PYTHON CERTIFICATION AUTHORITIES

Phyton Course Features

PYTHON LEAD MENTORS

PYTHON COURSE FEES IN AUSTIN

Live Virtual

Instructor Led Live Online

340
159

  • IBM® & IABAC® Certification
  • 4-Month | 200 Learning Hours
  • 60-Hour Live Online Training
  • 10 Capstone & 1 Client Project
  • 365 Days Flexi Pass + Cloud Lab
  • Internship + Job Assistance

Blended Learning

Self Learning + Live Mentoring

210
99

  • Self Learning + Live Mentoring
  • IBM® & IABAC® Certification
  • 1 Year Access To Elearning
  • 10 Capstone & 1 Client Project
  • Job Assistance
  • 24*7 Learner assistance and support

Corporate Training

Customize Your Training


  • Instructor-Led & Self-Paced training
  • Customized Learning Options
  • Industry Expert Trainers
  • Case Study Approach
  • Enterprise Grade Learning
  • 24*7 Cloud Lab

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WHY DATAMITES INSTITUTE FOR PYTHON COURSE

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SYLLABUS OF PYTHON CERTIFICATION IN AUSTIN

  • Installing Python Anaconda distribution
  • Python native Data Types
  • Math & Comparision Operators
  • Conditional Statement
  • Loops
  • Lists, Tuples, Strings, Dictionaries, Sets
  • Functions
  • Exception Handling
  • Importing Numpy
  • Numpy overview
  • Numpy Array creation and basic operations
  • Numpy Universal functions
  • Selecting and retrieving Data
  • Data Slicing
  • Iterating Numpy Data
  • Shape Manupilation
  • Stacking and Splitting Arrays
  • Copies and Views : no copy, shallow copy , deep copy

 

  • Importing Pandas
  • Pandas overview
  • Object Creation : Series Object , DataFrame Object
  • View Data
  • Selecting data by Label and Position
  • Data Slicing
  • Boolean Indexing
  • Setting Data
  • Applying functions to data
  • Histogramming
  • String Methods
  • Merge Data : Concat, Join and Append
  • Grouping & Aggregation
  • Reshaping
  • Analysing Data for missing values
  • Filling missing values: fill with constant, forward filling, mean
  • Removing Duplicates
  • Transforming Data
  • Droping Data
  • Sorting Data
  • Pivot Tables
  • Time Series
  • Categoricals
  • Ploting Data
  • Import and Export Data
  • Descriptive Statistics : Sum, Mean, Median, Variance, Standard Deviation
  • Summarizing Categorical Data
  • Plotting with Pandas
  • Correlation : Continuous and Categorical ( Pearson Corr Coff)
  • Chi-Square test for independence
  • Normalizing & Standarding
    • Importing MatPlotLib & Seaborn Libraries
    • Creating basic chart : Line Chart, Bar Charts and Pie Charts
    • Ploting from Pandas object
    • Saving a plot
    • Object Oriented Plotting : Setting axes limits and ticks
    • Multiple Plots
    • Plot Formatting : Custom Lines, Markers, Labels, Annotations, Colors
    • Satistical Plots with Seaborn

OFFERED PYTHON COURSES IN AUSTIN

PYTHON TRAINING COURSE REVIEWS

ABOUT DATAMITES PYTHON TRAINING IN AUSTIN

Growing popularity in web development: Python's popularity is also growing in web development, with frameworks such as Django and Flask gaining popularity among developers. This growth is fueled by the language's versatility and ease of use.

DataMites Python Course in Austin is designed to help individuals learn and apply Python to solve real-world problems. This course provides a perfect blend of theoretical concepts and hands-on coding exercises, equipping students with the knowledge and skills needed to become proficient in Python programming.

Austin, the capital of Texas, is a vibrant city with a thriving tech scene. With the rise of data-driven technologies, the demand for Python developers in Austin is at an all-time high. Python is used in a wide range of fields, including web development, machine learning, and artificial intelligence, making it a highly sought-after skill in the job market. A python developer salary in Austin is $120,944 per annum as per Indeed.com

Joining DataMites Python Training in Austin is the perfect way to upskill and kickstart your career in the field of programming and data science. This Python course is designed to cater to the needs of beginners and experts alike, providing a solid foundation in Python programming. Whether you are looking to switch careers or enhance your skills, this course is the ideal investment in your future. DataMites Python Course with Internship in Austin is another fantastic opportunity to gain practical experience and learn from industry experts. This internship program provides students with the chance to work on real-time projects, collaborate with experienced professionals, and enhance their resume.

DataMites Python Training Course in Austin is an excellent investment in your future. With the ever-increasing demand for Python developers in the city, this course provides the perfect opportunity to upskill and stay ahead of the curve. Join today to get started on your path to success!

Along with the python developer course, DataMites also provides data analyst course, deep learning, data engineer, tableau, r programming, machine learning, mlops, power bi, data analytics, artificial intelligence and  data science  courses in Austin.

ABOUT PYTHON COURSE IN AUSTIN

FAQ’S OF PYTHON COURSE IN AUSTIN

The DataMites Placement Assistance Team(PAT) facilitates the aspirants in taking all the necessary steps in starting their career in Data Science. Some of the services provided by PAT are: -

  • 1. Job connect
  • 2. Resume Building
  • 3. Mock interview with industry experts
  • 4. Interview questions

The DataMites Placement Assistance Team(PAT) conducts sessions on career mentoring for the aspirants with a view of helping them realize the purpose they have to serve when they step into the corporate world. The students are guided by industry experts about the various possibilities in the Data Science career, this will help the aspirants to draw a clear picture of the career options available. Also, they will be made knowledgeable about the various obstacles they are likely to face as a fresher in the field, and how they can tackle.

No, PAT does not promise a job, but it helps the aspirants to build the required potential needed in landing a career. The aspirants can capitalize on the acquired skills, in the long run, to a successful career in Data Science.

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