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Enroll in the Python Programming Certificate Course and learn in-depth from a Python specialist!

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Course Duration

32 Hrs.

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2 Project

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  • Python is basically an interpreted high-standard general-purpose programming language. You will find its design philosophy emphasizing code readability with its use of important indentation. At the moment, Python Certification Course is one of the fast-growing languages across the globe. Its object-oriented structure makes it different, and preferable for all sorts of software solutions. Amongst developers, it is one of the best software existing.
  • So, if you have an interest in learning this Python Programming Certificate Course, then you should surely get started with the Python Class immediately. To acquire its detailed Python Training, you should get associated with Croma Campus. Here, you will receive quite an unusual sort of Python Certification Course that will make your base knowledge strong.
  • Things you will learn in Python Certification Course:
    • By enrolling in our Python Programming Certificate Course, you will get an opportunity to experience a whole new learning experience.

      You will receive training from industry experts and professionals.

      You will be ensured of 100% placement as well.

      Furthermore, here, our faculty members will involve you in an interactive sort of training.

Python Training Program

About-Us-Course

  • You might consider Python Course in Delhi with Certification difficult, but it's eventually not that complex. In fact, Python Certification is rather interesting to explore its different sections, and sides. Our trainers will thoroughly help you to understand every bit, and piece in a quite easier manner.
    • In the beginning, our faculty members will teach you the basics, and fundamentals of this subject.

      Furthermore, you will receive sessions regarding 'functions, positional and keyword arguments, *args and **kwargs, Classes, etc.

      Our trainers will provide you with detailed training on "Lists, List comprehension, Dictionaries, Sets, Tuples, etc.

      All these terms might sound complex to you, but our trainers will help you to understand each one of its uses and its significance.

      You will be explained each, and every topic with reference to several instances as well.

  • Python is one of the most demanding technologies. In fact, there are lots of companies hiring skilled Python Developers as well, but comparably as per the demand, the grant is quite low. So, taking up Python Certification Course at this point will be beneficial for your career.
    • By getting started with our Python Course, you will get the chance to accumulate new features, and trends in this subject.

      By obtaining Python Certification in hand, you will always receive a quite higher salary than normal candidates.

      To be exact, you will earn around 427,293 per year, which is quite decent for starters.

      Well, with experience, and imbibing more skills, your salary structure will also get expanded.

      In fact, as a freelancer developer also, you will be able to make a good amount of money as well.

  • Ever since its invention, Python has been in demand because of its exceptional offerings. If you aspire to construct your career out of Advanced Python Programming Course, then you should surely know about its minute details.
    • By obtaining this Python Certification Course, your career graph will get uplifted.

      From starting your career with Rs. 4 Lakh, your salary structure will get enhanced up to Rs. 8 Lakh respectively.

      This Python Certification will provide you with several job roles. like you can become a developer, Data Scientist, Software Engineer, etc.

      With these different job roles, your salary package will also get affected positively.

      Your chances of getting settled into a good workspace will increase post acquiring Python Course in Noida with Certification.

  • At the moment, there are numerous reasons to get started with the Python Certification Course. One of the significant benefits of this programming language is that it's easy to read, learn and write respectively.
    • By enrolling in our Python Certification, you will get the chance to acquire in-depth information on this subject.

      In fact, Python is an interpreted language which means that Python wholly executes the code line by line consecutively.

      It's also free, and open-source, which means you can easily download the source code.

      You will find this technology comprising vast library support.

      Its portability nature also makes it unique from its contemporaries.

      By obtaining its legitimate certification of Python Class, you will be able to stick in this field in the long run.

  • A Python Developer has to perform a number of tasks on a daily basis. Often, they are expected to work more than their main job roles. So, if you also aspire to turn into a Python Developer, then you should surely know what duties you will have to perform. Moreover, Python Certification Course will help you to analyze each role of this designation better.
    • Your foremost duty will be to write, test, use, and script code.

      You will also have to indulge in examining, implying, and understanding business requirements, feature modification requests, and adding effective software components.

      Working as Python Develop will include you in developing backend components to accelerate the overall performance and receptiveness, of server-side logic tasks.

      Testing and debugging software applications with the Python test framework will also be your main role.

      You will also have to indulge in enhancing the functionalities of current software systems respectively.

      You have to also come up with AI and ML-based features models.

      Often you will have to work closely with the designer to come up with new ideas for enhancing a specific website.

  • At the moment, numerous companies are hiring skilled Python Developers. So, if you have an interest in stepping into the IT, and development field, then you should surely take up this Python Certification Course seriously.
    • Accenture, TCS, Cognizant, etc. are some of the established companies hiring skilled Python Developers

      By enrolling in our Python Certification, you will get the opportunity to get placed in huge establishments.

      In fact, right from the beginning, our faculty members will help you to crack the interview process.

      By getting into these companies, you will get a good salary structure as well.

      Our detailed Python Class will help you to understand this subject from a different perspective.

  • Croma Campus is a bona-fide institution that deals in imparting training in IT, courses. It is in fact, the one-of-a-kind institution that has been doing consistently well in this industry. One of the reasons why candidates prefer this institution is its assured placement facility.
    • You will find all our courses are highly acknowledged in the real industry.

      You will also get a fair chance to know other courses as well.

      Here, our trainers will help you to choose adequate Python Training for yourself.

      They will guide you concerning its entry-level, and master-level of Python Courses as well.

      Moreover, you will receive in-depth Python Certification Course by skilled industry experts.

Why Should You Learn Python Certification Course?

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CURRICULUM & PROJECTS

Python Training Program

    What is Data Analytic

    Common Terms in Data Analytics

    What is data

    Classication of data

    Relevance in industry and need of the hour

    Types of problems and business objectives in various industries

    How leading companies are harnessing the power of analytics

    Critical success drivers.

    Overview of Data Analytics tools & their popularity.

    Data Analytics Methodology & problem-solving framework.

    List of steps in Data Analytics projects

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    Introduction To Python

    • Installation and Working with Python
    • Understanding Python variables
    • Python basic Operators
    • Understanding the Python blocks.

    Python Keyword and Identiers

    • Python Comments, Multiline Comments.
    • Python Indentation
    • Understating the concepts of Operators
      • Arithmetic
      • Relational
      • Logical
      • Assignment
      • Membership
      • Identity
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    Introduction to Statistics

    • Categorical Data
    • Numerical Data
    • Mean
    • Median
    • Mode
    • Outliers
    • Range
    • Interquartile range
    • Correlation
    • Standard Deviation
    • Variance
    • Box plot

    Understanding Statistics

    • Descriptive Statistics
    • Sample vs Population Statistics
    • Random variables
    • Probability distribution functions
    • Expected value
    • Normal distribution
    • Gaussian distribution
    • Z-score
    • Spread and Dispersion
    • Correlation and Co-variance

    Data Pre-Processing & Data Mining

    • Data Preparation
    • Feature Engineering
    • Feature Scaling
    • Datasets
    • Dimensionality Reduction
    • Anomaly Detection
    • Parameter Estimation
    • Data and Knowledge
    • Selected Applications in Data Mining

    EDA (Exploratory Data Analysis)

    • Need for structured exploratory data
    • EDA framework for exploring the data and identifying any problems with the data (Data Audit Report)
    • Identify missing data
    • Identify outliers’ data
    • Imbalanced Data Techniques
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    Data Analysis and Visualization using Pandas.

    • Read data from Excel File using Pandas More Plotting, Date Time Indexing and writing to les
    • How to get record specic records Using Pandas Adding & Resetting Columns, Mapping with function
    • Using the Excel File class to read multiple sheets More Mapping, Filling Nonvalue’s
    • Exploring the Data Plotting, Correlations, and Histograms
    • Getting statistical information about the data Analysis Concepts, Handle the None Values
    • Reading les with no header and skipping records Cumulative Sums and Value Counts, Ranking etc
    • Reading a subset of columns Data Maintenance, Adding/Removing Cols and Rows
    • Applying formulas on the columns Basic Grouping, Concepts of Aggre gate Function
    • Complete Understanding of Pivot Table Data Slicing using iLoc and Loc property (Setting Indices)
    • Under sting the Properties of Pivot Table in Pandas Advanced Reading CSVs/HTML, Binning, Categorical Data
    • Exporting the results to Excel Joins
    • Python | Pandas Data Frame Inner Join
    • Under sting the properties of Data Frame Left Join (Left Outer Join)
    • Indexing and Selecting Data with Pandas Right Join (Right Outer Join)
    • Pandas | Merging, Joining and Concatenating Full Join (Full Outer Join)
    • Pandas | Find Missing Data and Fill and Drop NA Appending Data Frame and Data
    • Pandas | How to Group Data How to apply Lambda / Function on Data Frame
    • Other Very Useful concepts of Pandas in Python Data Time Property in Pandas (More and More)

    Data Analysis and Visualization using NumPy

    • Introduction to NumPy Numerical Python
    • Importing NumPy and Its Properties
    • NumPy Arrays
    • Creating an Array from a CSV
    • Operations an Array from a CSV
    • Operations with NumPy Arrays
    • Two-Dimensional Array
    • Selecting Elements from 1-D Array
    • Selecting Elements from 2-D Array
    • Logical Operation with Arrays
    • Indexing NumPy elements using conditionals
    • NumPy’s Mean and Axis
    • NumPy’s Mode, Median and Sum Function
    • NumPy’s Sort Function and More

    Data Analysis and Visualization using MatPlotLib

    • Bar Chart using Python MatPlotLib
    • Column Chart using Python MatPlotLib
    • Pie Chart using Python MatPlotLib
    • Area Chart using Python MatPlotLib
    • Scatter Plot Chart using Python MatPlotLib
    • Play with Charts Properties Using MatPlotLib
    • Export the Chart as Image
    • Understanding plt. subplots () notation
    • Legend Alignment of Chart using MatPlotLib
    • Create Charts as Image
    • Other Useful Properties of Charts.
    • Complete Understanding of Histograms
    • Plotting Different Charts, Labels, and Labels Alignment etc.

    Introduction to Data Visualization with Seaborn

    • Introduction to Seaborn
    • Making a scatter plot with lists
    • Making a count plot with a list
    • Using Pandas with seaborn
    • Tidy vs Untidy data
    • Making a count plot with a Dataframe
    • Adding a third variable with hue
    • Hue and scattera plots
    • Hue and count plots
    • Visualizing Two Quantitative Variables
      • Introduction to relational plots and subplots
      • Creating subplots with col and row
      • Customizing scatters plots
      • Changing the size of scatter plot points
      • Changing the style of scatter plot points
      • Introduction to line plots
      • Interpreting line plots
      • Visualizing standard deviation with line plots
      • Plotting subgroups in line plots
    • Visualizing a Categorical and a Quantitative Variable
      • Current plots and bar plots
      • Count plots
      • Bar plot with percentages
      • Customizing bar plots
      • Box plots
      • Create and interpret a box plot
      • Omitting outliers
      • Adjusting the whisk
      • Point plots
      • Customizing points plots
      • Point plot with subgroups
    • Customizing Seaborn Plots
      • Changing plot style and colour
      • Changing style and palette
      • Changing the scale
      • Using a custom palette
      • Adding titles and labels Part 1
      • Face Grids vs. Axes Subplots
      • Adding a title to a face Grid object
      • Adding title and labels Part 2
      • Adding a title and axis labels
      • Rotating x-tics labels
      • Putting it all together
      • Box plot with subgroups
      • Bar plot with subgroups and subplots
      • Well done! What’s next
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32 Hrs.
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Weekday1 Hr/Day
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