Data Science enthusiasts to start their career in Data Science

Apart from these Data Scientists are also required to have the following business skills:

• Analytic Problem-Solving – In order to find a solution, it is important to first understand and analyze what the problem is. To do that, a clear perspective and awareness of the right strategies are needed.
• Communication Skills – Communicating customer analytics or deep business to companies is one of the key responsibilities of data scientists.
• Intellectual Curiosity -  If you are not curious enough to get an answer to that "why", then data science is not for you. It’s the combination of curiosity and thirst to deliver results that offers great value to a commercial enterprise.
• Industry Knowledge – Last, but not least, this is perhaps one of the most important skills. Having solid industry knowledge will give you a more clear idea of what needs attention and what needs to be ignored. 

To attend the Data Science with Python training program, the basic hardware and software requirements are as mentioned below -

Hardware requirements

• Windows 8 / Windows 10 OS, MAC OS >=10, Ubuntu >= 16 or latest version of other popular Linux flavors
• 4 GB RAM
• 10 GB of free space

Software Requirements

• Web browser such as Google Chrome, Microsoft Edge, or Firefox

System Requirements

• 32 or 64-bit Operating System
• 8 GB of RAM

On adequately completing all aspects of the Data Science with Python course, you will be offered a Data Science with Python certification from KnowledgeHut. 

In addition, you will get to showcase your newly acquired data-handling and programming skills by working on live projects, thus, adding value to your portfolio. The assignments and module-level projects further enrich your learning experience. You also get the opportunity to practice your new knowledge and skillset on independent capstone projects.

By the end of the course, you will have the opportunity to work on a capstone project. The project is based on real-life scenarios and carried-out under the guidance of industry experts. You will go about it the same way you would execute a data science project in the real business world.

Below is the roadmap to becoming a data scientist:

• Getting Started: Choose a programming language in which you are comfortable. We suggest Python as a suitable programming language.
• Mathematics and Statistics: The science in Data Science is all about dealing with the data (maybe numerical, textual or an image), making patterns and relationships between them. You must have a good understanding of basic algebra and statistics.
• Data Visualization: One of the most important steps in this learning path is the visualization of data. You must make it as simple as possible so that the other non-technical teams are able to grasp its contents as well. It is important to learn data visualization to communicate better with the end-users.
• ML and Deep Learning: Having deep learning skills to go along with basic ML skills on the CV is a must for every data scientist as it is through deep learning and ML techniques that you will be able to analyze the data given to you. 

Data Science is one of the emerging fields in terms of its scope to business and job opportunities. Python is one of the most popular programming languages and has become the language of choice for Data Scientists. Learning Python with Data Science puts you in a favourable position to be hired as a skilled data scientist.

The Data Science with Python workshop at KnowledgeHut is delivered through our LMS.

The Data Science with Python course is delivered by leading practitioners who bring trending, best practices, and case studies from their experience to the training sessions. The instructors are industry-recognized experts with over 10 years of experience in Data Science. 

The instructors will not only impart conceptual knowledge but end-to-end mentorship too, with hands-on guidance on the real-world projects.

Our Date Science course focuses on engaging interaction. Most class time is dedicated to fun hands-on exercises, lively discussions, case studies and team collaboration, all facilitated by an instructor who is an industry expert. The focus is on developing immediately applicable skills to real-world problems.

Such a workshop structure enables us to deliver an applied learning experience. This reputable workshop structure has worked well with thousands of engineers, whom we have helped upskill, over the years. 

Our Data Science with Python workshops are currently held online. So, anyone with a stable internet, from anywhere across the world, can access the course and benefit from it.

Schedules for our upcoming workshops in Data Science with Python can be found here.

We currently use the Zoom platform for video conferencing. We will also be adding more integrations with Webex and Microsoft Teams. However, all the sessions and recordings will be available right from within our learning platform. Learners will not have to wait for any notifications or links or install any additional software.

You will receive a registration link from our LMS to your e-mail id. You will have to visit the link and set your password. After which, you can log in to our platform and start your educational journey.

Yes, there are other participants who actively participate in the class. They remotely attend online training from office, home, or any place of their choosing.

In case of any queries, our support team is available to you 24/7 via the Help and Support section. You can also reach out to your workshop manager via group messenger.

If you miss a class, you can access the class recordings from our LMS at any time. At the beginning of every session, there will be a 10-12-minute recapitulation of the previous class.

Should you have any more questions, please raise a ticket or email us at support@knowledgehut.com and we will be happy to get back to you.

We at KnowledgeHut, conduct Data Science with Python courses in all the cities across the globe, and here are a few listed for your reference:

With our 100% Satisfaction Guarantee policy, you are assured of the highest standards of quality. At KnowledgeHut, we strive to ensure that your learning experience with us is beyond reproach. However, if for any reason your expectations are not met, we will refund the Data Science with Python course fee in accordance with our 100% Satisfaction Guarantee policy.

Yes, you can switch the start date to your Data Science with Python training, with prior notice of at least 24 hrs and subject to availability in the desired batch.

Yes, we have a 100% money-back guarantee in line with our 100% Satisfaction Guarantee policy.

Yes, scholarships are available for students and veterans with grants up to 50% of the course fees.

To avail scholarships for our Data Science with Python course, please get in touch with us at support@knowledgehut.com. The team shall send across the forms and instructions to you. Based upon the responses and answers that we receive, our panel of experts take a decision on the Grant. The entire process could take about 7 to 15 days.

Yes, group discounts are available and apply to groups as small as three (3) participants. The more participants that attend a training course, the greater the discount. By registering in groups, you can typically save up 20% to 30% on the course fee. For more details, please check out upcoming schedules.

Yes, instalment options are available for payment of Data Science with Python course fee. To avail the instalment option, please get in touch with us at support@knowledgehut.com. The team will explain how the instalments work and provide timelines for your case.

Typically, the number of instalments vary from 2 to 3, but the full amount must be paid before you complete the course.