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WHY DATAMITES INSTITUTE FOR PYTHON COURSE

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SYLLABUS OF PYTHON CERTIFICATION IN PHILIPPINES

  • 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 PHILIPPINES

PYTHON TRAINING COURSE REVIEWS

ABOUT DATAMITES PYTHON TRAINING IN PHILIPPINES

The global python market size is expected to reach USD 22,176.70 Million by the year 2028 at a CAGR rate of 8.10% according to a Data Bridge Market Research report. Python training has a promising future scope in the Philippines, due to its versatility and broad applications in fields such as data science, web development, and automation. Many industries, including finance, healthcare, and e-commerce, are increasingly relying on Python for their operations. The rising demand for Python developers in the Philippines indicates that the language's future prospects are positive, with ample opportunities for career growth and development.

DataMites offers a comprehensive Python training program in the Philippines that includes essential topics such as Python programming and popular Data Science packages like Numpy, Pandas, Sklearn, Scipy, and Matplotlib. The Python course provides an engaging learning experience over four months, with 20 hours of live online training, 400 learning hours, and one-year access to Elearning. With a successful track record of training over 50,000 students worldwide, DataMites provides career and placement guidance to equip students with the necessary skills. After completing the course, students receive an IABAC certification, and they gain access to a Data Science cloud lab, self-study materials, intensive live online training, and resume preparation assistance. Moreover, DataMites supports students in finding internships and job placements that meet industry requirements.

DataMites provides a Certified Python Developer Training Course in the Philippines led by experienced instructors, offering students a comprehensive learning experience. The course comprises a specialized syllabus, five case studies, and career and placement support. Depending on their preference, students can choose course fees for Certified Python Developer Training Course in the Philippines ranging from PHP 14,653 for blended mode learning to PHP 34,030 for live virtual training. The course also includes ten capstone projects and one client project, facilitating a deeper learning experience.

Python training has promising career opportunities in the Philippines, with its broad applications in various fields like data science, web development, and automation. The demand for Python developers is increasing in various industries such as finance, healthcare, and e-commerce. Python's versatility and wide-ranging use make it a valuable skill set, leading to ample job opportunities and career growth potential for those who have Python training in the Philippines. The salary of a Python developer in the Philippines is PHP 912,844 per year according to an ERI Economic Research Institute report. Join DataMites for more information regarding the course.

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

ABOUT PYTHON COURSE IN PHILIPPINES

FAQ’S OF PYTHON COURSE IN PHILIPPINES

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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